diff --git "a/dynamic_feed.json" "b/dynamic_feed.json" --- "a/dynamic_feed.json" +++ "b/dynamic_feed.json" @@ -1,12 +1,12 @@ { - "generated_at": "2026-05-30T13:35:07.525552+00:00", + "generated_at": "2026-05-30T14:15:25.877761+00:00", "license": "CC-BY-4.0 (attribution to https://dynamicfeed.ai)", "models": [ { - "id": 153, + "id": 154, "provider": "openai", - "model_id": "gpt-5-nano", - "display_name": "gpt-5-nano", + "model_id": "gpt-5-nano-2025-08-07", + "display_name": "gpt-5-nano-2025-08-07", "input_per_1m": 0.05, "output_per_1m": 0.4, "cached_input_per_1m": 0.005, @@ -18,25 +18,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 154, - "provider": "openai", - "model_id": "gpt-5-nano-2025-08-07", - "display_name": "gpt-5-nano-2025-08-07", + "id": 1209, + "provider": "groq", + "model_id": "llama-3.1-8b-instant", + "display_name": "llama-3.1-8b-instant", "input_per_1m": 0.05, - "output_per_1m": 0.4, - "cached_input_per_1m": 0.005, - "context_window": 272000, - "max_output_tokens": 128000, - "modalities": "text,image", + "output_per_1m": 0.08, + "cached_input_per_1m": null, + "context_window": 128000, + "max_output_tokens": 8192, + "modalities": "text", "supports_tools": true, - "supports_vision": true, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1211, @@ -54,31 +54,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1209, - "provider": "groq", - "model_id": "llama-3.1-8b-instant", - "display_name": "llama-3.1-8b-instant", + "id": 153, + "provider": "openai", + "model_id": "gpt-5-nano", + "display_name": "gpt-5-nano", "input_per_1m": 0.05, - "output_per_1m": 0.08, - "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 8192, - "modalities": "text", + "output_per_1m": 0.4, + "cached_input_per_1m": 0.005, + "context_window": 272000, + "max_output_tokens": 128000, + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1251, + "id": 1252, "provider": "mistral", - "model_id": "mistral-small-latest", - "display_name": "mistral-small-latest", + "model_id": "mistral-small-3-2-2506", + "display_name": "mistral-small-3-2-2506", "input_per_1m": 0.06, "output_per_1m": 0.18, "cached_input_per_1m": null, @@ -90,13 +90,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1252, + "id": 1251, "provider": "mistral", - "model_id": "mistral-small-3-2-2506", - "display_name": "mistral-small-3-2-2506", + "model_id": "mistral-small-latest", + "display_name": "mistral-small-latest", "input_per_1m": 0.06, "output_per_1m": 0.18, "cached_input_per_1m": null, @@ -108,25 +108,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1217, - "provider": "groq", - "model_id": "gpt-oss-20b", - "display_name": "gpt-oss-20b", + "id": 1317, + "provider": "google", + "model_id": "gemini-2.0-flash-lite-001", + "display_name": "gemini-2.0-flash-lite-001", "input_per_1m": 0.075, "output_per_1m": 0.3, - "cached_input_per_1m": 0.0375, - "context_window": 131072, - "max_output_tokens": 32768, - "modalities": "text", + "cached_input_per_1m": 0.0187, + "context_window": 1048576, + "max_output_tokens": 8192, + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1117, @@ -144,7 +144,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1217, + "provider": "groq", + "model_id": "gpt-oss-20b", + "display_name": "gpt-oss-20b", + "input_per_1m": 0.075, + "output_per_1m": 0.3, + "cached_input_per_1m": 0.0375, + "context_window": 131072, + "max_output_tokens": 32768, + "modalities": "text", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1218, @@ -162,115 +180,151 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1317, - "provider": "google", - "model_id": "gemini-2.0-flash-lite-001", - "display_name": "gemini-2.0-flash-lite-001", - "input_per_1m": 0.075, + "id": 1225, + "provider": "mistral", + "model_id": "devstral-small-2505", + "display_name": "devstral-small-2505", + "input_per_1m": 0.1, "output_per_1m": 0.3, - "cached_input_per_1m": 0.0187, - "context_window": 1048576, - "max_output_tokens": 8192, + "cached_input_per_1m": null, + "context_window": 128000, + "max_output_tokens": 128000, + "modalities": "text", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1253, + "provider": "mistral", + "model_id": "ministral-3-3b-2512", + "display_name": "ministral-3-3b-2512", + "input_per_1m": 0.1, + "output_per_1m": 0.1, + "cached_input_per_1m": null, + "context_window": 131072, + "max_output_tokens": 131072, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1250, + "id": 105, + "provider": "openai", + "model_id": "gpt-4.1-nano-2025-04-14", + "display_name": "gpt-4.1-nano-2025-04-14", + "input_per_1m": 0.1, + "output_per_1m": 0.4, + "cached_input_per_1m": 0.025, + "context_window": 1047576, + "max_output_tokens": 32768, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1226, "provider": "mistral", - "model_id": "mistral-small", - "display_name": "mistral-small", + "model_id": "devstral-small-2507", + "display_name": "devstral-small-2507", "input_per_1m": 0.1, "output_per_1m": 0.3, "cached_input_per_1m": null, - "context_window": 32000, - "max_output_tokens": 8191, + "context_window": 128000, + "max_output_tokens": 128000, "modalities": "text", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1115, + "id": 1120, "provider": "google", - "model_id": "gemini-2.0-flash", - "display_name": "gemini-2.0-flash", + "model_id": "gemini-2.5-flash-lite-preview-09-2025", + "display_name": "gemini-2.5-flash-lite-preview-09-2025", "input_per_1m": 0.1, "output_per_1m": 0.4, - "cached_input_per_1m": 0.025, + "cached_input_per_1m": 0.01, "context_window": 1048576, - "max_output_tokens": 8192, - "modalities": "text,image,audio", + "max_output_tokens": 65535, + "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1116, + "id": 1119, "provider": "google", - "model_id": "gemini-2.0-flash-001", - "display_name": "gemini-2.0-flash-001", + "model_id": "gemini-2.5-flash-lite", + "display_name": "gemini-2.5-flash-lite", "input_per_1m": 0.1, "output_per_1m": 0.4, - "cached_input_per_1m": 0.025, + "cached_input_per_1m": 0.01, "context_window": 1048576, - "max_output_tokens": 8192, + "max_output_tokens": 65535, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1120, + "id": 1115, "provider": "google", - "model_id": "gemini-2.5-flash-lite-preview-09-2025", - "display_name": "gemini-2.5-flash-lite-preview-09-2025", + "model_id": "gemini-2.0-flash", + "display_name": "gemini-2.0-flash", "input_per_1m": 0.1, "output_per_1m": 0.4, - "cached_input_per_1m": 0.01, + "cached_input_per_1m": 0.025, "context_window": 1048576, - "max_output_tokens": 65535, - "modalities": "text,image", + "max_output_tokens": 8192, + "modalities": "text,image,audio", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1253, - "provider": "mistral", - "model_id": "ministral-3-3b-2512", - "display_name": "ministral-3-3b-2512", + "id": 1116, + "provider": "google", + "model_id": "gemini-2.0-flash-001", + "display_name": "gemini-2.0-flash-001", "input_per_1m": 0.1, - "output_per_1m": 0.1, - "cached_input_per_1m": null, - "context_window": 131072, - "max_output_tokens": 131072, + "output_per_1m": 0.4, + "cached_input_per_1m": 0.025, + "context_window": 1048576, + "max_output_tokens": 8192, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 104, @@ -288,43 +342,61 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 105, - "provider": "openai", - "model_id": "gpt-4.1-nano-2025-04-14", - "display_name": "gpt-4.1-nano-2025-04-14", + "id": 1228, + "provider": "mistral", + "model_id": "labs-devstral-small-2512", + "display_name": "labs-devstral-small-2512", + "input_per_1m": 0.1, + "output_per_1m": 0.3, + "cached_input_per_1m": null, + "context_window": 256000, + "max_output_tokens": 256000, + "modalities": "text", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 278, + "provider": "google", + "model_id": "gemini-flash-lite-latest", + "display_name": "gemini-flash-lite-latest", "input_per_1m": 0.1, "output_per_1m": 0.4, - "cached_input_per_1m": 0.025, - "context_window": 1047576, - "max_output_tokens": 32768, + "cached_input_per_1m": 0.01, + "context_window": 1048576, + "max_output_tokens": 65535, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1228, + "id": 1250, "provider": "mistral", - "model_id": "labs-devstral-small-2512", - "display_name": "labs-devstral-small-2512", + "model_id": "mistral-small", + "display_name": "mistral-small", "input_per_1m": 0.1, "output_per_1m": 0.3, "cached_input_per_1m": null, - "context_window": 256000, - "max_output_tokens": 256000, + "context_window": 32000, + "max_output_tokens": 8191, "modalities": "text", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1227, @@ -342,16 +414,16 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 278, + "id": 1124, "provider": "google", - "model_id": "gemini-flash-lite-latest", - "display_name": "gemini-flash-lite-latest", + "model_id": "gemini-2.5-flash-lite-preview-06-17", + "display_name": "gemini-2.5-flash-lite-preview-06-17", "input_per_1m": 0.1, "output_per_1m": 0.4, - "cached_input_per_1m": 0.01, + "cached_input_per_1m": 0.025, "context_window": 1048576, "max_output_tokens": 65535, "modalities": "text,image", @@ -360,79 +432,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1124, - "provider": "google", - "model_id": "gemini-2.5-flash-lite-preview-06-17", - "display_name": "gemini-2.5-flash-lite-preview-06-17", - "input_per_1m": 0.1, - "output_per_1m": 0.4, - "cached_input_per_1m": 0.025, - "context_window": 1048576, - "max_output_tokens": 65535, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1226, - "provider": "mistral", - "model_id": "devstral-small-2507", - "display_name": "devstral-small-2507", - "input_per_1m": 0.1, - "output_per_1m": 0.3, - "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 128000, - "modalities": "text", - "supports_tools": true, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1225, - "provider": "mistral", - "model_id": "devstral-small-2505", - "display_name": "devstral-small-2505", - "input_per_1m": 0.1, - "output_per_1m": 0.3, - "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 128000, - "modalities": "text", - "supports_tools": true, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1119, - "provider": "google", - "model_id": "gemini-2.5-flash-lite", - "display_name": "gemini-2.5-flash-lite", - "input_per_1m": 0.1, - "output_per_1m": 0.4, - "cached_input_per_1m": 0.01, - "context_window": 1048576, - "max_output_tokens": 65535, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1214, @@ -450,7 +450,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1097, @@ -468,25 +468,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 120, + "id": 121, "provider": "openai", - "model_id": "gpt-4o-mini-2024-07-18", - "display_name": "gpt-4o-mini-2024-07-18", + "model_id": "gpt-4o-mini-audio-preview", + "display_name": "gpt-4o-mini-audio-preview", "input_per_1m": 0.15, "output_per_1m": 0.6, - "cached_input_per_1m": 0.075, + "cached_input_per_1m": null, "context_window": 128000, "max_output_tokens": 16384, - "modalities": "text,image", + "modalities": "text,audio", "supports_tools": true, - "supports_vision": true, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1256, @@ -504,43 +504,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1254, + "id": 1264, "provider": "mistral", - "model_id": "ministral-3-8b-2512", - "display_name": "ministral-3-8b-2512", + "model_id": "pixtral-12b-2409", + "display_name": "pixtral-12b-2409", "input_per_1m": 0.15, "output_per_1m": 0.15, "cached_input_per_1m": null, - "context_window": 262144, - "max_output_tokens": 262144, + "context_window": 128000, + "max_output_tokens": 128000, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1216, - "provider": "groq", - "model_id": "gpt-oss-120b", - "display_name": "gpt-oss-120b", - "input_per_1m": 0.15, - "output_per_1m": 0.6, - "cached_input_per_1m": 0.075, - "context_window": 131072, - "max_output_tokens": 32766, - "modalities": "text", - "supports_tools": true, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 126, @@ -558,43 +540,43 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 125, - "provider": "openai", - "model_id": "gpt-4o-mini-search-preview", - "display_name": "gpt-4o-mini-search-preview", + "id": 1254, + "provider": "mistral", + "model_id": "ministral-3-8b-2512", + "display_name": "ministral-3-8b-2512", "input_per_1m": 0.15, - "output_per_1m": 0.6, - "cached_input_per_1m": 0.075, - "context_window": 128000, - "max_output_tokens": 16384, + "output_per_1m": 0.15, + "cached_input_per_1m": null, + "context_window": 262144, + "max_output_tokens": 262144, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1264, - "provider": "mistral", - "model_id": "pixtral-12b-2409", - "display_name": "pixtral-12b-2409", + "id": 125, + "provider": "openai", + "model_id": "gpt-4o-mini-search-preview", + "display_name": "gpt-4o-mini-search-preview", "input_per_1m": 0.15, - "output_per_1m": 0.15, - "cached_input_per_1m": null, + "output_per_1m": 0.6, + "cached_input_per_1m": 0.075, "context_window": 128000, - "max_output_tokens": 128000, + "max_output_tokens": 16384, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 122, @@ -612,25 +594,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 121, + "id": 120, "provider": "openai", - "model_id": "gpt-4o-mini-audio-preview", - "display_name": "gpt-4o-mini-audio-preview", + "model_id": "gpt-4o-mini-2024-07-18", + "display_name": "gpt-4o-mini-2024-07-18", "input_per_1m": 0.15, "output_per_1m": 0.6, - "cached_input_per_1m": null, + "cached_input_per_1m": 0.075, "context_window": 128000, "max_output_tokens": 16384, - "modalities": "text,audio", + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 119, @@ -648,13 +630,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1301, + "id": 1216, + "provider": "groq", + "model_id": "gpt-oss-120b", + "display_name": "gpt-oss-120b", + "input_per_1m": 0.15, + "output_per_1m": 0.6, + "cached_input_per_1m": 0.075, + "context_window": 131072, + "max_output_tokens": 32766, + "modalities": "text", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1297, "provider": "xai", - "model_id": "grok-4-1-fast-non-reasoning-latest", - "display_name": "grok-4-1-fast-non-reasoning-latest", + "model_id": "grok-4-1-fast", + "display_name": "grok-4-1-fast", "input_per_1m": 0.2, "output_per_1m": 0.5, "cached_input_per_1m": 0.05, @@ -666,61 +666,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1311, + "id": 1294, "provider": "xai", - "model_id": "grok-code-fast-1-0825", - "display_name": "grok-code-fast-1-0825", + "model_id": "grok-4-fast-non-reasoning", + "display_name": "grok-4-fast-non-reasoning", "input_per_1m": 0.2, - "output_per_1m": 1.5, - "cached_input_per_1m": 0.02, - "context_window": 256000, - "max_output_tokens": 256000, + "output_per_1m": 0.5, + "cached_input_per_1m": 0.05, + "context_window": 2000000, + "max_output_tokens": 2000000, "modalities": "text", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1255, - "provider": "mistral", - "model_id": "ministral-3-14b-2512", - "display_name": "ministral-3-14b-2512", - "input_per_1m": 0.2, - "output_per_1m": 0.2, - "cached_input_per_1m": null, - "context_window": 262144, - "max_output_tokens": 262144, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1213, - "provider": "groq", - "model_id": "llama-4-maverick-17b-128e-instruct", - "display_name": "llama-4-maverick-17b-128e-instruct", - "input_per_1m": 0.2, - "output_per_1m": 0.6, - "cached_input_per_1m": null, - "context_window": 131072, - "max_output_tokens": 8192, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 4, @@ -738,43 +702,43 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 147, - "provider": "openai", - "model_id": "gpt-5.4-nano-2026-03-17", - "display_name": "gpt-5.4-nano-2026-03-17", + "id": 1298, + "provider": "xai", + "model_id": "grok-4-1-fast-reasoning", + "display_name": "grok-4-1-fast-reasoning", "input_per_1m": 0.2, - "output_per_1m": 1.25, - "cached_input_per_1m": 0.02, - "context_window": 272000, - "max_output_tokens": 128000, - "modalities": "text,image", + "output_per_1m": 0.5, + "cached_input_per_1m": 0.05, + "context_window": 2000000, + "max_output_tokens": 2000000, + "modalities": "text,image,audio", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1309, + "id": 1293, "provider": "xai", - "model_id": "grok-code-fast", - "display_name": "grok-code-fast", + "model_id": "grok-4-fast-reasoning", + "display_name": "grok-4-fast-reasoning", "input_per_1m": 0.2, - "output_per_1m": 1.5, - "cached_input_per_1m": 0.02, - "context_window": 256000, - "max_output_tokens": 256000, + "output_per_1m": 0.5, + "cached_input_per_1m": 0.05, + "context_window": 2000000, + "max_output_tokens": 2000000, "modalities": "text", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1299, @@ -792,85 +756,85 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1298, - "provider": "xai", - "model_id": "grok-4-1-fast-reasoning", - "display_name": "grok-4-1-fast-reasoning", + "id": 1212, + "provider": "groq", + "model_id": "llama-guard-4-12b", + "display_name": "llama-guard-4-12b", "input_per_1m": 0.2, - "output_per_1m": 0.5, - "cached_input_per_1m": 0.05, - "context_window": 2000000, - "max_output_tokens": 2000000, - "modalities": "text,image,audio", - "supports_tools": true, - "supports_vision": true, + "output_per_1m": 0.2, + "cached_input_per_1m": null, + "context_window": 8192, + "max_output_tokens": 8192, + "modalities": "text", + "supports_tools": false, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1297, - "provider": "xai", - "model_id": "grok-4-1-fast", - "display_name": "grok-4-1-fast", + "id": 1213, + "provider": "groq", + "model_id": "llama-4-maverick-17b-128e-instruct", + "display_name": "llama-4-maverick-17b-128e-instruct", "input_per_1m": 0.2, - "output_per_1m": 0.5, - "cached_input_per_1m": 0.05, - "context_window": 2000000, - "max_output_tokens": 2000000, - "modalities": "text,image,audio", + "output_per_1m": 0.6, + "cached_input_per_1m": null, + "context_window": 131072, + "max_output_tokens": 8192, + "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1294, + "id": 1301, "provider": "xai", - "model_id": "grok-4-fast-non-reasoning", - "display_name": "grok-4-fast-non-reasoning", + "model_id": "grok-4-1-fast-non-reasoning-latest", + "display_name": "grok-4-1-fast-non-reasoning-latest", "input_per_1m": 0.2, "output_per_1m": 0.5, "cached_input_per_1m": 0.05, "context_window": 2000000, "max_output_tokens": 2000000, - "modalities": "text", + "modalities": "text,image,audio", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1293, + "id": 1300, "provider": "xai", - "model_id": "grok-4-fast-reasoning", - "display_name": "grok-4-fast-reasoning", + "model_id": "grok-4-1-fast-non-reasoning", + "display_name": "grok-4-1-fast-non-reasoning", "input_per_1m": 0.2, "output_per_1m": 0.5, "cached_input_per_1m": 0.05, "context_window": 2000000, "max_output_tokens": 2000000, - "modalities": "text", + "modalities": "text,image,audio", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1310, + "id": 1309, "provider": "xai", - "model_id": "grok-code-fast-1", - "display_name": "grok-code-fast-1", + "model_id": "grok-code-fast", + "display_name": "grok-code-fast", "input_per_1m": 0.2, "output_per_1m": 1.5, "cached_input_per_1m": 0.02, @@ -882,7 +846,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 57, @@ -900,67 +864,85 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1212, - "provider": "groq", - "model_id": "llama-guard-4-12b", - "display_name": "llama-guard-4-12b", + "id": 1255, + "provider": "mistral", + "model_id": "ministral-3-14b-2512", + "display_name": "ministral-3-14b-2512", "input_per_1m": 0.2, "output_per_1m": 0.2, "cached_input_per_1m": null, - "context_window": 8192, - "max_output_tokens": 8192, - "modalities": "text", - "supports_tools": false, - "supports_vision": false, + "context_window": 262144, + "max_output_tokens": 262144, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1300, + "id": 1310, "provider": "xai", - "model_id": "grok-4-1-fast-non-reasoning", - "display_name": "grok-4-1-fast-non-reasoning", + "model_id": "grok-code-fast-1", + "display_name": "grok-code-fast-1", "input_per_1m": 0.2, - "output_per_1m": 0.5, - "cached_input_per_1m": 0.05, - "context_window": 2000000, - "max_output_tokens": 2000000, - "modalities": "text,image,audio", + "output_per_1m": 1.5, + "cached_input_per_1m": 0.02, + "context_window": 256000, + "max_output_tokens": 256000, + "modalities": "text", "supports_tools": true, - "supports_vision": true, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1223, - "provider": "mistral", - "model_id": "codestral-mamba-latest", - "display_name": "codestral-mamba-latest", - "input_per_1m": 0.25, - "output_per_1m": 0.25, - "cached_input_per_1m": null, + "id": 1311, + "provider": "xai", + "model_id": "grok-code-fast-1-0825", + "display_name": "grok-code-fast-1-0825", + "input_per_1m": 0.2, + "output_per_1m": 1.5, + "cached_input_per_1m": 0.02, "context_window": 256000, "max_output_tokens": 256000, "modalities": "text", - "supports_tools": false, + "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1259, + "id": 147, + "provider": "openai", + "model_id": "gpt-5.4-nano-2026-03-17", + "display_name": "gpt-5.4-nano-2026-03-17", + "input_per_1m": 0.2, + "output_per_1m": 1.25, + "cached_input_per_1m": 0.02, + "context_window": 272000, + "max_output_tokens": 128000, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1257, "provider": "mistral", - "model_id": "open-mistral-7b", - "display_name": "open-mistral-7b", + "model_id": "mistral-tiny", + "display_name": "mistral-tiny", "input_per_1m": 0.25, "output_per_1m": 0.25, "cached_input_per_1m": null, @@ -972,25 +954,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 21, - "provider": "anthropic", - "model_id": "claude-3-haiku-20240307", - "display_name": "claude-3-haiku-20240307", - "input_per_1m": 0.25, - "output_per_1m": 1.25, - "cached_input_per_1m": 0.03, - "context_window": 200000, - "max_output_tokens": 4096, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 151, @@ -1008,7 +972,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 152, @@ -1026,7 +990,61 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1223, + "provider": "mistral", + "model_id": "codestral-mamba-latest", + "display_name": "codestral-mamba-latest", + "input_per_1m": 0.25, + "output_per_1m": 0.25, + "cached_input_per_1m": null, + "context_window": 256000, + "max_output_tokens": 256000, + "modalities": "text", + "supports_tools": false, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 21, + "provider": "anthropic", + "model_id": "claude-3-haiku-20240307", + "display_name": "claude-3-haiku-20240307", + "input_per_1m": 0.25, + "output_per_1m": 1.25, + "cached_input_per_1m": 0.03, + "context_window": 200000, + "max_output_tokens": 4096, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1258, + "provider": "mistral", + "model_id": "open-codestral-mamba", + "display_name": "open-codestral-mamba", + "input_per_1m": 0.25, + "output_per_1m": 0.25, + "cached_input_per_1m": null, + "context_window": 256000, + "max_output_tokens": 256000, + "modalities": "text", + "supports_tools": false, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1128, @@ -1044,7 +1062,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1129, @@ -1062,13 +1080,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1257, + "id": 1259, "provider": "mistral", - "model_id": "mistral-tiny", - "display_name": "mistral-tiny", + "model_id": "open-mistral-7b", + "display_name": "open-mistral-7b", "input_per_1m": 0.25, "output_per_1m": 0.25, "cached_input_per_1m": null, @@ -1080,25 +1098,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1258, - "provider": "mistral", - "model_id": "open-codestral-mamba", - "display_name": "open-codestral-mamba", - "input_per_1m": 0.25, - "output_per_1m": 0.25, - "cached_input_per_1m": null, - "context_window": 256000, - "max_output_tokens": 256000, - "modalities": "text", - "supports_tools": false, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1100, @@ -1116,25 +1116,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 40, - "provider": "deepseek", - "model_id": "deepseek-reasoner", - "display_name": "deepseek-reasoner", - "input_per_1m": 0.28, - "output_per_1m": 0.42, - "cached_input_per_1m": 0.028, - "context_window": 131072, - "max_output_tokens": 65536, - "modalities": "text", - "supports_tools": false, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1101, @@ -1152,7 +1134,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 39, @@ -1170,61 +1152,61 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1219, - "provider": "groq", - "model_id": "qwen3-32b", - "display_name": "qwen3-32b", - "input_per_1m": 0.29, - "output_per_1m": 0.59, - "cached_input_per_1m": null, - "context_window": 131000, - "max_output_tokens": 131000, - "modalities": "text", - "supports_tools": true, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "id": 40, + "provider": "deepseek", + "model_id": "deepseek-reasoner", + "display_name": "deepseek-reasoner", + "input_per_1m": 0.28, + "output_per_1m": 0.42, + "cached_input_per_1m": 0.028, + "context_window": 131072, + "max_output_tokens": 65536, + "modalities": "text", + "supports_tools": false, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 277, - "provider": "google", - "model_id": "gemini-flash-latest", - "display_name": "gemini-flash-latest", - "input_per_1m": 0.3, - "output_per_1m": 2.5, - "cached_input_per_1m": 0.03, - "context_window": 1048576, - "max_output_tokens": 65535, - "modalities": "text,image", + "id": 1219, + "provider": "groq", + "model_id": "qwen3-32b", + "display_name": "qwen3-32b", + "input_per_1m": 0.29, + "output_per_1m": 0.59, + "cached_input_per_1m": null, + "context_window": 131000, + "max_output_tokens": 131000, + "modalities": "text", "supports_tools": true, - "supports_vision": true, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1291, - "provider": "xai", - "model_id": "grok-3-mini-latest", - "display_name": "grok-3-mini-latest", + "id": 1221, + "provider": "mistral", + "model_id": "codestral-2508", + "display_name": "codestral-2508", "input_per_1m": 0.3, - "output_per_1m": 0.5, - "cached_input_per_1m": 0.075, - "context_window": 131072, - "max_output_tokens": 131072, + "output_per_1m": 0.9, + "cached_input_per_1m": null, + "context_window": 256000, + "max_output_tokens": 256000, "modalities": "text", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1261, @@ -1242,31 +1224,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1114, - "provider": "google", - "model_id": "gemini-robotics-er-1.5-preview", - "display_name": "gemini-robotics-er-1.5-preview", + "id": 54, + "provider": "openai", + "model_id": "ft:gpt-4o-mini-2024-07-18", + "display_name": "ft:gpt-4o-mini-2024-07-18", "input_per_1m": 0.3, - "output_per_1m": 2.5, - "cached_input_per_1m": 0.0, - "context_window": 1048576, - "max_output_tokens": 65535, - "modalities": "text,image", + "output_per_1m": 1.2, + "cached_input_per_1m": 0.15, + "context_window": 128000, + "max_output_tokens": 16384, + "modalities": "text", "supports_tools": true, - "supports_vision": true, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1118, + "id": 281, "provider": "google", - "model_id": "gemini-2.5-flash", - "display_name": "gemini-2.5-flash", + "model_id": "gemini-exp-1206", + "display_name": "gemini-exp-1206", "input_per_1m": 0.3, "output_per_1m": 2.5, "cached_input_per_1m": 0.03, @@ -1278,7 +1260,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 269, @@ -1296,25 +1278,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1287, - "provider": "xai", - "model_id": "grok-3-mini-beta", - "display_name": "grok-3-mini-beta", - "input_per_1m": 0.3, - "output_per_1m": 0.5, - "cached_input_per_1m": 0.075, - "context_window": 131072, - "max_output_tokens": 131072, - "modalities": "text", - "supports_tools": true, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1260, @@ -1332,25 +1296,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 54, - "provider": "openai", - "model_id": "ft:gpt-4o-mini-2024-07-18", - "display_name": "ft:gpt-4o-mini-2024-07-18", + "id": 1291, + "provider": "xai", + "model_id": "grok-3-mini-latest", + "display_name": "grok-3-mini-latest", "input_per_1m": 0.3, - "output_per_1m": 1.2, - "cached_input_per_1m": 0.15, - "context_window": 128000, - "max_output_tokens": 16384, + "output_per_1m": 0.5, + "cached_input_per_1m": 0.075, + "context_window": 131072, + "max_output_tokens": 131072, "modalities": "text", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1286, @@ -1368,16 +1332,34 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1121, + "id": 270, "provider": "google", - "model_id": "gemini-2.5-flash-preview-09-2025", - "display_name": "gemini-2.5-flash-preview-09-2025", + "model_id": "gemini-2.5-flash-native-audio-preview-09-2025", + "display_name": "gemini-2.5-flash-native-audio-preview-09-2025", "input_per_1m": 0.3, "output_per_1m": 2.5, - "cached_input_per_1m": 0.075, + "cached_input_per_1m": null, + "context_window": 1048576, + "max_output_tokens": 8192, + "modalities": "text,audio", + "supports_tools": false, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 277, + "provider": "google", + "model_id": "gemini-flash-latest", + "display_name": "gemini-flash-latest", + "input_per_1m": 0.3, + "output_per_1m": 2.5, + "cached_input_per_1m": 0.03, "context_window": 1048576, "max_output_tokens": 65535, "modalities": "text,image", @@ -1386,70 +1368,70 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1221, - "provider": "mistral", - "model_id": "codestral-2508", - "display_name": "codestral-2508", + "id": 1118, + "provider": "google", + "model_id": "gemini-2.5-flash", + "display_name": "gemini-2.5-flash", "input_per_1m": 0.3, - "output_per_1m": 0.9, - "cached_input_per_1m": null, - "context_window": 256000, - "max_output_tokens": 256000, - "modalities": "text", + "output_per_1m": 2.5, + "cached_input_per_1m": 0.03, + "context_window": 1048576, + "max_output_tokens": 65535, + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 271, + "id": 1121, "provider": "google", - "model_id": "gemini-2.5-flash-native-audio-preview-12-2025", - "display_name": "gemini-2.5-flash-native-audio-preview-12-2025", + "model_id": "gemini-2.5-flash-preview-09-2025", + "display_name": "gemini-2.5-flash-preview-09-2025", "input_per_1m": 0.3, "output_per_1m": 2.5, - "cached_input_per_1m": null, + "cached_input_per_1m": 0.075, "context_window": 1048576, - "max_output_tokens": 8192, - "modalities": "text,audio", - "supports_tools": false, - "supports_vision": false, + "max_output_tokens": 65535, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 270, - "provider": "google", - "model_id": "gemini-2.5-flash-native-audio-preview-09-2025", - "display_name": "gemini-2.5-flash-native-audio-preview-09-2025", + "id": 1287, + "provider": "xai", + "model_id": "grok-3-mini-beta", + "display_name": "grok-3-mini-beta", "input_per_1m": 0.3, - "output_per_1m": 2.5, - "cached_input_per_1m": null, - "context_window": 1048576, - "max_output_tokens": 8192, - "modalities": "text,audio", - "supports_tools": false, + "output_per_1m": 0.5, + "cached_input_per_1m": 0.075, + "context_window": 131072, + "max_output_tokens": 131072, + "modalities": "text", + "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 281, + "id": 1114, "provider": "google", - "model_id": "gemini-exp-1206", - "display_name": "gemini-exp-1206", + "model_id": "gemini-robotics-er-1.5-preview", + "display_name": "gemini-robotics-er-1.5-preview", "input_per_1m": 0.3, "output_per_1m": 2.5, - "cached_input_per_1m": 0.03, + "cached_input_per_1m": 0.0, "context_window": 1048576, "max_output_tokens": 65535, "modalities": "text,image", @@ -1458,25 +1440,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1136, + "id": 271, "provider": "google", - "model_id": "gemini-gemma-2-9b-it", - "display_name": "gemini-gemma-2-9b-it", - "input_per_1m": 0.35, - "output_per_1m": 1.05, + "model_id": "gemini-2.5-flash-native-audio-preview-12-2025", + "display_name": "gemini-2.5-flash-native-audio-preview-12-2025", + "input_per_1m": 0.3, + "output_per_1m": 2.5, "cached_input_per_1m": null, - "context_window": null, + "context_window": 1048576, "max_output_tokens": 8192, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, + "modalities": "text,audio", + "supports_tools": false, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1135, @@ -1494,25 +1476,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1224, - "provider": "mistral", - "model_id": "devstral-medium-2507", - "display_name": "devstral-medium-2507", - "input_per_1m": 0.4, - "output_per_1m": 2.0, + "id": 1136, + "provider": "google", + "model_id": "gemini-gemma-2-9b-it", + "display_name": "gemini-gemma-2-9b-it", + "input_per_1m": 0.35, + "output_per_1m": 1.05, "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 128000, - "modalities": "text", + "context_window": null, + "max_output_tokens": 8192, + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1249, @@ -1530,31 +1512,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1248, + "id": 1231, "provider": "mistral", - "model_id": "mistral-medium-latest", - "display_name": "mistral-medium-latest", + "model_id": "devstral-2512", + "display_name": "devstral-2512", "input_per_1m": 0.4, "output_per_1m": 2.0, "cached_input_per_1m": null, - "context_window": 131072, - "max_output_tokens": 131072, - "modalities": "text,image", + "context_window": 256000, + "max_output_tokens": 256000, + "modalities": "text", "supports_tools": true, - "supports_vision": true, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1229, + "id": 1230, "provider": "mistral", - "model_id": "devstral-latest", - "display_name": "devstral-latest", + "model_id": "devstral-medium-latest", + "display_name": "devstral-medium-latest", "input_per_1m": 0.4, "output_per_1m": 2.0, "cached_input_per_1m": null, @@ -1566,13 +1548,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1230, + "id": 1229, "provider": "mistral", - "model_id": "devstral-medium-latest", - "display_name": "devstral-medium-latest", + "model_id": "devstral-latest", + "display_name": "devstral-latest", "input_per_1m": 0.4, "output_per_1m": 2.0, "cached_input_per_1m": null, @@ -1584,25 +1566,43 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1231, + "id": 1224, "provider": "mistral", - "model_id": "devstral-2512", - "display_name": "devstral-2512", + "model_id": "devstral-medium-2507", + "display_name": "devstral-medium-2507", "input_per_1m": 0.4, "output_per_1m": 2.0, "cached_input_per_1m": null, - "context_window": 256000, - "max_output_tokens": 256000, + "context_window": 128000, + "max_output_tokens": 128000, "modalities": "text", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1248, + "provider": "mistral", + "model_id": "mistral-medium-latest", + "display_name": "mistral-medium-latest", + "input_per_1m": 0.4, + "output_per_1m": 2.0, + "cached_input_per_1m": null, + "context_window": 131072, + "max_output_tokens": 131072, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1247, @@ -1620,7 +1620,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 103, @@ -1638,7 +1638,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 102, @@ -1656,49 +1656,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1236, - "provider": "mistral", - "model_id": "magistral-small-2506", - "display_name": "magistral-small-2506", - "input_per_1m": 0.5, - "output_per_1m": 1.5, - "cached_input_per_1m": null, - "context_window": 40000, - "max_output_tokens": 40000, - "modalities": "text", - "supports_tools": true, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1238, - "provider": "mistral", - "model_id": "magistral-small-1-2-2509", - "display_name": "magistral-small-1-2-2509", - "input_per_1m": 0.5, - "output_per_1m": 1.5, - "cached_input_per_1m": null, - "context_window": 40000, - "max_output_tokens": 40000, - "modalities": "text", - "supports_tools": true, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1244, + "id": 1243, "provider": "mistral", - "model_id": "mistral-large-2512", - "display_name": "mistral-large-2512", + "model_id": "mistral-large-3", + "display_name": "mistral-large-3", "input_per_1m": 0.5, "output_per_1m": 1.5, "cached_input_per_1m": null, @@ -1710,7 +1674,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 88, @@ -1728,7 +1692,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 89, @@ -1746,67 +1710,67 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1243, - "provider": "mistral", - "model_id": "mistral-large-3", - "display_name": "mistral-large-3", + "id": 1130, + "provider": "google", + "model_id": "gemini-3-flash-preview", + "display_name": "gemini-3-flash-preview", "input_per_1m": 0.5, - "output_per_1m": 1.5, - "cached_input_per_1m": null, - "context_window": 262144, - "max_output_tokens": 262144, + "output_per_1m": 3.0, + "cached_input_per_1m": 0.05, + "context_window": 1048576, + "max_output_tokens": 65535, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1242, + "id": 1237, "provider": "mistral", - "model_id": "mistral-large-latest", - "display_name": "mistral-large-latest", + "model_id": "magistral-small-latest", + "display_name": "magistral-small-latest", "input_per_1m": 0.5, "output_per_1m": 1.5, "cached_input_per_1m": null, - "context_window": 262144, - "max_output_tokens": 262144, - "modalities": "text,image", + "context_window": 40000, + "max_output_tokens": 40000, + "modalities": "text", "supports_tools": true, - "supports_vision": true, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1130, - "provider": "google", - "model_id": "gemini-3-flash-preview", - "display_name": "gemini-3-flash-preview", + "id": 1236, + "provider": "mistral", + "model_id": "magistral-small-2506", + "display_name": "magistral-small-2506", "input_per_1m": 0.5, - "output_per_1m": 3.0, - "cached_input_per_1m": 0.05, - "context_window": 1048576, - "max_output_tokens": 65535, - "modalities": "text,image", + "output_per_1m": 1.5, + "cached_input_per_1m": null, + "context_window": 40000, + "max_output_tokens": 40000, + "modalities": "text", "supports_tools": true, - "supports_vision": true, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1237, + "id": 1238, "provider": "mistral", - "model_id": "magistral-small-latest", - "display_name": "magistral-small-latest", + "model_id": "magistral-small-1-2-2509", + "display_name": "magistral-small-1-2-2509", "input_per_1m": 0.5, "output_per_1m": 1.5, "cached_input_per_1m": null, @@ -1818,7 +1782,43 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1244, + "provider": "mistral", + "model_id": "mistral-large-2512", + "display_name": "mistral-large-2512", + "input_per_1m": 0.5, + "output_per_1m": 1.5, + "cached_input_per_1m": null, + "context_window": 262144, + "max_output_tokens": 262144, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1242, + "provider": "mistral", + "model_id": "mistral-large-latest", + "display_name": "mistral-large-latest", + "input_per_1m": 0.5, + "output_per_1m": 1.5, + "cached_input_per_1m": null, + "context_window": 262144, + "max_output_tokens": 262144, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1098, @@ -1836,7 +1836,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1210, @@ -1854,61 +1854,61 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1290, - "provider": "xai", - "model_id": "grok-3-mini-fast-latest", - "display_name": "grok-3-mini-fast-latest", + "id": 117, + "provider": "openai", + "model_id": "gpt-audio-mini-2025-10-06", + "display_name": "gpt-audio-mini-2025-10-06", "input_per_1m": 0.6, - "output_per_1m": 4.0, - "cached_input_per_1m": 0.15, - "context_window": 131072, - "max_output_tokens": 131072, - "modalities": "text", + "output_per_1m": 2.4, + "cached_input_per_1m": null, + "context_window": 128000, + "max_output_tokens": 16384, + "modalities": "text,audio", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 158, + "id": 118, "provider": "openai", - "model_id": "gpt-realtime-mini", - "display_name": "gpt-realtime-mini", + "model_id": "gpt-audio-mini-2025-12-15", + "display_name": "gpt-audio-mini-2025-12-15", "input_per_1m": 0.6, "output_per_1m": 2.4, "cached_input_per_1m": null, "context_window": 128000, - "max_output_tokens": 4096, + "max_output_tokens": 16384, "modalities": "text,audio", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 123, + "id": 116, "provider": "openai", - "model_id": "gpt-4o-mini-realtime-preview", - "display_name": "gpt-4o-mini-realtime-preview", + "model_id": "gpt-audio-mini", + "display_name": "gpt-audio-mini", "input_per_1m": 0.6, "output_per_1m": 2.4, - "cached_input_per_1m": 0.3, + "cached_input_per_1m": null, "context_window": 128000, - "max_output_tokens": 4096, + "max_output_tokens": 16384, "modalities": "text,audio", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 124, @@ -1926,31 +1926,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 116, - "provider": "openai", - "model_id": "gpt-audio-mini", - "display_name": "gpt-audio-mini", + "id": 1288, + "provider": "xai", + "model_id": "grok-3-mini-fast", + "display_name": "grok-3-mini-fast", "input_per_1m": 0.6, - "output_per_1m": 2.4, - "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 16384, - "modalities": "text,audio", + "output_per_1m": 4.0, + "cached_input_per_1m": 0.15, + "context_window": 131072, + "max_output_tokens": 131072, + "modalities": "text", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1288, + "id": 1289, "provider": "xai", - "model_id": "grok-3-mini-fast", - "display_name": "grok-3-mini-fast", + "model_id": "grok-3-mini-fast-beta", + "display_name": "grok-3-mini-fast-beta", "input_per_1m": 0.6, "output_per_1m": 4.0, "cached_input_per_1m": 0.15, @@ -1962,13 +1962,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1289, + "id": 1290, "provider": "xai", - "model_id": "grok-3-mini-fast-beta", - "display_name": "grok-3-mini-fast-beta", + "model_id": "grok-3-mini-fast-latest", + "display_name": "grok-3-mini-fast-latest", "input_per_1m": 0.6, "output_per_1m": 4.0, "cached_input_per_1m": 0.15, @@ -1980,13 +1980,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 266, + "id": 267, "provider": "openai", - "model_id": "gpt-realtime-mini-2025-10-06", - "display_name": "gpt-realtime-mini-2025-10-06", + "model_id": "gpt-realtime-mini-2025-12-15", + "display_name": "gpt-realtime-mini-2025-12-15", "input_per_1m": 0.6, "output_per_1m": 2.4, "cached_input_per_1m": 0.06, @@ -1998,52 +1998,52 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 118, + "id": 158, "provider": "openai", - "model_id": "gpt-audio-mini-2025-12-15", - "display_name": "gpt-audio-mini-2025-12-15", + "model_id": "gpt-realtime-mini", + "display_name": "gpt-realtime-mini", "input_per_1m": 0.6, "output_per_1m": 2.4, "cached_input_per_1m": null, "context_window": 128000, - "max_output_tokens": 16384, + "max_output_tokens": 4096, "modalities": "text,audio", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 117, + "id": 266, "provider": "openai", - "model_id": "gpt-audio-mini-2025-10-06", - "display_name": "gpt-audio-mini-2025-10-06", + "model_id": "gpt-realtime-mini-2025-10-06", + "display_name": "gpt-realtime-mini-2025-10-06", "input_per_1m": 0.6, "output_per_1m": 2.4, - "cached_input_per_1m": null, + "cached_input_per_1m": 0.06, "context_window": 128000, - "max_output_tokens": 16384, + "max_output_tokens": 4096, "modalities": "text,audio", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 267, + "id": 123, "provider": "openai", - "model_id": "gpt-realtime-mini-2025-12-15", - "display_name": "gpt-realtime-mini-2025-12-15", + "model_id": "gpt-4o-mini-realtime-preview", + "display_name": "gpt-4o-mini-realtime-preview", "input_per_1m": 0.6, "output_per_1m": 2.4, - "cached_input_per_1m": 0.06, + "cached_input_per_1m": 0.3, "context_window": 128000, "max_output_tokens": 4096, "modalities": "text,audio", @@ -2052,7 +2052,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1263, @@ -2070,7 +2070,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 272, @@ -2088,7 +2088,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 145, @@ -2106,7 +2106,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 3, @@ -2124,7 +2124,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 56, @@ -2142,7 +2142,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1220, + "provider": "mistral", + "model_id": "codestral-2405", + "display_name": "codestral-2405", + "input_per_1m": 1.0, + "output_per_1m": 3.0, + "cached_input_per_1m": null, + "context_window": 32000, + "max_output_tokens": 8191, + "modalities": "text", + "supports_tools": false, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 9, @@ -2160,25 +2178,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1215, - "provider": "groq", - "model_id": "kimi-k2-instruct-0905", - "display_name": "kimi-k2-instruct-0905", - "input_per_1m": 1.0, - "output_per_1m": 3.0, - "cached_input_per_1m": 0.5, - "context_window": 262144, - "max_output_tokens": 16384, - "modalities": "text", - "supports_tools": true, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 90, @@ -2196,25 +2196,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1220, - "provider": "mistral", - "model_id": "codestral-2405", - "display_name": "codestral-2405", - "input_per_1m": 1.0, - "output_per_1m": 3.0, - "cached_input_per_1m": null, - "context_window": 32000, - "max_output_tokens": 8191, - "modalities": "text", - "supports_tools": false, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 18, @@ -2232,7 +2214,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1215, + "provider": "groq", + "model_id": "kimi-k2-instruct-0905", + "display_name": "kimi-k2-instruct-0905", + "input_per_1m": 1.0, + "output_per_1m": 3.0, + "cached_input_per_1m": 0.5, + "context_window": 262144, + "max_output_tokens": 16384, + "modalities": "text", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1222, @@ -2250,25 +2250,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 225, + "id": 223, "provider": "openai", - "model_id": "o4-mini-2025-04-16", - "display_name": "o4-mini-2025-04-16", + "model_id": "o3-mini-2025-01-31", + "display_name": "o3-mini-2025-01-31", "input_per_1m": 1.1, "output_per_1m": 4.4, - "cached_input_per_1m": 0.275, + "cached_input_per_1m": 0.55, "context_window": 200000, "max_output_tokens": 100000, - "modalities": "text,image", + "modalities": "text", "supports_tools": true, - "supports_vision": true, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 224, @@ -2286,13 +2286,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 223, + "id": 222, "provider": "openai", - "model_id": "o3-mini-2025-01-31", - "display_name": "o3-mini-2025-01-31", + "model_id": "o3-mini", + "display_name": "o3-mini", "input_per_1m": 1.1, "output_per_1m": 4.4, "cached_input_per_1m": 0.55, @@ -2304,31 +2304,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 222, + "id": 225, "provider": "openai", - "model_id": "o3-mini", - "display_name": "o3-mini", + "model_id": "o4-mini-2025-04-16", + "display_name": "o4-mini-2025-04-16", "input_per_1m": 1.1, "output_per_1m": 4.4, - "cached_input_per_1m": 0.55, + "cached_input_per_1m": 0.275, "context_window": 200000, "max_output_tokens": 100000, - "modalities": "text", + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 133, + "id": 5, "provider": "openai", - "model_id": "gpt-5.1", - "display_name": "gpt-5.1", + "model_id": "gpt-5", + "display_name": "gpt-5", "input_per_1m": 1.25, "output_per_1m": 10.0, "cached_input_per_1m": 0.125, @@ -2340,31 +2340,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1134, - "provider": "google", - "model_id": "gemini-2.5-pro-preview-tts", - "display_name": "gemini-2.5-pro-preview-tts", - "input_per_1m": 1.25, - "output_per_1m": 10.0, - "cached_input_per_1m": 0.125, - "context_window": 1048576, - "max_output_tokens": 65535, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 148, + "id": 133, "provider": "openai", - "model_id": "gpt-5-2025-08-07", - "display_name": "gpt-5-2025-08-07", + "model_id": "gpt-5.1", + "display_name": "gpt-5.1", "input_per_1m": 1.25, "output_per_1m": 10.0, "cached_input_per_1m": 0.125, @@ -2376,31 +2358,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 149, + "id": 134, "provider": "openai", - "model_id": "gpt-5-chat", - "display_name": "gpt-5-chat", + "model_id": "gpt-5.1-2025-11-13", + "display_name": "gpt-5.1-2025-11-13", "input_per_1m": 1.25, "output_per_1m": 10.0, "cached_input_per_1m": 0.125, - "context_window": 128000, - "max_output_tokens": 16384, + "context_window": 272000, + "max_output_tokens": 128000, "modalities": "text,image", - "supports_tools": false, + "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 150, + "id": 135, "provider": "openai", - "model_id": "gpt-5-chat-latest", - "display_name": "gpt-5-chat-latest", + "model_id": "gpt-5.1-chat-latest", + "display_name": "gpt-5.1-chat-latest", "input_per_1m": 1.25, "output_per_1m": 10.0, "cached_input_per_1m": 0.125, @@ -2412,7 +2394,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1125, @@ -2430,49 +2412,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1126, - "provider": "google", - "model_id": "gemini-2.5-computer-use-preview-10-2025", - "display_name": "gemini-2.5-computer-use-preview-10-2025", - "input_per_1m": 1.25, - "output_per_1m": 10.0, - "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 64000, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 5, + "id": 150, "provider": "openai", - "model_id": "gpt-5", - "display_name": "gpt-5", + "model_id": "gpt-5-chat-latest", + "display_name": "gpt-5-chat-latest", "input_per_1m": 1.25, "output_per_1m": 10.0, "cached_input_per_1m": 0.125, - "context_window": 272000, - "max_output_tokens": 128000, + "context_window": 128000, + "max_output_tokens": 16384, "modalities": "text,image", - "supports_tools": true, + "supports_tools": false, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 134, + "id": 148, "provider": "openai", - "model_id": "gpt-5.1-2025-11-13", - "display_name": "gpt-5.1-2025-11-13", + "model_id": "gpt-5-2025-08-07", + "display_name": "gpt-5-2025-08-07", "input_per_1m": 1.25, "output_per_1m": 10.0, "cached_input_per_1m": 0.125, @@ -2484,25 +2448,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 135, - "provider": "openai", - "model_id": "gpt-5.1-chat-latest", - "display_name": "gpt-5.1-chat-latest", + "id": 1126, + "provider": "google", + "model_id": "gemini-2.5-computer-use-preview-10-2025", + "display_name": "gemini-2.5-computer-use-preview-10-2025", "input_per_1m": 1.25, "output_per_1m": 10.0, - "cached_input_per_1m": 0.125, + "cached_input_per_1m": null, "context_window": 128000, - "max_output_tokens": 16384, + "max_output_tokens": 64000, "modalities": "text,image", - "supports_tools": false, + "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1306, @@ -2520,25 +2484,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1307, - "provider": "xai", - "model_id": "grok-4.3-latest", - "display_name": "grok-4.3-latest", + "id": 265, + "provider": "openai", + "model_id": "gpt-5-search-api-2025-10-14", + "display_name": "gpt-5-search-api-2025-10-14", "input_per_1m": 1.25, - "output_per_1m": 2.5, - "cached_input_per_1m": 0.2, - "context_window": 1000000, - "max_output_tokens": 1000000, + "output_per_1m": 10.0, + "cached_input_per_1m": 0.125, + "context_window": 272000, + "max_output_tokens": 128000, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 264, @@ -2556,25 +2520,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 265, - "provider": "openai", - "model_id": "gpt-5-search-api-2025-10-14", - "display_name": "gpt-5-search-api-2025-10-14", + "id": 1134, + "provider": "google", + "model_id": "gemini-2.5-pro-preview-tts", + "display_name": "gemini-2.5-pro-preview-tts", "input_per_1m": 1.25, "output_per_1m": 10.0, "cached_input_per_1m": 0.125, - "context_window": 272000, - "max_output_tokens": 128000, + "context_window": 1048576, + "max_output_tokens": 65535, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 279, @@ -2592,67 +2556,67 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1131, - "provider": "google", - "model_id": "gemini-3.5-flash", - "display_name": "gemini-3.5-flash", - "input_per_1m": 1.5, - "output_per_1m": 9.0, - "cached_input_per_1m": 0.15, - "context_window": 1048576, - "max_output_tokens": 65535, - "modalities": "text,image,audio", - "supports_tools": true, + "id": 149, + "provider": "openai", + "model_id": "gpt-5-chat", + "display_name": "gpt-5-chat", + "input_per_1m": 1.25, + "output_per_1m": 10.0, + "cached_input_per_1m": 0.125, + "context_window": 128000, + "max_output_tokens": 16384, + "modalities": "text,image", + "supports_tools": false, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 136, - "provider": "openai", - "model_id": "gpt-5.2", - "display_name": "gpt-5.2", - "input_per_1m": 1.75, - "output_per_1m": 14.0, - "cached_input_per_1m": 0.175, - "context_window": 272000, - "max_output_tokens": 128000, + "id": 1307, + "provider": "xai", + "model_id": "grok-4.3-latest", + "display_name": "grok-4.3-latest", + "input_per_1m": 1.25, + "output_per_1m": 2.5, + "cached_input_per_1m": 0.2, + "context_window": 1000000, + "max_output_tokens": 1000000, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 137, - "provider": "openai", - "model_id": "gpt-5.2-2025-12-11", - "display_name": "gpt-5.2-2025-12-11", - "input_per_1m": 1.75, - "output_per_1m": 14.0, - "cached_input_per_1m": 0.175, - "context_window": 272000, - "max_output_tokens": 128000, - "modalities": "text,image", + "id": 1131, + "provider": "google", + "model_id": "gemini-3.5-flash", + "display_name": "gemini-3.5-flash", + "input_per_1m": 1.5, + "output_per_1m": 9.0, + "cached_input_per_1m": 0.15, + "context_window": 1048576, + "max_output_tokens": 65535, + "modalities": "text,image,audio", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 139, + "id": 138, "provider": "openai", - "model_id": "gpt-5.3-chat-latest", - "display_name": "gpt-5.3-chat-latest", + "model_id": "gpt-5.2-chat-latest", + "display_name": "gpt-5.2-chat-latest", "input_per_1m": 1.75, "output_per_1m": 14.0, "cached_input_per_1m": 0.175, @@ -2664,13 +2628,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 138, + "id": 139, "provider": "openai", - "model_id": "gpt-5.2-chat-latest", - "display_name": "gpt-5.2-chat-latest", + "model_id": "gpt-5.3-chat-latest", + "display_name": "gpt-5.3-chat-latest", "input_per_1m": 1.75, "output_per_1m": 14.0, "cached_input_per_1m": 0.175, @@ -2682,139 +2646,49 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 100, - "provider": "openai", - "model_id": "gpt-4.1", - "display_name": "gpt-4.1", - "input_per_1m": 2.0, - "output_per_1m": 8.0, - "cached_input_per_1m": 0.5, - "context_window": 1047576, - "max_output_tokens": 32768, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1303, - "provider": "xai", - "model_id": "grok-4.20-beta-0309-reasoning", - "display_name": "grok-4.20-beta-0309-reasoning", - "input_per_1m": 2.0, - "output_per_1m": 6.0, - "cached_input_per_1m": 0.2, - "context_window": 2000000, - "max_output_tokens": 2000000, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1133, - "provider": "google", - "model_id": "gemini-3.1-pro-preview-customtools", - "display_name": "gemini-3.1-pro-preview-customtools", - "input_per_1m": 2.0, - "output_per_1m": 12.0, - "cached_input_per_1m": 0.2, - "context_window": 1048576, - "max_output_tokens": 65536, - "modalities": "text,image,audio", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1132, - "provider": "google", - "model_id": "gemini-3.1-pro-preview", - "display_name": "gemini-3.1-pro-preview", - "input_per_1m": 2.0, - "output_per_1m": 12.0, - "cached_input_per_1m": 0.2, - "context_window": 1048576, - "max_output_tokens": 65536, - "modalities": "text,image,audio", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 221, - "provider": "openai", - "model_id": "o3-2025-04-16", - "display_name": "o3-2025-04-16", - "input_per_1m": 2.0, - "output_per_1m": 8.0, - "cached_input_per_1m": 0.5, - "context_window": 200000, - "max_output_tokens": 100000, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 220, + "id": 137, "provider": "openai", - "model_id": "o3", - "display_name": "o3", - "input_per_1m": 2.0, - "output_per_1m": 8.0, - "cached_input_per_1m": 0.5, - "context_window": 200000, - "max_output_tokens": 100000, + "model_id": "gpt-5.2-2025-12-11", + "display_name": "gpt-5.2-2025-12-11", + "input_per_1m": 1.75, + "output_per_1m": 14.0, + "cached_input_per_1m": 0.175, + "context_window": 272000, + "max_output_tokens": 128000, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 101, + "id": 136, "provider": "openai", - "model_id": "gpt-4.1-2025-04-14", - "display_name": "gpt-4.1-2025-04-14", - "input_per_1m": 2.0, - "output_per_1m": 8.0, - "cached_input_per_1m": 0.5, - "context_window": 1047576, - "max_output_tokens": 32768, + "model_id": "gpt-5.2", + "display_name": "gpt-5.2", + "input_per_1m": 1.75, + "output_per_1m": 14.0, + "cached_input_per_1m": 0.175, + "context_window": 272000, + "max_output_tokens": 128000, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1235, + "id": 1233, "provider": "mistral", - "model_id": "magistral-medium-latest", - "display_name": "magistral-medium-latest", + "model_id": "magistral-medium-2509", + "display_name": "magistral-medium-2509", "input_per_1m": 2.0, "output_per_1m": 5.0, "cached_input_per_1m": null, @@ -2826,13 +2700,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1234, + "id": 1232, "provider": "mistral", - "model_id": "magistral-medium-1-2-2509", - "display_name": "magistral-medium-1-2-2509", + "model_id": "magistral-medium-2506", + "display_name": "magistral-medium-2506", "input_per_1m": 2.0, "output_per_1m": 5.0, "cached_input_per_1m": null, @@ -2844,13 +2718,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1233, + "id": 1234, "provider": "mistral", - "model_id": "magistral-medium-2509", - "display_name": "magistral-medium-2509", + "model_id": "magistral-medium-1-2-2509", + "display_name": "magistral-medium-1-2-2509", "input_per_1m": 2.0, "output_per_1m": 5.0, "cached_input_per_1m": null, @@ -2862,31 +2736,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1304, - "provider": "xai", - "model_id": "grok-4.20-0309-reasoning", - "display_name": "grok-4.20-0309-reasoning", - "input_per_1m": 2.0, - "output_per_1m": 6.0, - "cached_input_per_1m": 0.2, - "context_window": 2000000, - "max_output_tokens": 2000000, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1232, + "id": 1235, "provider": "mistral", - "model_id": "magistral-medium-2506", - "display_name": "magistral-medium-2506", + "model_id": "magistral-medium-latest", + "display_name": "magistral-medium-latest", "input_per_1m": 2.0, "output_per_1m": 5.0, "cached_input_per_1m": null, @@ -2898,85 +2754,85 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1262, - "provider": "mistral", - "model_id": "open-mixtral-8x22b", - "display_name": "open-mixtral-8x22b", - "input_per_1m": 2.0, - "output_per_1m": 6.0, - "cached_input_per_1m": null, - "context_window": 65336, - "max_output_tokens": 8191, - "modalities": "text", - "supports_tools": true, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1265, + "id": 1241, "provider": "mistral", - "model_id": "pixtral-large-2411", - "display_name": "pixtral-large-2411", + "model_id": "mistral-large-2411", + "display_name": "mistral-large-2411", "input_per_1m": 2.0, "output_per_1m": 6.0, "cached_input_per_1m": null, "context_window": 128000, "max_output_tokens": 128000, - "modalities": "text,image", + "modalities": "text", "supports_tools": true, - "supports_vision": true, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1305, - "provider": "xai", - "model_id": "grok-4.20-beta-0309-non-reasoning", - "display_name": "grok-4.20-beta-0309-non-reasoning", + "id": 1132, + "provider": "google", + "model_id": "gemini-3.1-pro-preview", + "display_name": "gemini-3.1-pro-preview", "input_per_1m": 2.0, - "output_per_1m": 6.0, + "output_per_1m": 12.0, "cached_input_per_1m": 0.2, - "context_window": 2000000, - "max_output_tokens": 2000000, - "modalities": "text,image", + "context_window": 1048576, + "max_output_tokens": 65536, + "modalities": "text,image,audio", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1127, + "id": 1133, "provider": "google", - "model_id": "gemini-3-pro-preview", - "display_name": "gemini-3-pro-preview", + "model_id": "gemini-3.1-pro-preview-customtools", + "display_name": "gemini-3.1-pro-preview-customtools", "input_per_1m": 2.0, "output_per_1m": 12.0, "cached_input_per_1m": 0.2, "context_window": 1048576, - "max_output_tokens": 65535, + "max_output_tokens": 65536, "modalities": "text,image,audio", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1277, + "id": 1266, + "provider": "mistral", + "model_id": "pixtral-large-latest", + "display_name": "pixtral-large-latest", + "input_per_1m": 2.0, + "output_per_1m": 6.0, + "cached_input_per_1m": null, + "context_window": 128000, + "max_output_tokens": 128000, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1275, "provider": "xai", - "model_id": "grok-2-latest", - "display_name": "grok-2-latest", + "model_id": "grok-2", + "display_name": "grok-2", "input_per_1m": 2.0, "output_per_1m": 10.0, "cached_input_per_1m": null, @@ -2988,17 +2844,71 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1278, + "id": 1276, "provider": "xai", - "model_id": "grok-2-vision", - "display_name": "grok-2-vision", + "model_id": "grok-2-1212", + "display_name": "grok-2-1212", "input_per_1m": 2.0, "output_per_1m": 10.0, "cached_input_per_1m": null, - "context_window": 32768, + "context_window": 131072, + "max_output_tokens": 131072, + "modalities": "text", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1303, + "provider": "xai", + "model_id": "grok-4.20-beta-0309-reasoning", + "display_name": "grok-4.20-beta-0309-reasoning", + "input_per_1m": 2.0, + "output_per_1m": 6.0, + "cached_input_per_1m": 0.2, + "context_window": 2000000, + "max_output_tokens": 2000000, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1127, + "provider": "google", + "model_id": "gemini-3-pro-preview", + "display_name": "gemini-3-pro-preview", + "input_per_1m": 2.0, + "output_per_1m": 12.0, + "cached_input_per_1m": 0.2, + "context_window": 1048576, + "max_output_tokens": 65535, + "modalities": "text,image,audio", + "supports_tools": true, + "supports_vision": true, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 100, + "provider": "openai", + "model_id": "gpt-4.1", + "display_name": "gpt-4.1", + "input_per_1m": 2.0, + "output_per_1m": 8.0, + "cached_input_per_1m": 0.5, + "context_window": 1047576, "max_output_tokens": 32768, "modalities": "text,image", "supports_tools": true, @@ -3006,17 +2916,17 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1279, - "provider": "xai", - "model_id": "grok-2-vision-1212", - "display_name": "grok-2-vision-1212", + "id": 101, + "provider": "openai", + "model_id": "gpt-4.1-2025-04-14", + "display_name": "gpt-4.1-2025-04-14", "input_per_1m": 2.0, - "output_per_1m": 10.0, - "cached_input_per_1m": null, - "context_window": 32768, + "output_per_1m": 8.0, + "cached_input_per_1m": 0.5, + "context_window": 1047576, "max_output_tokens": 32768, "modalities": "text,image", "supports_tools": true, @@ -3024,67 +2934,85 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1280, + "id": 1304, "provider": "xai", - "model_id": "grok-2-vision-latest", - "display_name": "grok-2-vision-latest", + "model_id": "grok-4.20-0309-reasoning", + "display_name": "grok-4.20-0309-reasoning", "input_per_1m": 2.0, - "output_per_1m": 10.0, - "cached_input_per_1m": null, - "context_window": 32768, - "max_output_tokens": 32768, + "output_per_1m": 6.0, + "cached_input_per_1m": 0.2, + "context_window": 2000000, + "max_output_tokens": 2000000, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1266, + "id": 1262, "provider": "mistral", - "model_id": "pixtral-large-latest", - "display_name": "pixtral-large-latest", + "model_id": "open-mixtral-8x22b", + "display_name": "open-mixtral-8x22b", "input_per_1m": 2.0, "output_per_1m": 6.0, "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 128000, - "modalities": "text,image", + "context_window": 65336, + "max_output_tokens": 8191, + "modalities": "text", "supports_tools": true, - "supports_vision": true, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1241, + "id": 1265, "provider": "mistral", - "model_id": "mistral-large-2411", - "display_name": "mistral-large-2411", + "model_id": "pixtral-large-2411", + "display_name": "pixtral-large-2411", "input_per_1m": 2.0, "output_per_1m": 6.0, "cached_input_per_1m": null, "context_window": 128000, "max_output_tokens": 128000, - "modalities": "text", + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1275, + "id": 1305, "provider": "xai", - "model_id": "grok-2", - "display_name": "grok-2", + "model_id": "grok-4.20-beta-0309-non-reasoning", + "display_name": "grok-4.20-beta-0309-non-reasoning", + "input_per_1m": 2.0, + "output_per_1m": 6.0, + "cached_input_per_1m": 0.2, + "context_window": 2000000, + "max_output_tokens": 2000000, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1277, + "provider": "xai", + "model_id": "grok-2-latest", + "display_name": "grok-2-latest", "input_per_1m": 2.0, "output_per_1m": 10.0, "cached_input_per_1m": null, @@ -3096,25 +3024,61 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1276, + "id": 1278, "provider": "xai", - "model_id": "grok-2-1212", - "display_name": "grok-2-1212", + "model_id": "grok-2-vision", + "display_name": "grok-2-vision", "input_per_1m": 2.0, "output_per_1m": 10.0, "cached_input_per_1m": null, - "context_window": 131072, - "max_output_tokens": 131072, - "modalities": "text", + "context_window": 32768, + "max_output_tokens": 32768, + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1279, + "provider": "xai", + "model_id": "grok-2-vision-1212", + "display_name": "grok-2-vision-1212", + "input_per_1m": 2.0, + "output_per_1m": 10.0, + "cached_input_per_1m": null, + "context_window": 32768, + "max_output_tokens": 32768, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1280, + "provider": "xai", + "model_id": "grok-2-vision-latest", + "display_name": "grok-2-vision-latest", + "input_per_1m": 2.0, + "output_per_1m": 10.0, + "cached_input_per_1m": null, + "context_window": 32768, + "max_output_tokens": 32768, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1302, @@ -3132,79 +3096,79 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 115, + "id": 220, "provider": "openai", - "model_id": "gpt-audio-2025-08-28", - "display_name": "gpt-audio-2025-08-28", - "input_per_1m": 2.5, - "output_per_1m": 10.0, - "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 16384, - "modalities": "text,audio", + "model_id": "o3", + "display_name": "o3", + "input_per_1m": 2.0, + "output_per_1m": 8.0, + "cached_input_per_1m": 0.5, + "context_window": 200000, + "max_output_tokens": 100000, + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 6, + "id": 221, "provider": "openai", - "model_id": "gpt-4o", - "display_name": "gpt-4o", - "input_per_1m": 2.5, - "output_per_1m": 10.0, - "cached_input_per_1m": 1.25, - "context_window": 128000, - "max_output_tokens": 16384, + "model_id": "o3-2025-04-16", + "display_name": "o3-2025-04-16", + "input_per_1m": 2.0, + "output_per_1m": 8.0, + "cached_input_per_1m": 0.5, + "context_window": 200000, + "max_output_tokens": 100000, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 113, + "id": 6, "provider": "openai", - "model_id": "gpt-audio", - "display_name": "gpt-audio", + "model_id": "gpt-4o", + "display_name": "gpt-4o", "input_per_1m": 2.5, "output_per_1m": 10.0, - "cached_input_per_1m": null, + "cached_input_per_1m": 1.25, "context_window": 128000, "max_output_tokens": 16384, - "modalities": "text,audio", + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 112, + "id": 130, "provider": "openai", - "model_id": "gpt-4o-audio-preview-2025-06-03", - "display_name": "gpt-4o-audio-preview-2025-06-03", + "model_id": "gpt-4o-search-preview", + "display_name": "gpt-4o-search-preview", "input_per_1m": 2.5, "output_per_1m": 10.0, - "cached_input_per_1m": null, + "cached_input_per_1m": 1.25, "context_window": 128000, "max_output_tokens": 16384, - "modalities": "text,audio", + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 2, @@ -3222,25 +3186,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 108, - "provider": "openai", - "model_id": "gpt-4o-2024-08-06", - "display_name": "gpt-4o-2024-08-06", - "input_per_1m": 2.5, - "output_per_1m": 10.0, - "cached_input_per_1m": 1.25, - "context_window": 128000, - "max_output_tokens": 16384, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 114, @@ -3258,31 +3204,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 111, + "id": 131, "provider": "openai", - "model_id": "gpt-4o-audio-preview-2024-12-17", - "display_name": "gpt-4o-audio-preview-2024-12-17", + "model_id": "gpt-4o-search-preview-2025-03-11", + "display_name": "gpt-4o-search-preview-2025-03-11", "input_per_1m": 2.5, "output_per_1m": 10.0, - "cached_input_per_1m": null, + "cached_input_per_1m": 1.25, "context_window": 128000, "max_output_tokens": 16384, - "modalities": "text,audio", + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 130, + "id": 108, "provider": "openai", - "model_id": "gpt-4o-search-preview", - "display_name": "gpt-4o-search-preview", + "model_id": "gpt-4o-2024-08-06", + "display_name": "gpt-4o-2024-08-06", "input_per_1m": 2.5, "output_per_1m": 10.0, "cached_input_per_1m": 1.25, @@ -3294,7 +3240,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 109, @@ -3312,7 +3258,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 115, + "provider": "openai", + "model_id": "gpt-audio-2025-08-28", + "display_name": "gpt-audio-2025-08-28", + "input_per_1m": 2.5, + "output_per_1m": 10.0, + "cached_input_per_1m": null, + "context_window": 128000, + "max_output_tokens": 16384, + "modalities": "text,audio", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 143, @@ -3330,31 +3294,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 131, + "id": 110, "provider": "openai", - "model_id": "gpt-4o-search-preview-2025-03-11", - "display_name": "gpt-4o-search-preview-2025-03-11", + "model_id": "gpt-4o-audio-preview", + "display_name": "gpt-4o-audio-preview", "input_per_1m": 2.5, "output_per_1m": 10.0, - "cached_input_per_1m": 1.25, + "cached_input_per_1m": null, "context_window": 128000, "max_output_tokens": 16384, - "modalities": "text,image", + "modalities": "text,audio", "supports_tools": true, - "supports_vision": true, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 110, + "id": 111, "provider": "openai", - "model_id": "gpt-4o-audio-preview", - "display_name": "gpt-4o-audio-preview", + "model_id": "gpt-4o-audio-preview-2024-12-17", + "display_name": "gpt-4o-audio-preview-2024-12-17", "input_per_1m": 2.5, "output_per_1m": 10.0, "cached_input_per_1m": null, @@ -3366,13 +3330,49 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1246, + "id": 112, + "provider": "openai", + "model_id": "gpt-4o-audio-preview-2025-06-03", + "display_name": "gpt-4o-audio-preview-2025-06-03", + "input_per_1m": 2.5, + "output_per_1m": 10.0, + "cached_input_per_1m": null, + "context_window": 128000, + "max_output_tokens": 16384, + "modalities": "text,audio", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 113, + "provider": "openai", + "model_id": "gpt-audio", + "display_name": "gpt-audio", + "input_per_1m": 2.5, + "output_per_1m": 10.0, + "cached_input_per_1m": null, + "context_window": 128000, + "max_output_tokens": 16384, + "modalities": "text,audio", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1245, "provider": "mistral", - "model_id": "mistral-medium-2312", - "display_name": "mistral-medium-2312", + "model_id": "mistral-medium", + "display_name": "mistral-medium", "input_per_1m": 2.7, "output_per_1m": 8.1, "cached_input_per_1m": null, @@ -3384,13 +3384,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1245, + "id": 1246, "provider": "mistral", - "model_id": "mistral-medium", - "display_name": "mistral-medium", + "model_id": "mistral-medium-2312", + "display_name": "mistral-medium-2312", "input_per_1m": 2.7, "output_per_1m": 8.1, "cached_input_per_1m": null, @@ -3402,13 +3402,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 38, + "id": 1240, + "provider": "mistral", + "model_id": "mistral-large-2407", + "display_name": "mistral-large-2407", + "input_per_1m": 3.0, + "output_per_1m": 9.0, + "cached_input_per_1m": null, + "context_window": 128000, + "max_output_tokens": 128000, + "modalities": "text", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 8, "provider": "anthropic", - "model_id": "claude-sonnet-4-20250514", - "display_name": "claude-sonnet-4-20250514", + "model_id": "claude-sonnet-4-6", + "display_name": "claude-sonnet-4-6", "input_per_1m": 3.0, "output_per_1m": 15.0, "cached_input_per_1m": 0.3, @@ -3420,7 +3438,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 26, @@ -3438,17 +3456,17 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 24, + "id": 25, "provider": "anthropic", - "model_id": "claude-4-sonnet-20250514", - "display_name": "claude-4-sonnet-20250514", + "model_id": "claude-sonnet-4-5", + "display_name": "claude-sonnet-4-5", "input_per_1m": 3.0, "output_per_1m": 15.0, "cached_input_per_1m": 0.3, - "context_window": 1000000, + "context_window": 200000, "max_output_tokens": 64000, "modalities": "text,image", "supports_tools": true, @@ -3456,43 +3474,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 50, - "provider": "openai", - "model_id": "ft:gpt-3.5-turbo-1106", - "display_name": "ft:gpt-3.5-turbo-1106", - "input_per_1m": 3.0, - "output_per_1m": 6.0, - "cached_input_per_1m": null, - "context_window": 16385, - "max_output_tokens": 4096, - "modalities": "text", - "supports_tools": false, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1292, - "provider": "xai", - "model_id": "grok-4", - "display_name": "grok-4", + "id": 24, + "provider": "anthropic", + "model_id": "claude-4-sonnet-20250514", + "display_name": "claude-4-sonnet-20250514", "input_per_1m": 3.0, "output_per_1m": 15.0, - "cached_input_per_1m": null, - "context_window": 256000, - "max_output_tokens": 256000, - "modalities": "text", + "cached_input_per_1m": 0.3, + "context_window": 1000000, + "max_output_tokens": 64000, + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1281, @@ -3510,7 +3510,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1282, @@ -3528,79 +3528,61 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 91, - "provider": "openai", - "model_id": "gpt-3.5-turbo-16k", - "display_name": "gpt-3.5-turbo-16k", - "input_per_1m": 3.0, - "output_per_1m": 4.0, - "cached_input_per_1m": null, - "context_window": 16385, - "max_output_tokens": 4096, - "modalities": "text", - "supports_tools": false, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 8, - "provider": "anthropic", - "model_id": "claude-sonnet-4-6", - "display_name": "claude-sonnet-4-6", + "id": 1285, + "provider": "xai", + "model_id": "grok-3-latest", + "display_name": "grok-3-latest", "input_per_1m": 3.0, "output_per_1m": 15.0, - "cached_input_per_1m": 0.3, - "context_window": 1000000, - "max_output_tokens": 64000, - "modalities": "text,image", + "cached_input_per_1m": 0.75, + "context_window": 131072, + "max_output_tokens": 131072, + "modalities": "text", "supports_tools": true, - "supports_vision": true, + "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 47, + "id": 55, "provider": "openai", - "model_id": "ft:gpt-3.5-turbo", - "display_name": "ft:gpt-3.5-turbo", + "model_id": "ft:gpt-4.1-2025-04-14", + "display_name": "ft:gpt-4.1-2025-04-14", "input_per_1m": 3.0, - "output_per_1m": 6.0, - "cached_input_per_1m": null, - "context_window": 16385, - "max_output_tokens": 4096, + "output_per_1m": 12.0, + "cached_input_per_1m": 0.75, + "context_window": 1047576, + "max_output_tokens": 32768, "modalities": "text", - "supports_tools": false, + "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 48, - "provider": "openai", - "model_id": "ft:gpt-3.5-turbo-0125", - "display_name": "ft:gpt-3.5-turbo-0125", + "id": 1292, + "provider": "xai", + "model_id": "grok-4", + "display_name": "grok-4", "input_per_1m": 3.0, - "output_per_1m": 6.0, + "output_per_1m": 15.0, "cached_input_per_1m": null, - "context_window": 16385, - "max_output_tokens": 4096, + "context_window": 256000, + "max_output_tokens": 256000, "modalities": "text", - "supports_tools": false, + "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1295, @@ -3618,7 +3600,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 1296, @@ -3636,17 +3618,17 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 49, + "id": 50, "provider": "openai", - "model_id": "ft:gpt-3.5-turbo-0613", - "display_name": "ft:gpt-3.5-turbo-0613", + "model_id": "ft:gpt-3.5-turbo-1106", + "display_name": "ft:gpt-3.5-turbo-1106", "input_per_1m": 3.0, "output_per_1m": 6.0, "cached_input_per_1m": null, - "context_window": 4096, + "context_window": 16385, "max_output_tokens": 4096, "modalities": "text", "supports_tools": false, @@ -3654,71 +3636,71 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1285, - "provider": "xai", - "model_id": "grok-3-latest", - "display_name": "grok-3-latest", + "id": 49, + "provider": "openai", + "model_id": "ft:gpt-3.5-turbo-0613", + "display_name": "ft:gpt-3.5-turbo-0613", "input_per_1m": 3.0, - "output_per_1m": 15.0, - "cached_input_per_1m": 0.75, - "context_window": 131072, - "max_output_tokens": 131072, + "output_per_1m": 6.0, + "cached_input_per_1m": null, + "context_window": 4096, + "max_output_tokens": 4096, "modalities": "text", - "supports_tools": true, + "supports_tools": false, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 55, + "id": 48, "provider": "openai", - "model_id": "ft:gpt-4.1-2025-04-14", - "display_name": "ft:gpt-4.1-2025-04-14", + "model_id": "ft:gpt-3.5-turbo-0125", + "display_name": "ft:gpt-3.5-turbo-0125", "input_per_1m": 3.0, - "output_per_1m": 12.0, - "cached_input_per_1m": 0.75, - "context_window": 1047576, - "max_output_tokens": 32768, + "output_per_1m": 6.0, + "cached_input_per_1m": null, + "context_window": 16385, + "max_output_tokens": 4096, "modalities": "text", - "supports_tools": true, + "supports_tools": false, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1240, - "provider": "mistral", - "model_id": "mistral-large-2407", - "display_name": "mistral-large-2407", + "id": 47, + "provider": "openai", + "model_id": "ft:gpt-3.5-turbo", + "display_name": "ft:gpt-3.5-turbo", "input_per_1m": 3.0, - "output_per_1m": 9.0, + "output_per_1m": 6.0, "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 128000, + "context_window": 16385, + "max_output_tokens": 4096, "modalities": "text", - "supports_tools": true, + "supports_tools": false, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 20, + "id": 38, "provider": "anthropic", - "model_id": "claude-3-7-sonnet-20250219", - "display_name": "claude-3-7-sonnet-20250219", + "model_id": "claude-sonnet-4-20250514", + "display_name": "claude-sonnet-4-20250514", "input_per_1m": 3.0, "output_per_1m": 15.0, "cached_input_per_1m": 0.3, - "context_window": 200000, + "context_window": 1000000, "max_output_tokens": 64000, "modalities": "text,image", "supports_tools": true, @@ -3726,13 +3708,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 25, + "id": 20, "provider": "anthropic", - "model_id": "claude-sonnet-4-5", - "display_name": "claude-sonnet-4-5", + "model_id": "claude-3-7-sonnet-20250219", + "display_name": "claude-3-7-sonnet-20250219", "input_per_1m": 3.0, "output_per_1m": 15.0, "cached_input_per_1m": 0.3, @@ -3744,7 +3726,43 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 91, + "provider": "openai", + "model_id": "gpt-3.5-turbo-16k", + "display_name": "gpt-3.5-turbo-16k", + "input_per_1m": 3.0, + "output_per_1m": 4.0, + "cached_input_per_1m": null, + "context_window": 16385, + "max_output_tokens": 4096, + "modalities": "text", + "supports_tools": false, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 53, + "provider": "openai", + "model_id": "ft:gpt-4o-2024-11-20", + "display_name": "ft:gpt-4o-2024-11-20", + "input_per_1m": 3.75, + "output_per_1m": 15.0, + "cached_input_per_1m": null, + "context_window": 128000, + "max_output_tokens": 16384, + "modalities": "text", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 52, @@ -3762,31 +3780,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 53, + "id": 58, "provider": "openai", - "model_id": "ft:gpt-4o-2024-11-20", - "display_name": "ft:gpt-4o-2024-11-20", - "input_per_1m": 3.75, - "output_per_1m": 15.0, - "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 16384, + "model_id": "ft:o4-mini-2025-04-16", + "display_name": "ft:o4-mini-2025-04-16", + "input_per_1m": 4.0, + "output_per_1m": 16.0, + "cached_input_per_1m": 1.0, + "context_window": 200000, + "max_output_tokens": 100000, "modalities": "text", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 155, + "id": 157, "provider": "openai", - "model_id": "gpt-realtime", - "display_name": "gpt-realtime", + "model_id": "gpt-realtime-2", + "display_name": "gpt-realtime-2", "input_per_1m": 4.0, "output_per_1m": 16.0, "cached_input_per_1m": 0.4, @@ -3798,13 +3816,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 157, + "id": 159, "provider": "openai", - "model_id": "gpt-realtime-2", - "display_name": "gpt-realtime-2", + "model_id": "gpt-realtime-2025-08-28", + "display_name": "gpt-realtime-2025-08-28", "input_per_1m": 4.0, "output_per_1m": 16.0, "cached_input_per_1m": 0.4, @@ -3816,31 +3834,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1239, - "provider": "mistral", - "model_id": "mistral-large-2402", - "display_name": "mistral-large-2402", + "id": 156, + "provider": "openai", + "model_id": "gpt-realtime-1.5", + "display_name": "gpt-realtime-1.5", "input_per_1m": 4.0, - "output_per_1m": 12.0, - "cached_input_per_1m": null, + "output_per_1m": 16.0, + "cached_input_per_1m": 0.4, "context_window": 32000, - "max_output_tokens": 8191, - "modalities": "text", + "max_output_tokens": 4096, + "modalities": "text,audio", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 159, + "id": 155, "provider": "openai", - "model_id": "gpt-realtime-2025-08-28", - "display_name": "gpt-realtime-2025-08-28", + "model_id": "gpt-realtime", + "display_name": "gpt-realtime", "input_per_1m": 4.0, "output_per_1m": 16.0, "cached_input_per_1m": 0.4, @@ -3852,43 +3870,43 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 58, - "provider": "openai", - "model_id": "ft:o4-mini-2025-04-16", - "display_name": "ft:o4-mini-2025-04-16", + "id": 1239, + "provider": "mistral", + "model_id": "mistral-large-2402", + "display_name": "mistral-large-2402", "input_per_1m": 4.0, - "output_per_1m": 16.0, - "cached_input_per_1m": 1.0, - "context_window": 200000, - "max_output_tokens": 100000, + "output_per_1m": 12.0, + "cached_input_per_1m": null, + "context_window": 32000, + "max_output_tokens": 8191, "modalities": "text", "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 156, - "provider": "openai", - "model_id": "gpt-realtime-1.5", - "display_name": "gpt-realtime-1.5", - "input_per_1m": 4.0, - "output_per_1m": 16.0, - "cached_input_per_1m": 0.4, - "context_window": 32000, - "max_output_tokens": 4096, - "modalities": "text,audio", + "id": 32, + "provider": "anthropic", + "model_id": "claude-opus-4-5", + "display_name": "claude-opus-4-5", + "input_per_1m": 5.0, + "output_per_1m": 25.0, + "cached_input_per_1m": 0.5, + "context_window": 200000, + "max_output_tokens": 64000, + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 31, @@ -3906,25 +3924,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 107, - "provider": "openai", - "model_id": "gpt-4o-2024-05-13", - "display_name": "gpt-4o-2024-05-13", + "id": 1312, + "provider": "xai", + "model_id": "grok-vision-beta", + "display_name": "grok-vision-beta", "input_per_1m": 5.0, "output_per_1m": 15.0, "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 4096, + "context_window": 8192, + "max_output_tokens": 8192, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 17, @@ -3942,89 +3960,17 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 127, - "provider": "openai", - "model_id": "gpt-4o-realtime-preview", - "display_name": "gpt-4o-realtime-preview", - "input_per_1m": 5.0, - "output_per_1m": 20.0, - "cached_input_per_1m": 2.5, - "context_window": 128000, - "max_output_tokens": 4096, - "modalities": "text,audio", - "supports_tools": true, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1308, - "provider": "xai", - "model_id": "grok-beta", - "display_name": "grok-beta", - "input_per_1m": 5.0, - "output_per_1m": 15.0, - "cached_input_per_1m": null, - "context_window": 131072, - "max_output_tokens": 131072, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 1283, - "provider": "xai", - "model_id": "grok-3-fast-beta", - "display_name": "grok-3-fast-beta", - "input_per_1m": 5.0, - "output_per_1m": 25.0, - "cached_input_per_1m": 1.25, - "context_window": 131072, - "max_output_tokens": 131072, - "modalities": "text", - "supports_tools": true, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1284, - "provider": "xai", - "model_id": "grok-3-fast-latest", - "display_name": "grok-3-fast-latest", + "id": 33, + "provider": "anthropic", + "model_id": "claude-opus-4-6", + "display_name": "claude-opus-4-6", "input_per_1m": 5.0, "output_per_1m": 25.0, - "cached_input_per_1m": 1.25, - "context_window": 131072, - "max_output_tokens": 131072, - "modalities": "text", - "supports_tools": true, - "supports_vision": false, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 141, - "provider": "openai", - "model_id": "gpt-5.5-2026-04-23", - "display_name": "gpt-5.5-2026-04-23", - "input_per_1m": 5.0, - "output_per_1m": 30.0, "cached_input_per_1m": 0.5, - "context_window": 1050000, + "context_window": 1000000, "max_output_tokens": 128000, "modalities": "text,image", "supports_tools": true, @@ -4032,17 +3978,17 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1, - "provider": "openai", - "model_id": "gpt-5.5", - "display_name": "gpt-5.5", + "id": 7, + "provider": "anthropic", + "model_id": "claude-opus-4-7", + "display_name": "claude-opus-4-7", "input_per_1m": 5.0, - "output_per_1m": 30.0, + "output_per_1m": 25.0, "cached_input_per_1m": 0.5, - "context_window": 1050000, + "context_window": 1000000, "max_output_tokens": 128000, "modalities": "text,image", "supports_tools": true, @@ -4050,25 +3996,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 1312, - "provider": "xai", - "model_id": "grok-vision-beta", - "display_name": "grok-vision-beta", + "id": 107, + "provider": "openai", + "model_id": "gpt-4o-2024-05-13", + "display_name": "gpt-4o-2024-05-13", "input_per_1m": 5.0, "output_per_1m": 15.0, "cached_input_per_1m": null, - "context_window": 8192, - "max_output_tokens": 8192, + "context_window": 128000, + "max_output_tokens": 4096, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 36, @@ -4086,7 +4032,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 37, @@ -4104,7 +4050,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 128, @@ -4122,7 +4068,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 129, @@ -4140,7 +4086,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 34, @@ -4158,17 +4104,35 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 7, - "provider": "anthropic", - "model_id": "claude-opus-4-7", - "display_name": "claude-opus-4-7", + "id": 1284, + "provider": "xai", + "model_id": "grok-3-fast-latest", + "display_name": "grok-3-fast-latest", "input_per_1m": 5.0, "output_per_1m": 25.0, + "cached_input_per_1m": 1.25, + "context_window": 131072, + "max_output_tokens": 131072, + "modalities": "text", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1, + "provider": "openai", + "model_id": "gpt-5.5", + "display_name": "gpt-5.5", + "input_per_1m": 5.0, + "output_per_1m": 30.0, "cached_input_per_1m": 0.5, - "context_window": 1000000, + "context_window": 1050000, "max_output_tokens": 128000, "modalities": "text,image", "supports_tools": true, @@ -4176,61 +4140,97 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 33, - "provider": "anthropic", - "model_id": "claude-opus-4-6", - "display_name": "claude-opus-4-6", + "id": 1283, + "provider": "xai", + "model_id": "grok-3-fast-beta", + "display_name": "grok-3-fast-beta", "input_per_1m": 5.0, "output_per_1m": 25.0, - "cached_input_per_1m": 0.5, - "context_window": 1000000, - "max_output_tokens": 128000, + "cached_input_per_1m": 1.25, + "context_window": 131072, + "max_output_tokens": 131072, + "modalities": "text", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 127, + "provider": "openai", + "model_id": "gpt-4o-realtime-preview", + "display_name": "gpt-4o-realtime-preview", + "input_per_1m": 5.0, + "output_per_1m": 20.0, + "cached_input_per_1m": 2.5, + "context_window": 128000, + "max_output_tokens": 4096, + "modalities": "text,audio", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 1308, + "provider": "xai", + "model_id": "grok-beta", + "display_name": "grok-beta", + "input_per_1m": 5.0, + "output_per_1m": 15.0, + "cached_input_per_1m": null, + "context_window": 131072, + "max_output_tokens": 131072, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 32, - "provider": "anthropic", - "model_id": "claude-opus-4-5", - "display_name": "claude-opus-4-5", + "id": 141, + "provider": "openai", + "model_id": "gpt-5.5-2026-04-23", + "display_name": "gpt-5.5-2026-04-23", "input_per_1m": 5.0, - "output_per_1m": 25.0, + "output_per_1m": 30.0, "cached_input_per_1m": 0.5, - "context_window": 200000, - "max_output_tokens": 64000, + "context_window": 1050000, + "max_output_tokens": 128000, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 96, + "id": 98, "provider": "openai", - "model_id": "gpt-4-1106-preview", - "display_name": "gpt-4-1106-preview", + "model_id": "gpt-4-turbo-2024-04-09", + "display_name": "gpt-4-turbo-2024-04-09", "input_per_1m": 10.0, "output_per_1m": 30.0, "cached_input_per_1m": null, "context_window": 128000, "max_output_tokens": 4096, - "modalities": "text", + "modalities": "text,image", "supports_tools": true, - "supports_vision": false, + "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 99, @@ -4248,7 +4248,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 93, @@ -4266,13 +4266,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 98, + "id": 97, "provider": "openai", - "model_id": "gpt-4-turbo-2024-04-09", - "display_name": "gpt-4-turbo-2024-04-09", + "model_id": "gpt-4-turbo", + "display_name": "gpt-4-turbo", "input_per_1m": 10.0, "output_per_1m": 30.0, "cached_input_per_1m": null, @@ -4284,31 +4284,67 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 96, + "provider": "openai", + "model_id": "gpt-4-1106-preview", + "display_name": "gpt-4-1106-preview", + "input_per_1m": 10.0, + "output_per_1m": 30.0, + "cached_input_per_1m": null, + "context_window": 128000, + "max_output_tokens": 4096, + "modalities": "text", + "supports_tools": true, + "supports_vision": false, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" + }, + { + "id": 22, + "provider": "anthropic", + "model_id": "claude-3-opus-20240229", + "display_name": "claude-3-opus-20240229", + "input_per_1m": 15.0, + "output_per_1m": 75.0, + "cached_input_per_1m": 1.5, + "context_window": 200000, + "max_output_tokens": 4096, + "modalities": "text,image", + "supports_tools": true, + "supports_vision": true, + "knowledge_cutoff": null, + "status": "ga", + "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 97, - "provider": "openai", - "model_id": "gpt-4-turbo", - "display_name": "gpt-4-turbo", - "input_per_1m": 10.0, - "output_per_1m": 30.0, - "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 4096, + "id": 28, + "provider": "anthropic", + "model_id": "claude-opus-4-1", + "display_name": "claude-opus-4-1", + "input_per_1m": 15.0, + "output_per_1m": 75.0, + "cached_input_per_1m": 1.5, + "context_window": 200000, + "max_output_tokens": 32000, "modalities": "text,image", "supports_tools": true, "supports_vision": true, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 30, + "id": 29, "provider": "anthropic", - "model_id": "claude-opus-4-20250514", - "display_name": "claude-opus-4-20250514", + "model_id": "claude-opus-4-1-20250805", + "display_name": "claude-opus-4-1-20250805", "input_per_1m": 15.0, "output_per_1m": 75.0, "cached_input_per_1m": 1.5, @@ -4320,7 +4356,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 218, @@ -4338,7 +4374,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 219, @@ -4356,13 +4392,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 28, + "id": 30, "provider": "anthropic", - "model_id": "claude-opus-4-1", - "display_name": "claude-opus-4-1", + "model_id": "claude-opus-4-20250514", + "display_name": "claude-opus-4-20250514", "input_per_1m": 15.0, "output_per_1m": 75.0, "cached_input_per_1m": 1.5, @@ -4374,25 +4410,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 22, - "provider": "anthropic", - "model_id": "claude-3-opus-20240229", - "display_name": "claude-3-opus-20240229", - "input_per_1m": 15.0, - "output_per_1m": 75.0, - "cached_input_per_1m": 1.5, - "context_window": 200000, - "max_output_tokens": 4096, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { "id": 23, @@ -4410,31 +4428,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" - }, - { - "id": 29, - "provider": "anthropic", - "model_id": "claude-opus-4-1-20250805", - "display_name": "claude-opus-4-1-20250805", - "input_per_1m": 15.0, - "output_per_1m": 75.0, - "cached_input_per_1m": 1.5, - "context_window": 200000, - "max_output_tokens": 32000, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, - "knowledge_cutoff": null, - "status": "ga", - "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 92, + "id": 51, "provider": "openai", - "model_id": "gpt-4", - "display_name": "gpt-4", + "model_id": "ft:gpt-4-0613", + "display_name": "ft:gpt-4-0613", "input_per_1m": 30.0, "output_per_1m": 60.0, "cached_input_per_1m": null, @@ -4446,49 +4446,49 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 94, + "id": 95, "provider": "openai", - "model_id": "gpt-4-0314", - "display_name": "gpt-4-0314", + "model_id": "gpt-4-0613", + "display_name": "gpt-4-0613", "input_per_1m": 30.0, "output_per_1m": 60.0, "cached_input_per_1m": null, "context_window": 8192, "max_output_tokens": 4096, "modalities": "text", - "supports_tools": false, + "supports_tools": true, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 51, + "id": 94, "provider": "openai", - "model_id": "ft:gpt-4-0613", - "display_name": "ft:gpt-4-0613", + "model_id": "gpt-4-0314", + "display_name": "gpt-4-0314", "input_per_1m": 30.0, "output_per_1m": 60.0, "cached_input_per_1m": null, "context_window": 8192, "max_output_tokens": 4096, "modalities": "text", - "supports_tools": true, + "supports_tools": false, "supports_vision": false, "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" }, { - "id": 95, + "id": 92, "provider": "openai", - "model_id": "gpt-4-0613", - "display_name": "gpt-4-0613", + "model_id": "gpt-4", + "display_name": "gpt-4", "input_per_1m": 30.0, "output_per_1m": 60.0, "cached_input_per_1m": null, @@ -4500,7 +4500,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-05-30T13:32:33.163383+00:00" + "updated_at": "2026-05-30T14:12:51.703062+00:00" } ], "mcp_servers": [ @@ -4518,7 +4518,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2341, @@ -4534,7 +4534,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2197, @@ -4550,7 +4550,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2356, @@ -4566,7 +4566,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2158, @@ -4582,7 +4582,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2398, @@ -4598,7 +4598,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2129, @@ -4614,7 +4614,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2144, @@ -4630,7 +4630,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2394, @@ -4646,7 +4646,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2328, @@ -4662,7 +4662,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2304, @@ -4678,7 +4678,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2359, @@ -4694,7 +4694,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2128, @@ -4710,7 +4710,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2357, @@ -4726,7 +4726,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2348, @@ -4742,7 +4742,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2317, @@ -4758,7 +4758,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2343, @@ -4774,7 +4774,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2145, @@ -4790,7 +4790,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2361, @@ -4806,7 +4806,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2371, @@ -4822,7 +4822,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2165, @@ -4838,7 +4838,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2441, @@ -4854,7 +4854,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2364, @@ -4870,7 +4870,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2449, @@ -4886,7 +4886,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2306, @@ -4902,7 +4902,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2120, @@ -4918,7 +4918,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2305, @@ -4934,7 +4934,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2119, @@ -4950,7 +4950,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2200, @@ -4966,7 +4966,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2336, @@ -4982,7 +4982,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2111, @@ -4998,7 +4998,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2123, @@ -5014,7 +5014,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2134, @@ -5030,7 +5030,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2412, @@ -5046,7 +5046,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2372, @@ -5062,7 +5062,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2366, @@ -5078,7 +5078,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2310, @@ -5094,7 +5094,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2350, @@ -5110,7 +5110,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2164, @@ -5126,7 +5126,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2389, @@ -5142,7 +5142,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2132, @@ -5158,7 +5158,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2329, @@ -5174,7 +5174,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2168, @@ -5190,7 +5190,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2406, @@ -5206,7 +5206,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2353, @@ -5222,7 +5222,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2199, @@ -5238,7 +5238,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2178, @@ -5254,7 +5254,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2151, @@ -5270,7 +5270,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2447, @@ -5286,7 +5286,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2331, @@ -5302,7 +5302,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2192, @@ -5318,7 +5318,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2311, @@ -5334,7 +5334,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2360, @@ -5350,7 +5350,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2118, @@ -5366,7 +5366,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2315, @@ -5382,7 +5382,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2417, @@ -5398,23 +5398,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" - }, - { - "id": 2136, - "url": "https://www.pulsemcp.com/servers/13rac1-videocapture", - "name": "VideoCapture", - "description": "VideoCapture MCP provides AI assistants with access to webcams and video sources through OpenCV, enabling image capture and camera control capabilities. The server exposes tools for capturing still images, managing camera connections, adjusting video properties like brightness and resolution, and performing basic image transformations such as horizontal flipping. Developed by 13rac1, this implementation focuses on still image capture only (no video streaming) and is designed to integrate seamlessly with Claude Desktop, making it ideal for AI applications that need to analyze real-world objects or environments through webcam imagery.", - "homepage_url": null, - "source_code_url": "https://github.com/13rac1/videocapture-mcp", - "github_stars": 17, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": null, - "is_remote": false, - "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2375, @@ -5430,15 +5414,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2369, - "url": "https://www.pulsemcp.com/servers/abdulkhalek-1-drf-docs", - "name": "DRF Docs", - "description": "Serves Django REST Framework API documentation via the Model Context Protocol, enabling AI coding agents to browse endpoints, schemas, and authentication methods. Provides tools for searching endpoints, generating request/response examples, and producing integration code in JavaScript, TypeScript, Python, and cURL. Supports drf-spectacular, drf-yasg, and DRF's built-in schema generation with both stdio and streamable-http transports.", + "id": 2136, + "url": "https://www.pulsemcp.com/servers/13rac1-videocapture", + "name": "VideoCapture", + "description": "VideoCapture MCP provides AI assistants with access to webcams and video sources through OpenCV, enabling image capture and camera control capabilities. The server exposes tools for capturing still images, managing camera connections, adjusting video properties like brightness and resolution, and performing basic image transformations such as horizontal flipping. Developed by 13rac1, this implementation focuses on still image capture only (no video streaming) and is designed to integrate seamlessly with Claude Desktop, making it ideal for AI applications that need to analyze real-world objects or environments through webcam imagery.", "homepage_url": null, - "source_code_url": "https://github.com/abdulkhalek-1/drf-mcp-docs", + "source_code_url": "https://github.com/13rac1/videocapture-mcp", "github_stars": 17, "package_registry": null, "package_name": null, @@ -5446,7 +5430,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2405, @@ -5462,7 +5446,23 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" + }, + { + "id": 2369, + "url": "https://www.pulsemcp.com/servers/abdulkhalek-1-drf-docs", + "name": "DRF Docs", + "description": "Serves Django REST Framework API documentation via the Model Context Protocol, enabling AI coding agents to browse endpoints, schemas, and authentication methods. Provides tools for searching endpoints, generating request/response examples, and producing integration code in JavaScript, TypeScript, Python, and cURL. Supports drf-spectacular, drf-yasg, and DRF's built-in schema generation with both stdio and streamable-http transports.", + "homepage_url": null, + "source_code_url": "https://github.com/abdulkhalek-1/drf-mcp-docs", + "github_stars": 17, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2117, @@ -5478,7 +5478,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2382, @@ -5494,7 +5494,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2384, @@ -5510,7 +5510,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2444, @@ -5526,15 +5526,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2346, - "url": "https://www.pulsemcp.com/servers/aaronsb-confluence-cloud", - "name": "Confluence Cloud", - "description": "This Confluence Cloud MCP server, developed using TypeScript and the Model Context Protocol SDK, provides a standardized interface for AI assistants to interact with Atlassian Confluence Cloud. It offers tools for space management, page operations, content searching, and label handling, enabling seamless integration of Confluence functionality into AI workflows. The implementation stands out by abstracting Confluence's API complexities, allowing AI models to perform tasks like creating pages, managing content, and retrieving information without direct API knowledge. It's particularly valuable for teams looking to automate documentation processes, enhance knowledge management, or build AI-powered tools that leverage Confluence data and capabilities.", + "id": 2130, + "url": "https://www.pulsemcp.com/servers/0xzone-perfetto", + "name": "Perfetto", + "description": "Perfetto MCP is a Rust-based server that enables AI assistants to analyze performance traces in Perfetto's .pftrace format using PerfettoSQL queries. It wraps Google's trace_processor_shell backend and exposes tools for loading trace files, listing available tables and views, inspecting schemas, executing SQL queries, and analyzing process and thread information. Designed for multi-turn agentic workflows with Claude Code and other MCP clients.", "homepage_url": null, - "source_code_url": "https://github.com/aaronsb/confluence-cloud-mcp", + "source_code_url": "https://github.com/tooluse-labs/perfetto-mcp-rs", "github_stars": 15, "package_registry": null, "package_name": null, @@ -5542,15 +5542,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2130, - "url": "https://www.pulsemcp.com/servers/0xzone-perfetto", - "name": "Perfetto", - "description": "Perfetto MCP is a Rust-based server that enables AI assistants to analyze performance traces in Perfetto's .pftrace format using PerfettoSQL queries. It wraps Google's trace_processor_shell backend and exposes tools for loading trace files, listing available tables and views, inspecting schemas, executing SQL queries, and analyzing process and thread information. Designed for multi-turn agentic workflows with Claude Code and other MCP clients.", + "id": 2346, + "url": "https://www.pulsemcp.com/servers/aaronsb-confluence-cloud", + "name": "Confluence Cloud", + "description": "This Confluence Cloud MCP server, developed using TypeScript and the Model Context Protocol SDK, provides a standardized interface for AI assistants to interact with Atlassian Confluence Cloud. It offers tools for space management, page operations, content searching, and label handling, enabling seamless integration of Confluence functionality into AI workflows. The implementation stands out by abstracting Confluence's API complexities, allowing AI models to perform tasks like creating pages, managing content, and retrieving information without direct API knowledge. It's particularly valuable for teams looking to automate documentation processes, enhance knowledge management, or build AI-powered tools that leverage Confluence data and capabilities.", "homepage_url": null, - "source_code_url": "https://github.com/tooluse-labs/perfetto-mcp-rs", + "source_code_url": "https://github.com/aaronsb/confluence-cloud-mcp", "github_stars": 15, "package_registry": null, "package_name": null, @@ -5558,7 +5558,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2147, @@ -5574,7 +5574,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2301, @@ -5590,7 +5590,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2391, @@ -5606,7 +5606,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2189, @@ -5622,7 +5622,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2148, @@ -5638,23 +5638,23 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2421, - "url": "https://www.pulsemcp.com/servers/acedatacloud-midjourney", - "name": "AceDataCloud Midjourney", - "description": "Generate and edit images using Midjourney AI through the AceDataCloud unified API platform. Supports image generation, variation, upscaling, and editing operations. Available as a hosted service or self-hosted via PyPI.", - "homepage_url": "https://midjourney.mcp.acedata.cloud", - "source_code_url": "https://github.com/acedatacloud/midjourneymcp", + "id": 2156, + "url": "https://www.pulsemcp.com/servers/2389-research-socialmedia", + "name": "Social Media", + "description": "This MCP server provides team-based social media functionality for AI agents, enabling them to authenticate, create posts with tags and threading support, and read posts with filtering capabilities through integration with an external social media API. Built by 2389-research using TypeScript with a FastAPI Python backend, it features session management for multi-agent environments, comprehensive rate limiting and authentication middleware, structured logging with Prometheus metrics, and Docker deployment support. The implementation uses a global session approach for MCP connections, supports cursor-based pagination, reply threading with parent post validation, and includes extensive test coverage with both unit and integration tests, making it valuable for AI agent collaboration scenarios where multiple agents need to share information and coordinate through a social media-like interface.", + "homepage_url": null, + "source_code_url": "https://github.com/2389-research/mcp-socialmedia", "github_stars": 13, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://midjourney.mcp.acedata.cloud/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2362, @@ -5670,31 +5670,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2156, - "url": "https://www.pulsemcp.com/servers/2389-research-socialmedia", - "name": "Social Media", - "description": "This MCP server provides team-based social media functionality for AI agents, enabling them to authenticate, create posts with tags and threading support, and read posts with filtering capabilities through integration with an external social media API. Built by 2389-research using TypeScript with a FastAPI Python backend, it features session management for multi-agent environments, comprehensive rate limiting and authentication middleware, structured logging with Prometheus metrics, and Docker deployment support. The implementation uses a global session approach for MCP connections, supports cursor-based pagination, reply threading with parent post validation, and includes extensive test coverage with both unit and integration tests, making it valuable for AI agent collaboration scenarios where multiple agents need to share information and coordinate through a social media-like interface.", - "homepage_url": null, - "source_code_url": "https://github.com/2389-research/mcp-socialmedia", + "id": 2421, + "url": "https://www.pulsemcp.com/servers/acedatacloud-midjourney", + "name": "AceDataCloud Midjourney", + "description": "Generate and edit images using Midjourney AI through the AceDataCloud unified API platform. Supports image generation, variation, upscaling, and editing operations. Available as a hosted service or self-hosted via PyPI.", + "homepage_url": "https://midjourney.mcp.acedata.cloud", + "source_code_url": "https://github.com/acedatacloud/midjourneymcp", "github_stars": 13, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://midjourney.mcp.acedata.cloud/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2133, - "url": "https://www.pulsemcp.com/servers/1102tools-federal-contracting", - "name": "Federal Contracting Tools", - "description": "Federal Contracting Tools is a collection of eight specialized MCP servers covering U.S. procurement and regulatory data: SAM.gov entity registration and contract awards, USASpending.gov spending data, GSA CALC+ hourly rate benchmarks from 230K+ MAS contracts, BLS occupational wage data, eCFR for live FAR/DFARS regulations, Federal Register notices, and Regulations.gov dockets. Includes 2,639 regression tests across 82 deterministic tool calls. Built by a federal contracting officer and installable as Claude Desktop Extensions.", - "homepage_url": "https://github.com/1102tools/federal-contracting-mcps", - "source_code_url": "https://github.com/1102tools/federal-contracting-mcps", + "id": 2314, + "url": "https://www.pulsemcp.com/servers/a01110946-rhino3d", + "name": "Rhino3D", + "description": "RhinoMCP connects Rhino3D to Claude AI through a WebSocket-based bridge, enabling AI-assisted 3D modeling capabilities. The implementation consists of three main components: a socket server running inside Rhino's Python environment, a Python client that communicates with the Rhino plugin, and an MCP server that exposes Rhino functionality as tools. It allows Claude to create and manipulate 3D geometry, run Python scripts in Rhino's context, and interact with the modeling environment, making it particularly valuable for architectural design, product development, and other 3D modeling workflows that benefit from AI assistance.", + "homepage_url": null, + "source_code_url": "https://github.com/a01110946/rhinomcp", "github_stars": 12, "package_registry": null, "package_name": null, @@ -5702,15 +5702,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2314, - "url": "https://www.pulsemcp.com/servers/a01110946-rhino3d", - "name": "Rhino3D", - "description": "RhinoMCP connects Rhino3D to Claude AI through a WebSocket-based bridge, enabling AI-assisted 3D modeling capabilities. The implementation consists of three main components: a socket server running inside Rhino's Python environment, a Python client that communicates with the Rhino plugin, and an MCP server that exposes Rhino functionality as tools. It allows Claude to create and manipulate 3D geometry, run Python scripts in Rhino's context, and interact with the modeling environment, making it particularly valuable for architectural design, product development, and other 3D modeling workflows that benefit from AI assistance.", - "homepage_url": null, - "source_code_url": "https://github.com/a01110946/rhinomcp", + "id": 2133, + "url": "https://www.pulsemcp.com/servers/1102tools-federal-contracting", + "name": "Federal Contracting Tools", + "description": "Federal Contracting Tools is a collection of eight specialized MCP servers covering U.S. procurement and regulatory data: SAM.gov entity registration and contract awards, USASpending.gov spending data, GSA CALC+ hourly rate benchmarks from 230K+ MAS contracts, BLS occupational wage data, eCFR for live FAR/DFARS regulations, Federal Register notices, and Regulations.gov dockets. Includes 2,639 regression tests across 82 deterministic tool calls. Built by a federal contracting officer and installable as Claude Desktop Extensions.", + "homepage_url": "https://github.com/1102tools/federal-contracting-mcps", + "source_code_url": "https://github.com/1102tools/federal-contracting-mcps", "github_stars": 12, "package_registry": null, "package_name": null, @@ -5718,7 +5718,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2121, @@ -5734,23 +5734,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" - }, - { - "id": 2334, - "url": "https://www.pulsemcp.com/servers/aallsbury-qb-time", - "name": "QuickBooks Time", - "description": "This QuickBooks Time MCP server, developed by an AI assistant, provides a unified interface to QuickBooks Time API functionality. Built with Python and leveraging libraries like requests and pydantic, it offers a comprehensive set of endpoints for managing jobcodes, timesheets, users, projects, and generating reports. The server implements robust error handling, pagination support, and date parameter formatting. By consolidating multiple QuickBooks Time services into a single, efficient interface, it simplifies integration and data access for developers. This implementation is particularly valuable for businesses using QuickBooks Time, enabling use cases such as automated time tracking, payroll processing, project management, and custom reporting workflows.", - "homepage_url": null, - "source_code_url": "https://github.com/aallsbury/qb-time-mcp-server", - "github_stars": 11, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": null, - "is_remote": false, - "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2337, @@ -5766,7 +5750,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2338, @@ -5782,15 +5766,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2140, - "url": "https://www.pulsemcp.com/servers/1broseidon-jira", - "name": "Jira", - "description": "This Jira MCP server, developed using TypeScript and the Model Context Protocol SDK, provides AI assistants with a standardized interface to interact with Jira's REST API. It offers tools for managing issues, including creation, listing, updating, and deletion, as well as adding comments. The server abstracts the complexities of Jira's API, handling authentication and request formatting. It's particularly valuable for AI systems focused on project management and issue tracking, enabling use cases such as automated task creation, status updates, and project overview generation. The implementation includes error handling for common Jira-specific scenarios and formats issue information for easy consumption by AI assistants.", + "id": 2122, + "url": "https://www.pulsemcp.com/servers/0xkoda-ethereum-rpc", + "name": "Ethereum RPC", + "description": "This Ethereum RPC MCP server provides a bridge to interact with the Ethereum blockchain through standard JSON-RPC calls. Developed by Koda, it exposes three essential tools: eth_getCode for retrieving contract bytecode, eth_gasPrice for checking current gas prices, and eth_getBalance for querying account balances. The implementation uses axios for making HTTP requests to a public Ethereum RPC endpoint (llamarpc) and includes error handling with human-readable responses. Ideal for AI assistants that need to perform basic Ethereum blockchain queries without requiring complex wallet integration.", "homepage_url": null, - "source_code_url": "https://github.com/1broseidon/mcp-jira-server", + "source_code_url": "https://github.com/0xkoda/eth-mcp", "github_stars": 11, "package_registry": null, "package_name": null, @@ -5798,15 +5782,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2122, - "url": "https://www.pulsemcp.com/servers/0xkoda-ethereum-rpc", - "name": "Ethereum RPC", - "description": "This Ethereum RPC MCP server provides a bridge to interact with the Ethereum blockchain through standard JSON-RPC calls. Developed by Koda, it exposes three essential tools: eth_getCode for retrieving contract bytecode, eth_gasPrice for checking current gas prices, and eth_getBalance for querying account balances. The implementation uses axios for making HTTP requests to a public Ethereum RPC endpoint (llamarpc) and includes error handling with human-readable responses. Ideal for AI assistants that need to perform basic Ethereum blockchain queries without requiring complex wallet integration.", + "id": 2334, + "url": "https://www.pulsemcp.com/servers/aallsbury-qb-time", + "name": "QuickBooks Time", + "description": "This QuickBooks Time MCP server, developed by an AI assistant, provides a unified interface to QuickBooks Time API functionality. Built with Python and leveraging libraries like requests and pydantic, it offers a comprehensive set of endpoints for managing jobcodes, timesheets, users, projects, and generating reports. The server implements robust error handling, pagination support, and date parameter formatting. By consolidating multiple QuickBooks Time services into a single, efficient interface, it simplifies integration and data access for developers. This implementation is particularly valuable for businesses using QuickBooks Time, enabling use cases such as automated time tracking, payroll processing, project management, and custom reporting workflows.", "homepage_url": null, - "source_code_url": "https://github.com/0xkoda/eth-mcp", + "source_code_url": "https://github.com/aallsbury/qb-time-mcp-server", "github_stars": 11, "package_registry": null, "package_name": null, @@ -5814,7 +5798,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2167, @@ -5822,7 +5806,23 @@ "name": "QR Code Generator", "description": "This MCP server provides QR code generation capabilities through the qrcode and Pillow libraries, enabling AI assistants to convert any text (including Chinese characters) into QR code images with customizable styling options like colors, box size, and borders. Built by niu_he using Python with FastMCP, it offers a single generate_qr_code tool that returns base64-encoded images with optional Data URL formatting, supports multiple transport modes (STDIO, HTTP, SSE) for flexible deployment scenarios, and includes comprehensive configuration examples for Claude Desktop integration. The implementation features robust error handling, Docker containerization support, and direct Python API access through qrcode_utils, making it valuable for document generation workflows, contact sharing applications, URL shortening services, and building AI assistants that need to create scannable QR codes programmatically without external API dependencies.", "homepage_url": null, - "source_code_url": "https://github.com/2niuhe/qrcode_mcp", + "source_code_url": "https://github.com/2niuhe/qrcode_mcp", + "github_stars": 11, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-05-30T14:13:14.511952+00:00" + }, + { + "id": 2140, + "url": "https://www.pulsemcp.com/servers/1broseidon-jira", + "name": "Jira", + "description": "This Jira MCP server, developed using TypeScript and the Model Context Protocol SDK, provides AI assistants with a standardized interface to interact with Jira's REST API. It offers tools for managing issues, including creation, listing, updating, and deletion, as well as adding comments. The server abstracts the complexities of Jira's API, handling authentication and request formatting. It's particularly valuable for AI systems focused on project management and issue tracking, enabling use cases such as automated task creation, status updates, and project overview generation. The implementation includes error handling for common Jira-specific scenarios and formats issue information for easy consumption by AI assistants.", + "homepage_url": null, + "source_code_url": "https://github.com/1broseidon/mcp-jira-server", "github_stars": 11, "package_registry": null, "package_name": null, @@ -5830,7 +5830,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2169, @@ -5846,15 +5846,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2377, - "url": "https://www.pulsemcp.com/servers/abhijeetka-kubernetes", - "name": "Kubernetes", - "description": "The MCP Kubernetes Server provides a bridge between Large Language Models and Kubernetes clusters through a set of specialized tools. Built with Python using the FastMCP framework, it wraps kubectl commands to enable operations like retrieving pod information, managing deployments, switching contexts, and troubleshooting cluster issues. The server requires a configured kubectl environment and can be integrated with Claude Desktop for seamless natural language interactions with Kubernetes resources. It's particularly valuable for DevOps workflows that benefit from conversational interfaces to Kubernetes, allowing users to create, scale, and monitor resources without remembering exact kubectl syntax.", + "id": 2170, + "url": "https://www.pulsemcp.com/servers/317431629-3dsmax", + "name": "3ds Max", + "description": "Bridges AI assistants and Autodesk 3ds Max through TCP socket communication, providing 25 tools for scene management, object creation and manipulation, material assignment, lighting setup, keyframe animation, and custom MAXScript/Python script execution. Supports natural language control of 3D modeling workflows including geometry creation, transform operations, and rendering setup. Published on PyPI for easy installation.", "homepage_url": null, - "source_code_url": "https://github.com/abhijeetka/mcp-k8s-server", + "source_code_url": "https://github.com/317431629/3dsmaxmcp", "github_stars": 10, "package_registry": null, "package_name": null, @@ -5862,15 +5862,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2170, - "url": "https://www.pulsemcp.com/servers/317431629-3dsmax", - "name": "3ds Max", - "description": "Bridges AI assistants and Autodesk 3ds Max through TCP socket communication, providing 25 tools for scene management, object creation and manipulation, material assignment, lighting setup, keyframe animation, and custom MAXScript/Python script execution. Supports natural language control of 3D modeling workflows including geometry creation, transform operations, and rendering setup. Published on PyPI for easy installation.", + "id": 2377, + "url": "https://www.pulsemcp.com/servers/abhijeetka-kubernetes", + "name": "Kubernetes", + "description": "The MCP Kubernetes Server provides a bridge between Large Language Models and Kubernetes clusters through a set of specialized tools. Built with Python using the FastMCP framework, it wraps kubectl commands to enable operations like retrieving pod information, managing deployments, switching contexts, and troubleshooting cluster issues. The server requires a configured kubectl environment and can be integrated with Claude Desktop for seamless natural language interactions with Kubernetes resources. It's particularly valuable for DevOps workflows that benefit from conversational interfaces to Kubernetes, allowing users to create, scale, and monitor resources without remembering exact kubectl syntax.", "homepage_url": null, - "source_code_url": "https://github.com/317431629/3dsmaxmcp", + "source_code_url": "https://github.com/abhijeetka/mcp-k8s-server", "github_stars": 10, "package_registry": null, "package_name": null, @@ -5878,15 +5878,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2414, - "url": "https://www.pulsemcp.com/servers/acacian-aegis", - "name": "Aegis", - "description": "Aegis is a Python middleware that sits between AI agents and their actions, providing policy-based governance. It evaluates every action against YAML-defined rules with glob matching, enforces four-tier risk classification (low/medium/high/critical), and gates execution through configurable approval handlers including CLI, Slack, Discord, Telegram, and webhooks. The MCP adapter wraps Model Context Protocol tool calls with the same governance pipeline. Additional capabilities include behavioral anomaly detection, compliance reporting, cryptographic audit chains, RBAC, and multi-tenant isolation.", + "id": 2324, + "url": "https://www.pulsemcp.com/servers/a37ai-ansible-tower", + "name": "Ansible Tower", + "description": "Ansible Tower MCP Server provides a bridge between LLMs and Ansible Tower/AWX instances, enabling AI assistants to manage infrastructure automation tasks through a comprehensive API interface. The implementation supports inventory, host, group, job template, project, credential, and organization management with secure authentication options via username/password or token. Built with Python using the FastMCP framework, it handles pagination, error management, and various response formats while maintaining secure connections to Ansible Tower instances. This server is particularly valuable for DevOps workflows where infrastructure management and deployment automation need to be integrated directly into AI assistant conversations.", "homepage_url": null, - "source_code_url": "https://github.com/acacian/aegis", + "source_code_url": "https://github.com/a37ai/ansible-tower-mcp", "github_stars": 9, "package_registry": null, "package_name": null, @@ -5894,15 +5894,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2324, - "url": "https://www.pulsemcp.com/servers/a37ai-ansible-tower", - "name": "Ansible Tower", - "description": "Ansible Tower MCP Server provides a bridge between LLMs and Ansible Tower/AWX instances, enabling AI assistants to manage infrastructure automation tasks through a comprehensive API interface. The implementation supports inventory, host, group, job template, project, credential, and organization management with secure authentication options via username/password or token. Built with Python using the FastMCP framework, it handles pagination, error management, and various response formats while maintaining secure connections to Ansible Tower instances. This server is particularly valuable for DevOps workflows where infrastructure management and deployment automation need to be integrated directly into AI assistant conversations.", + "id": 2414, + "url": "https://www.pulsemcp.com/servers/acacian-aegis", + "name": "Aegis", + "description": "Aegis is a Python middleware that sits between AI agents and their actions, providing policy-based governance. It evaluates every action against YAML-defined rules with glob matching, enforces four-tier risk classification (low/medium/high/critical), and gates execution through configurable approval handlers including CLI, Slack, Discord, Telegram, and webhooks. The MCP adapter wraps Model Context Protocol tool calls with the same governance pipeline. Additional capabilities include behavioral anomaly detection, compliance reporting, cryptographic audit chains, RBAC, and multi-tenant isolation.", "homepage_url": null, - "source_code_url": "https://github.com/a37ai/ansible-tower-mcp", + "source_code_url": "https://github.com/acacian/aegis", "github_stars": 9, "package_registry": null, "package_name": null, @@ -5910,7 +5910,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2446, @@ -5926,7 +5926,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2109, @@ -5942,7 +5942,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2106, @@ -5958,7 +5958,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2428, @@ -5974,7 +5974,7 @@ "remote_url": "https://suno.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2365, @@ -5990,15 +5990,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2196, - "url": "https://www.pulsemcp.com/servers/611711dark-sympy-calculator", - "name": "SymPy Calculator", - "description": "MCP Calculate Server provides mathematical computation capabilities through a Python-based server that leverages the SymPy library for symbolic mathematics. Developed by 611711Dark, this implementation enables AI assistants to perform complex calculations, equation solving, and symbolic manipulation without needing direct access to mathematical libraries. The server requires Python 3.11 or higher and depends on both the MCP framework and SymPy, making it ideal for use cases requiring advanced mathematical operations within AI assistant conversations.", + "id": 2150, + "url": "https://www.pulsemcp.com/servers/1yhy-ali-oss", + "name": "Ali OSS", + "description": "OSS-MCP is a server implementation that provides a bridge between AI assistants and Object Storage Services (OSS), specifically Ali OSS. Developed by 1yhy, this TypeScript-based server enables file operations through a RESTful API, allowing assistants to upload, download, list, and manage files in cloud storage. The implementation leverages the ali-oss SDK and Express framework to handle requests efficiently, with environment-based configuration for secure credential management. It's particularly valuable for use cases requiring document management, media file handling, or backup operations without leaving the assistant interface.", "homepage_url": null, - "source_code_url": "https://github.com/611711dark/mcp_calculate_server", + "source_code_url": "https://github.com/1yhy/oss-mcp", "github_stars": 6, "package_registry": null, "package_name": null, @@ -6006,15 +6006,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2139, - "url": "https://www.pulsemcp.com/servers/1595901624-qrcodes", - "name": "QR Codes", - "description": "This client implementation allows users to retrieve the latest proxy nodes and generate QR codes for them. It utilizes the Model Context Protocol SDK and the QRCode library to fetch proxy information and create visual representations. The tool is designed to simplify access to up-to-date proxy data, making it useful for applications that require quick and easy proxy configuration.", + "id": 2399, + "url": "https://www.pulsemcp.com/servers/aborroy-alfresco-content-services", + "name": "Alfresco Content Services", + "description": "This Alfresco MCP Proof of Concept, developed by aborroy, demonstrates integration of Alfresco's content management capabilities with AI applications using the Model Context Protocol. Built using Java and Node.js, it combines a standard Alfresco deployment with custom MCP client and server components. The implementation leverages Spring AI and the TypeScript SDK to connect Alfresco's document management features to AI workflows. It's particularly useful for organizations looking to enhance their Alfresco-based content repositories with AI capabilities, enabling use cases like intelligent document processing, automated metadata extraction, and content-aware chatbots without extensive custom development.", "homepage_url": null, - "source_code_url": "https://github.com/1595901624/qrcode-mcp", + "source_code_url": "https://github.com/aborroy/alfresco-mcp-poc", "github_stars": 6, "package_registry": null, "package_name": null, @@ -6022,15 +6022,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2308, - "url": "https://www.pulsemcp.com/servers/90barricade93-msfs-sdk", - "name": "Microsoft Flight Simulator SDK", - "description": "MSFS SDK MCP server provides TypeScript-based access to Microsoft Flight Simulator SDK documentation through web scraping and natural language processing. The implementation fetches documentation from docs.flightsimulator.com, supports category-based searching across contents, index, and glossary sections, and includes a natural language service that parses commands like 'Search livery op msfs sdk' into structured tool calls. Built with Cheerio for HTML parsing and Puppeteer for web automation, it's designed for flight simulation developers who need quick access to MSFS SDK documentation without manually browsing the official documentation site, enabling workflows like finding specific API references, code examples, and technical specifications through conversational queries.", + "id": 2196, + "url": "https://www.pulsemcp.com/servers/611711dark-sympy-calculator", + "name": "SymPy Calculator", + "description": "MCP Calculate Server provides mathematical computation capabilities through a Python-based server that leverages the SymPy library for symbolic mathematics. Developed by 611711Dark, this implementation enables AI assistants to perform complex calculations, equation solving, and symbolic manipulation without needing direct access to mathematical libraries. The server requires Python 3.11 or higher and depends on both the MCP framework and SymPy, making it ideal for use cases requiring advanced mathematical operations within AI assistant conversations.", "homepage_url": null, - "source_code_url": "https://github.com/90barricade93/msfs-sdk-mcp", + "source_code_url": "https://github.com/611711dark/mcp_calculate_server", "github_stars": 6, "package_registry": null, "package_name": null, @@ -6038,15 +6038,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2150, - "url": "https://www.pulsemcp.com/servers/1yhy-ali-oss", - "name": "Ali OSS", - "description": "OSS-MCP is a server implementation that provides a bridge between AI assistants and Object Storage Services (OSS), specifically Ali OSS. Developed by 1yhy, this TypeScript-based server enables file operations through a RESTful API, allowing assistants to upload, download, list, and manage files in cloud storage. The implementation leverages the ali-oss SDK and Express framework to handle requests efficiently, with environment-based configuration for secure credential management. It's particularly valuable for use cases requiring document management, media file handling, or backup operations without leaving the assistant interface.", + "id": 2302, + "url": "https://www.pulsemcp.com/servers/7majesty-m-terminal-guardian", + "name": "Terminal Guardian", + "description": "Offers AI assistants secure, sandboxed terminal access with built-in risk analysis for all commands. Uses a deny-by-default security model with 14 MCP tools covering command execution, file operations, and process management. Designed to prevent accidental or malicious system damage when AI agents run terminal commands. Published as an npm package.", "homepage_url": null, - "source_code_url": "https://github.com/1yhy/oss-mcp", + "source_code_url": "https://github.com/7majesty-m/terminal-guardian-mcp", "github_stars": 6, "package_registry": null, "package_name": null, @@ -6054,15 +6054,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2302, - "url": "https://www.pulsemcp.com/servers/7majesty-m-terminal-guardian", - "name": "Terminal Guardian", - "description": "Offers AI assistants secure, sandboxed terminal access with built-in risk analysis for all commands. Uses a deny-by-default security model with 14 MCP tools covering command execution, file operations, and process management. Designed to prevent accidental or malicious system damage when AI agents run terminal commands. Published as an npm package.", + "id": 2139, + "url": "https://www.pulsemcp.com/servers/1595901624-qrcodes", + "name": "QR Codes", + "description": "This client implementation allows users to retrieve the latest proxy nodes and generate QR codes for them. It utilizes the Model Context Protocol SDK and the QRCode library to fetch proxy information and create visual representations. The tool is designed to simplify access to up-to-date proxy data, making it useful for applications that require quick and easy proxy configuration.", "homepage_url": null, - "source_code_url": "https://github.com/7majesty-m/terminal-guardian-mcp", + "source_code_url": "https://github.com/1595901624/qrcode-mcp", "github_stars": 6, "package_registry": null, "package_name": null, @@ -6070,15 +6070,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2399, - "url": "https://www.pulsemcp.com/servers/aborroy-alfresco-content-services", - "name": "Alfresco Content Services", - "description": "This Alfresco MCP Proof of Concept, developed by aborroy, demonstrates integration of Alfresco's content management capabilities with AI applications using the Model Context Protocol. Built using Java and Node.js, it combines a standard Alfresco deployment with custom MCP client and server components. The implementation leverages Spring AI and the TypeScript SDK to connect Alfresco's document management features to AI workflows. It's particularly useful for organizations looking to enhance their Alfresco-based content repositories with AI capabilities, enabling use cases like intelligent document processing, automated metadata extraction, and content-aware chatbots without extensive custom development.", + "id": 2308, + "url": "https://www.pulsemcp.com/servers/90barricade93-msfs-sdk", + "name": "Microsoft Flight Simulator SDK", + "description": "MSFS SDK MCP server provides TypeScript-based access to Microsoft Flight Simulator SDK documentation through web scraping and natural language processing. The implementation fetches documentation from docs.flightsimulator.com, supports category-based searching across contents, index, and glossary sections, and includes a natural language service that parses commands like 'Search livery op msfs sdk' into structured tool calls. Built with Cheerio for HTML parsing and Puppeteer for web automation, it's designed for flight simulation developers who need quick access to MSFS SDK documentation without manually browsing the official documentation site, enabling workflows like finding specific API references, code examples, and technical specifications through conversational queries.", "homepage_url": null, - "source_code_url": "https://github.com/aborroy/alfresco-mcp-poc", + "source_code_url": "https://github.com/90barricade93/msfs-sdk-mcp", "github_stars": 6, "package_registry": null, "package_name": null, @@ -6086,7 +6086,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2422, @@ -6102,7 +6102,7 @@ "remote_url": "https://nanobanana.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2385, @@ -6118,15 +6118,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2437, - "url": "https://www.pulsemcp.com/servers/achetronic-filesystem", - "name": "Filesystem", - "description": "Go-based filesystem server with enterprise security features including role-based access control using CEL expressions, JWT-based authentication with OAuth2 integration, and a comprehensive undo system for file operations. Supports both stdio and HTTP transports, offers process management for background command execution, scratch storage, and system information retrieval. Designed for development workflows and system administration tasks requiring fine-grained permission control over file operations.", + "id": 2114, + "url": "https://www.pulsemcp.com/servers/0xbuz3r-emba-firmware-analyzer", + "name": "EMBA Firmware Security Analyzer", + "description": "Exposes EMBA (Embedded Analyzer) firmware security analysis as an MCP server, enabling automated scanning and parsing of embedded device firmware images. Orchestrates EMBA scan execution with process management, persistent scan registry, and comprehensive result parsing across multiple security domains.", "homepage_url": null, - "source_code_url": "https://github.com/achetronic/filesystem-mcp", + "source_code_url": "https://github.com/0xbuz3r/emba-mcp", "github_stars": 5, "package_registry": null, "package_name": null, @@ -6134,7 +6134,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2351, @@ -6150,15 +6150,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2307, - "url": "https://www.pulsemcp.com/servers/8monkey-ai-elysia", - "name": "Elysia", - "description": "Plugin for the Elysia web framework that auto-discovers routes and exposes them as MCP tools. Reuses existing schema validators from TypeBox, Zod, Valibot, or any Standard Schema provider, and merges params, query, and body schemas into a flat MCP input structure. Routes execute through the full app middleware and plugin chain.", + "id": 2437, + "url": "https://www.pulsemcp.com/servers/achetronic-filesystem", + "name": "Filesystem", + "description": "Go-based filesystem server with enterprise security features including role-based access control using CEL expressions, JWT-based authentication with OAuth2 integration, and a comprehensive undo system for file operations. Supports both stdio and HTTP transports, offers process management for background command execution, scratch storage, and system information retrieval. Designed for development workflows and system administration tasks requiring fine-grained permission control over file operations.", "homepage_url": null, - "source_code_url": "https://github.com/8monkey-ai/elysia-mcp", + "source_code_url": "https://github.com/achetronic/filesystem-mcp", "github_stars": 5, "package_registry": null, "package_name": null, @@ -6166,7 +6166,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2105, @@ -6182,15 +6182,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2114, - "url": "https://www.pulsemcp.com/servers/0xbuz3r-emba-firmware-analyzer", - "name": "EMBA Firmware Security Analyzer", - "description": "Exposes EMBA (Embedded Analyzer) firmware security analysis as an MCP server, enabling automated scanning and parsing of embedded device firmware images. Orchestrates EMBA scan execution with process management, persistent scan registry, and comprehensive result parsing across multiple security domains.", + "id": 2307, + "url": "https://www.pulsemcp.com/servers/8monkey-ai-elysia", + "name": "Elysia", + "description": "Plugin for the Elysia web framework that auto-discovers routes and exposes them as MCP tools. Reuses existing schema validators from TypeBox, Zod, Valibot, or any Standard Schema provider, and merges params, query, and body schemas into a flat MCP input structure. Routes execute through the full app middleware and plugin chain.", "homepage_url": null, - "source_code_url": "https://github.com/0xbuz3r/emba-mcp", + "source_code_url": "https://github.com/8monkey-ai/elysia-mcp", "github_stars": 5, "package_registry": null, "package_name": null, @@ -6198,15 +6198,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2438, - "url": "https://www.pulsemcp.com/servers/achetronic-hass", - "name": "Home Assistant (Achetronic)", - "description": "A Go-based MCP server that bridges AI assistants with Home Assistant smart home systems, providing comprehensive control over IoT devices, automation management, and system monitoring. Offers tools for entity management (querying states, controlling devices), service calls, system insights (domain summaries, error logs), and troubleshooting capabilities. Supports both local stdio transport for desktop AI clients and HTTP transport for remote access, with production-ready features including OAuth authentication, JWT validation, Docker containerization, and Kubernetes deployment via Helm charts.", + "id": 2185, + "url": "https://www.pulsemcp.com/servers/404f0x-google-colab", + "name": "Google Colab", + "description": "This server extends a baseline Colab MCP implementation with comprehensive notebook management including cell editing, runtime connection, shell command execution, file operations, and GPU monitoring. It enables AI agents to use Google Colab as a remote browser, shell, file system, and training runtime through MCP tools.", "homepage_url": null, - "source_code_url": "https://github.com/achetronic/hass-mcp", + "source_code_url": "https://github.com/404f0x/better_colab_mcp", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6214,15 +6214,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2116, - "url": "https://www.pulsemcp.com/servers/0xdwong-sui", - "name": "Sui", - "description": "Sui MCP server enables AI assistants to interact with the Sui blockchain network through a standardized interface. Built with TypeScript, it provides tools for requesting test tokens from the Sui devnet faucet and integrates with the official Sui SDK. This implementation is particularly valuable for blockchain developers and users who need to test Sui smart contracts or manage wallets through conversational AI.", + "id": 2438, + "url": "https://www.pulsemcp.com/servers/achetronic-hass", + "name": "Home Assistant (Achetronic)", + "description": "A Go-based MCP server that bridges AI assistants with Home Assistant smart home systems, providing comprehensive control over IoT devices, automation management, and system monitoring. Offers tools for entity management (querying states, controlling devices), service calls, system insights (domain summaries, error logs), and troubleshooting capabilities. Supports both local stdio transport for desktop AI clients and HTTP transport for remote access, with production-ready features including OAuth authentication, JWT validation, Docker containerization, and Kubernetes deployment via Helm charts.", "homepage_url": null, - "source_code_url": "https://github.com/deanpluse/sui-mcp", + "source_code_url": "https://github.com/achetronic/hass-mcp", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6230,7 +6230,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2392, @@ -6246,15 +6246,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2163, - "url": "https://www.pulsemcp.com/servers/2arons-org", - "name": "Org Mode", - "description": "Exposes org-mode and org-roam knowledge bases to LLMs without requiring Emacs to run. Uses a tree-sitter org parser and maintains an SQLite index for fast full-text search, tag and property filtering, backlink traversal, heading subtree extraction, and file watching for live updates. Parses org-mode syntax including drawers, blocks, inline markup, and timestamps. Available via cargo install.", + "id": 2146, + "url": "https://www.pulsemcp.com/servers/1pitaph-sketchup", + "name": "SketchUp", + "description": "SketchUp plugin built in Ruby that enables AI assistants to interact with 3D models through a non-blocking TCP server on port 9876. Provides tools for model inspection, entity selection, geometry creation (faces, edges, groups, boxes), entity transformation (move, rotate, scale), material assignment, entity deletion, and arbitrary Ruby code execution. Includes a Python stdio bridge for connecting MCP clients like Claude Desktop, with configurable port, log level, and max client settings.", "homepage_url": null, - "source_code_url": "https://github.com/2arons/org-mcp", + "source_code_url": "https://github.com/1pitaph/su_mcp", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6262,15 +6262,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2166, - "url": "https://www.pulsemcp.com/servers/2captcha", - "name": "2Captcha", - "description": "2Captcha MCP Server provides browser automation and captcha-solving capabilities for AI agents. It exposes approximately 12 tools covering page navigation, clicking, text extraction, and dedicated captcha-solving workflows including reCAPTCHA v2, backed by the 2Captcha API. Designed to keep agents from managing low-level browser steps while handling captcha challenges that block automation flows. Requires a 2Captcha API key.", + "id": 2116, + "url": "https://www.pulsemcp.com/servers/0xdwong-sui", + "name": "Sui", + "description": "Sui MCP server enables AI assistants to interact with the Sui blockchain network through a standardized interface. Built with TypeScript, it provides tools for requesting test tokens from the Sui devnet faucet and integrates with the official Sui SDK. This implementation is particularly valuable for blockchain developers and users who need to test Sui smart contracts or manage wallets through conversational AI.", "homepage_url": null, - "source_code_url": "https://github.com/2captcha/mcp-captcha-solver", + "source_code_url": "https://github.com/deanpluse/sui-mcp", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6278,15 +6278,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2185, - "url": "https://www.pulsemcp.com/servers/404f0x-google-colab", - "name": "Google Colab", - "description": "This server extends a baseline Colab MCP implementation with comprehensive notebook management including cell editing, runtime connection, shell command execution, file operations, and GPU monitoring. It enables AI agents to use Google Colab as a remote browser, shell, file system, and training runtime through MCP tools.", + "id": 2126, + "url": "https://www.pulsemcp.com/servers/0x-professor-ui-analyzer", + "name": "UI Analyzer", + "description": "Analyzes website UI using Playwright browser automation to detect layout issues, identify broken elements, and generate precise CSS/HTML fixes with framework-specific solutions for React, Vue, Angular, and popular UI libraries.", "homepage_url": null, - "source_code_url": "https://github.com/404f0x/better_colab_mcp", + "source_code_url": "https://github.com/0x-professor/uianalyzermcp", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6294,15 +6294,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2323, - "url": "https://www.pulsemcp.com/servers/a2xdeveloper-tagesschau", - "name": "Tagesschau", - "description": "Provides a bridge to the Tagesschau news API, enabling AI assistants to fetch and analyze German news articles from categories like domestic, foreign, economic and sports coverage. Built with Go and the MCP protocol, it exposes tools for retrieving latest headlines and detailed article content through a clean interface. This implementation is particularly valuable for users who want to access and analyze German news content programmatically through natural language interaction.", + "id": 2125, + "url": "https://www.pulsemcp.com/servers/0x-professor-ctftime", + "name": "CTFtime", + "description": "Provides programmatic access to CTFtime.org data for cybersecurity competition tracking and analysis. Offers tools for retrieving upcoming and historical CTF events, team rankings (global and by country), detailed event information including format and weight, competition results, and event search capabilities. Features specialized prompts for analyzing CTF events, identifying beginner-friendly competitions, and generating team performance reports, making it useful for CTF participants planning their competition schedule, researchers studying the competitive cybersecurity landscape, and teams tracking their performance against peers.", "homepage_url": null, - "source_code_url": "https://github.com/a2xdeveloper/tagesschau-mcp-server", + "source_code_url": "https://github.com/0x-professor/ctf-time-mcp", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6310,15 +6310,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2146, - "url": "https://www.pulsemcp.com/servers/1pitaph-sketchup", - "name": "SketchUp", - "description": "SketchUp plugin built in Ruby that enables AI assistants to interact with 3D models through a non-blocking TCP server on port 9876. Provides tools for model inspection, entity selection, geometry creation (faces, edges, groups, boxes), entity transformation (move, rotate, scale), material assignment, entity deletion, and arbitrary Ruby code execution. Includes a Python stdio bridge for connecting MCP clients like Claude Desktop, with configurable port, log level, and max client settings.", + "id": 2166, + "url": "https://www.pulsemcp.com/servers/2captcha", + "name": "2Captcha", + "description": "2Captcha MCP Server provides browser automation and captcha-solving capabilities for AI agents. It exposes approximately 12 tools covering page navigation, clicking, text extraction, and dedicated captcha-solving workflows including reCAPTCHA v2, backed by the 2Captcha API. Designed to keep agents from managing low-level browser steps while handling captcha challenges that block automation flows. Requires a 2Captcha API key.", "homepage_url": null, - "source_code_url": "https://github.com/1pitaph/su_mcp", + "source_code_url": "https://github.com/2captcha/mcp-captcha-solver", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6326,15 +6326,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2381, - "url": "https://www.pulsemcp.com/servers/abhinavkalyan10-personal-context", - "name": "Personal Context", - "description": "Provides a Markdown-based memory system for Claude Desktop using a three-layer architecture: core memory for persistent facts, dynamic memory for session context, and an inbox for incoming information. Includes tools for memory file management and structured memory operations to maintain context across conversations.", + "id": 2323, + "url": "https://www.pulsemcp.com/servers/a2xdeveloper-tagesschau", + "name": "Tagesschau", + "description": "Provides a bridge to the Tagesschau news API, enabling AI assistants to fetch and analyze German news articles from categories like domestic, foreign, economic and sports coverage. Built with Go and the MCP protocol, it exposes tools for retrieving latest headlines and detailed article content through a clean interface. This implementation is particularly valuable for users who want to access and analyze German news content programmatically through natural language interaction.", "homepage_url": null, - "source_code_url": "https://github.com/abhinavkalyan10/personal-context-mcp", + "source_code_url": "https://github.com/a2xdeveloper/tagesschau-mcp-server", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6342,15 +6342,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2125, - "url": "https://www.pulsemcp.com/servers/0x-professor-ctftime", - "name": "CTFtime", - "description": "Provides programmatic access to CTFtime.org data for cybersecurity competition tracking and analysis. Offers tools for retrieving upcoming and historical CTF events, team rankings (global and by country), detailed event information including format and weight, competition results, and event search capabilities. Features specialized prompts for analyzing CTF events, identifying beginner-friendly competitions, and generating team performance reports, making it useful for CTF participants planning their competition schedule, researchers studying the competitive cybersecurity landscape, and teams tracking their performance against peers.", + "id": 2163, + "url": "https://www.pulsemcp.com/servers/2arons-org", + "name": "Org Mode", + "description": "Exposes org-mode and org-roam knowledge bases to LLMs without requiring Emacs to run. Uses a tree-sitter org parser and maintains an SQLite index for fast full-text search, tag and property filtering, backlink traversal, heading subtree extraction, and file watching for live updates. Parses org-mode syntax including drawers, blocks, inline markup, and timestamps. Available via cargo install.", "homepage_url": null, - "source_code_url": "https://github.com/0x-professor/ctf-time-mcp", + "source_code_url": "https://github.com/2arons/org-mcp", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6358,7 +6358,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2380, @@ -6374,15 +6374,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2126, - "url": "https://www.pulsemcp.com/servers/0x-professor-ui-analyzer", - "name": "UI Analyzer", - "description": "Analyzes website UI using Playwright browser automation to detect layout issues, identify broken elements, and generate precise CSS/HTML fixes with framework-specific solutions for React, Vue, Angular, and popular UI libraries.", + "id": 2354, + "url": "https://www.pulsemcp.com/servers/aarushkx-covid-statistics", + "name": "COVID-19 Statistics", + "description": "COVID-19 MCP Server provides real-time COVID-19 statistics for any country by connecting to the disease.sh API. The server exposes a single tool called getCovidStatsByCountry that fetches comprehensive data including cases, deaths, recoveries, and testing information when given a country name. Built with TypeScript and the MCP SDK, it runs on stdio transport for seamless integration with Claude Desktop, making it useful for researchers, journalists, or anyone needing quick access to pandemic data without leaving their conversation interface.", "homepage_url": null, - "source_code_url": "https://github.com/0x-professor/uianalyzermcp", + "source_code_url": "https://github.com/aarushkx/covid-mcp-server", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6390,15 +6390,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2354, - "url": "https://www.pulsemcp.com/servers/aarushkx-covid-statistics", - "name": "COVID-19 Statistics", - "description": "COVID-19 MCP Server provides real-time COVID-19 statistics for any country by connecting to the disease.sh API. The server exposes a single tool called getCovidStatsByCountry that fetches comprehensive data including cases, deaths, recoveries, and testing information when given a country name. Built with TypeScript and the MCP SDK, it runs on stdio transport for seamless integration with Claude Desktop, making it useful for researchers, journalists, or anyone needing quick access to pandemic data without leaving their conversation interface.", + "id": 2381, + "url": "https://www.pulsemcp.com/servers/abhinavkalyan10-personal-context", + "name": "Personal Context", + "description": "Provides a Markdown-based memory system for Claude Desktop using a three-layer architecture: core memory for persistent facts, dynamic memory for session context, and an inbox for incoming information. Includes tools for memory file management and structured memory operations to maintain context across conversations.", "homepage_url": null, - "source_code_url": "https://github.com/aarushkx/covid-mcp-server", + "source_code_url": "https://github.com/abhinavkalyan10/personal-context-mcp", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6406,15 +6406,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2404, - "url": "https://www.pulsemcp.com/servers/abrasio", - "name": "Abrasio", - "description": "Exposes Abrasio's browser automation capabilities to AI agents with built-in anti-detection fingerprinting. Provides 15 tools covering navigation, screenshots, clicking, form input, and JavaScript execution. Supports local operation using a standard browser and cloud operation with residential IP infrastructure. Installable via pip.", + "id": 2320, + "url": "https://www.pulsemcp.com/servers/a2amarket-clamav", + "name": "ClamAV Virus Scanner", + "description": "ClamAV MCP provides virus scanning capabilities for files by integrating with the ClamAV antivirus engine. This implementation allows AI assistants to scan files for malware by accepting base64-encoded file data and returning scan results through a simple API endpoint. The server runs as a FastMCP instance that processes scan requests, temporarily stores files for scanning, and executes the clamscan command with proper error handling and cleanup. Particularly useful for security-focused applications that need to validate file safety before processing.", "homepage_url": null, - "source_code_url": "https://github.com/scrape-technology/abrasio-mcp", + "source_code_url": "https://github.com/a2amarket/mcp-clamav", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6422,15 +6422,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2184, - "url": "https://www.pulsemcp.com/servers/402index", - "name": "402 Index", - "description": "402 Index is a protocol-agnostic directory of paid APIs for AI agents. Provides searchable access to over 15,000 endpoints across L402 (Lightning Bitcoin micropayments), x402 (USDC stablecoin payments), and MPP (Stripe/Tempo fiat payments). Each endpoint includes hourly health checks, latency measurements, and reliability scoring. Enables agents to discover and evaluate paid APIs across multiple payment protocols before committing funds.", - "homepage_url": "https://402index.io", - "source_code_url": "https://github.com/ryanthegentry/402index-mcp-server", + "id": 2186, + "url": "https://www.pulsemcp.com/servers/40ants-lisp-dev", + "name": "Lisp Development", + "description": "Provides direct access to a running Common Lisp image for evaluating arbitrary Lisp expressions, returning multiple values, output streams, and detailed error backtraces for interactive development and debugging.", + "homepage_url": null, + "source_code_url": "https://github.com/40ants/lisp-dev-mcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6438,15 +6438,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2152, - "url": "https://www.pulsemcp.com/servers/2051project-cryptoweather", - "name": "CryptoWeather", - "description": "This MCP server provides AI assistants with access to CryptoWeather's Bitcoin price prediction signals through four specialized tools for retrieving current signals, trading recommendations, performance metrics, and signal methodology information. Built by the CryptoWeather Team using Python with FastMCP and requests, it connects to the CryptoWeather API at cryptoweather.xyz to deliver AI-powered Bitcoin trading insights including position clarity, profit information, and detailed trading advice with buy/sell/hold recommendations. The implementation includes configurable debug mode and API endpoint settings through Smithery configuration, making it valuable for traders seeking AI-driven Bitcoin market analysis, developers building cryptocurrency trading bots, and AI assistants requiring programmatic access to quantitative trading signals without manual market research.", - "homepage_url": "https://cryptoweather.xyz", - "source_code_url": "https://github.com/2051project/cryptoweather", + "id": 2124, + "url": "https://www.pulsemcp.com/servers/0xmihirk-hercules", + "name": "Hercules", + "description": "An MCP server for penetration testing workflows using containerized Kali Linux environments. Provides tools to run Nmap, Metasploit, SQLMap, and John the Ripper in ephemeral Docker containers with a persistent workspace.", + "homepage_url": null, + "source_code_url": "https://github.com/0xmihirk/hercules-mcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6454,15 +6454,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2143, - "url": "https://www.pulsemcp.com/servers/1ly-store", - "name": "1ly Store", - "description": "Enables AI agents to operate on the 1ly.store marketplace, discovering and paying for APIs using the x402 protocol with USDC on Solana and Base networks. Supports both buying (search, call, review APIs) and selling (create stores, list endpoints, manage pricing, withdraw earnings). Includes token launching and trading on Bags.fm with fee share claiming. Features budget guardrails, Coinbase Agentic Wallet support, and DCP secure signing.", - "homepage_url": "https://1ly.store", - "source_code_url": "https://github.com/1lystore/1ly-mcp-server", + "id": 2138, + "url": "https://www.pulsemcp.com/servers/156554395-doubao-image-video", + "name": "Doubao Image Video", + "description": "Provides image and video generation capabilities through integration with ByteDance's Doubao platform. Supports image creation using Seedream models with customizable sizes and reference image guidance, video generation with configurable duration, frame rate, and resolution using Seedance models, and task status querying for asynchronous video operations.", + "homepage_url": null, + "source_code_url": "https://github.com/156554395/doubao-image-video-mcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6470,7 +6470,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2142, @@ -6486,15 +6486,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2162, - "url": "https://www.pulsemcp.com/servers/29decibel-record-to-markdown", - "name": "Claude Conversations to Markdown", - "description": "This Record to Markdown MCP implementation, developed by 29decibel, provides a Python-based interface for AI assistants to save conversation content to markdown files or Apple Notes. Built using libraries like httpx, markdown2, and mcp, it offers tools for converting markdown to HTML and creating notes with AppleScript integration. The implementation focuses on efficient content preservation and formatting, making it easier for AI models to store and organize conversation outputs. It's particularly useful for users of Claude desktop who want to automatically save their AI interactions, enabling easy reference, sharing, or further analysis of conversation content without manual copying and pasting.", - "homepage_url": null, - "source_code_url": "https://github.com/29decibel/record-to-markdown", + "id": 2143, + "url": "https://www.pulsemcp.com/servers/1ly-store", + "name": "1ly Store", + "description": "Enables AI agents to operate on the 1ly.store marketplace, discovering and paying for APIs using the x402 protocol with USDC on Solana and Base networks. Supports both buying (search, call, review APIs) and selling (create stores, list endpoints, manage pricing, withdraw earnings). Includes token launching and trading on Bags.fm with fee share claiming. Features budget guardrails, Coinbase Agentic Wallet support, and DCP secure signing.", + "homepage_url": "https://1ly.store", + "source_code_url": "https://github.com/1lystore/1ly-mcp-server", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6502,15 +6502,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2386, - "url": "https://www.pulsemcp.com/servers/abhirockzz-kusto", - "name": "Azure Data Explorer (Kusto)", - "description": "An MCP server for Azure Data Explorer (Kusto) that enables AI assistants to interact with Kusto clusters through the Azure SDK for Go. It provides tools for listing databases, tables, retrieving table schemas, and executing KQL queries against Azure Data Explorer databases. The implementation uses DefaultAzureCredential for authentication, making it secure and simple to use with local developer credentials or service principals. Ideal for data analysts and engineers who want to leverage AI assistants for exploring and analyzing data in Azure Data Explorer clusters.", - "homepage_url": null, - "source_code_url": "https://github.com/abhirockzz/mcp_kusto", + "id": 2152, + "url": "https://www.pulsemcp.com/servers/2051project-cryptoweather", + "name": "CryptoWeather", + "description": "This MCP server provides AI assistants with access to CryptoWeather's Bitcoin price prediction signals through four specialized tools for retrieving current signals, trading recommendations, performance metrics, and signal methodology information. Built by the CryptoWeather Team using Python with FastMCP and requests, it connects to the CryptoWeather API at cryptoweather.xyz to deliver AI-powered Bitcoin trading insights including position clarity, profit information, and detailed trading advice with buy/sell/hold recommendations. The implementation includes configurable debug mode and API endpoint settings through Smithery configuration, making it valuable for traders seeking AI-driven Bitcoin market analysis, developers building cryptocurrency trading bots, and AI assistants requiring programmatic access to quantitative trading signals without manual market research.", + "homepage_url": "https://cryptoweather.xyz", + "source_code_url": "https://github.com/2051project/cryptoweather", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6518,15 +6518,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2181, - "url": "https://www.pulsemcp.com/servers/3vening-gmail", - "name": "Gmail", - "description": "An MCP server for managing multiple Gmail accounts from a single AI conversation. Supports search, read, draft, send, archive, label management, and attachment handling. OAuth credentials are stored securely in the OS keychain, and each user creates their own Google Cloud OAuth project to avoid sharing credentials. Includes a draft-then-confirm workflow before sending.", + "id": 2162, + "url": "https://www.pulsemcp.com/servers/29decibel-record-to-markdown", + "name": "Claude Conversations to Markdown", + "description": "This Record to Markdown MCP implementation, developed by 29decibel, provides a Python-based interface for AI assistants to save conversation content to markdown files or Apple Notes. Built using libraries like httpx, markdown2, and mcp, it offers tools for converting markdown to HTML and creating notes with AppleScript integration. The implementation focuses on efficient content preservation and formatting, making it easier for AI models to store and organize conversation outputs. It's particularly useful for users of Claude desktop who want to automatically save their AI interactions, enabling easy reference, sharing, or further analysis of conversation content without manual copying and pasting.", "homepage_url": null, - "source_code_url": "https://github.com/3vening/gmail-mcp", + "source_code_url": "https://github.com/29decibel/record-to-markdown", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6534,15 +6534,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2138, - "url": "https://www.pulsemcp.com/servers/156554395-doubao-image-video", - "name": "Doubao Image Video", - "description": "Provides image and video generation capabilities through integration with ByteDance's Doubao platform. Supports image creation using Seedream models with customizable sizes and reference image guidance, video generation with configurable duration, frame rate, and resolution using Seedance models, and task status querying for asynchronous video operations.", + "id": 2175, + "url": "https://www.pulsemcp.com/servers/3dcreationsbychad-fusion360-cam-assistant", + "name": "Fusion 360 CAM Assistant", + "description": "Provides intelligent CAM (Computer-Aided Manufacturing) assistance for Fusion 360 by analyzing part geometry to suggest optimal machining strategies, stock setup, and toolpath operations. Uses Fusion's native RecognizedHole and RecognizedPocket APIs to detect machinable features with confidence scoring, classifies slots vs pockets using aspect ratio heuristics, and groups features by machining priority. Includes SQLite-based preference learning that improves recommendations over time, orientation analysis with setup sequences, minimum tool radius calculations, and feeds/speeds suggestions based on material properties and industry formulas.", "homepage_url": null, - "source_code_url": "https://github.com/156554395/doubao-image-video-mcp", + "source_code_url": "https://github.com/3dcreationsbychad/fusion360-cam-assistant", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6550,7 +6550,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2179, @@ -6566,15 +6566,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2434, - "url": "https://www.pulsemcp.com/servers/achatainga-code-context", - "name": "Code Context", - "description": "This MCP server extracts structural information from codebases at the symbol level—functions, classes, and methods—rather than sending raw files, achieving 50–80% token reduction. It provides eleven tools split between read operations (semantic repo maps, surgical file reading, impact analysis, line-range reading, pattern search, rollback) and write operations (symbol-level insertion, renaming, removal, and surgical replacement). Uses SQLite caching and supports TypeScript, JavaScript, Python, PHP, and Dart.", + "id": 2181, + "url": "https://www.pulsemcp.com/servers/3vening-gmail", + "name": "Gmail", + "description": "An MCP server for managing multiple Gmail accounts from a single AI conversation. Supports search, read, draft, send, archive, label management, and attachment handling. OAuth credentials are stored securely in the OS keychain, and each user creates their own Google Cloud OAuth project to avoid sharing credentials. Includes a draft-then-confirm workflow before sending.", "homepage_url": null, - "source_code_url": "https://github.com/achatainga/mcp-code-context", + "source_code_url": "https://github.com/3vening/gmail-mcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6582,15 +6582,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2320, - "url": "https://www.pulsemcp.com/servers/a2amarket-clamav", - "name": "ClamAV Virus Scanner", - "description": "ClamAV MCP provides virus scanning capabilities for files by integrating with the ClamAV antivirus engine. This implementation allows AI assistants to scan files for malware by accepting base64-encoded file data and returning scan results through a simple API endpoint. The server runs as a FastMCP instance that processes scan requests, temporarily stores files for scanning, and executes the clamscan command with proper error handling and cleanup. Particularly useful for security-focused applications that need to validate file safety before processing.", - "homepage_url": null, - "source_code_url": "https://github.com/a2amarket/mcp-clamav", + "id": 2184, + "url": "https://www.pulsemcp.com/servers/402index", + "name": "402 Index", + "description": "402 Index is a protocol-agnostic directory of paid APIs for AI agents. Provides searchable access to over 15,000 endpoints across L402 (Lightning Bitcoin micropayments), x402 (USDC stablecoin payments), and MPP (Stripe/Tempo fiat payments). Each endpoint includes hourly health checks, latency measurements, and reliability scoring. Enables agents to discover and evaluate paid APIs across multiple payment protocols before committing funds.", + "homepage_url": "https://402index.io", + "source_code_url": "https://github.com/ryanthegentry/402index-mcp-server", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6598,7 +6598,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2326, @@ -6614,7 +6614,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2327, @@ -6630,15 +6630,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2124, - "url": "https://www.pulsemcp.com/servers/0xmihirk-hercules", - "name": "Hercules", - "description": "An MCP server for penetration testing workflows using containerized Kali Linux environments. Provides tools to run Nmap, Metasploit, SQLMap, and John the Ripper in ephemeral Docker containers with a persistent workspace.", + "id": 2355, + "url": "https://www.pulsemcp.com/servers/aaryan-kapoor-character-tools", + "name": "Character Tools", + "description": "Addresses the fundamental challenge LLMs face with character-level operations due to tokenization by providing precise tools for counting letters, analyzing character frequencies, spelling words character-by-character, accessing characters by position, and comparing text strings. Includes a curated database of commonly miscounted words like 'strawberry' and 'mississippi' along with visual breakdowns and batch processing capabilities for improved accuracy in tasks requiring exact character-level precision.", "homepage_url": null, - "source_code_url": "https://github.com/0xmihirk/hercules-mcp", + "source_code_url": "https://github.com/aaryan-kapoor/mcp-character-tools", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6646,15 +6646,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2175, - "url": "https://www.pulsemcp.com/servers/3dcreationsbychad-fusion360-cam-assistant", - "name": "Fusion 360 CAM Assistant", - "description": "Provides intelligent CAM (Computer-Aided Manufacturing) assistance for Fusion 360 by analyzing part geometry to suggest optimal machining strategies, stock setup, and toolpath operations. Uses Fusion's native RecognizedHole and RecognizedPocket APIs to detect machinable features with confidence scoring, classifies slots vs pockets using aspect ratio heuristics, and groups features by machining priority. Includes SQLite-based preference learning that improves recommendations over time, orientation analysis with setup sequences, minimum tool radius calculations, and feeds/speeds suggestions based on material properties and industry formulas.", + "id": 2367, + "url": "https://www.pulsemcp.com/servers/abdessamad-elamrani-malware-analyzer", + "name": "Malware Analyzer", + "description": "MalwareAnalyzerMCP provides specialized terminal access for malware analysis through the Model Context Protocol. Developed by Abdessamad El Amrani, it implements a configuration-driven approach that exposes common malware analysis tools like 'strings', 'file', 'hexdump', 'objdump', and 'xxd' as structured commands with parameter validation. The server manages terminal processes with timeout handling and output buffering, making it ideal for security researchers who need to analyze suspicious files directly within Claude Desktop without switching to external tools.", "homepage_url": null, - "source_code_url": "https://github.com/3dcreationsbychad/fusion360-cam-assistant", + "source_code_url": "https://github.com/abdessamad-elamrani/malwareanalyzermcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6662,15 +6662,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2367, - "url": "https://www.pulsemcp.com/servers/abdessamad-elamrani-malware-analyzer", - "name": "Malware Analyzer", - "description": "MalwareAnalyzerMCP provides specialized terminal access for malware analysis through the Model Context Protocol. Developed by Abdessamad El Amrani, it implements a configuration-driven approach that exposes common malware analysis tools like 'strings', 'file', 'hexdump', 'objdump', and 'xxd' as structured commands with parameter validation. The server manages terminal processes with timeout handling and output buffering, making it ideal for security researchers who need to analyze suspicious files directly within Claude Desktop without switching to external tools.", + "id": 2386, + "url": "https://www.pulsemcp.com/servers/abhirockzz-kusto", + "name": "Azure Data Explorer (Kusto)", + "description": "An MCP server for Azure Data Explorer (Kusto) that enables AI assistants to interact with Kusto clusters through the Azure SDK for Go. It provides tools for listing databases, tables, retrieving table schemas, and executing KQL queries against Azure Data Explorer databases. The implementation uses DefaultAzureCredential for authentication, making it secure and simple to use with local developer credentials or service principals. Ideal for data analysts and engineers who want to leverage AI assistants for exploring and analyzing data in Azure Data Explorer clusters.", "homepage_url": null, - "source_code_url": "https://github.com/abdessamad-elamrani/malwareanalyzermcp", + "source_code_url": "https://github.com/abhirockzz/mcp_kusto", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6678,15 +6678,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2355, - "url": "https://www.pulsemcp.com/servers/aaryan-kapoor-character-tools", - "name": "Character Tools", - "description": "Addresses the fundamental challenge LLMs face with character-level operations due to tokenization by providing precise tools for counting letters, analyzing character frequencies, spelling words character-by-character, accessing characters by position, and comparing text strings. Includes a curated database of commonly miscounted words like 'strawberry' and 'mississippi' along with visual breakdowns and batch processing capabilities for improved accuracy in tasks requiring exact character-level precision.", + "id": 2404, + "url": "https://www.pulsemcp.com/servers/abrasio", + "name": "Abrasio", + "description": "Exposes Abrasio's browser automation capabilities to AI agents with built-in anti-detection fingerprinting. Provides 15 tools covering navigation, screenshots, clicking, form input, and JavaScript execution. Supports local operation using a standard browser and cloud operation with residential IP infrastructure. Installable via pip.", "homepage_url": null, - "source_code_url": "https://github.com/aaryan-kapoor/mcp-character-tools", + "source_code_url": "https://github.com/scrape-technology/abrasio-mcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6694,7 +6694,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2416, @@ -6710,15 +6710,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2186, - "url": "https://www.pulsemcp.com/servers/40ants-lisp-dev", - "name": "Lisp Development", - "description": "Provides direct access to a running Common Lisp image for evaluating arbitrary Lisp expressions, returning multiple values, output streams, and detailed error backtraces for interactive development and debugging.", + "id": 2434, + "url": "https://www.pulsemcp.com/servers/achatainga-code-context", + "name": "Code Context", + "description": "This MCP server extracts structural information from codebases at the symbol level—functions, classes, and methods—rather than sending raw files, achieving 50–80% token reduction. It provides eleven tools split between read operations (semantic repo maps, surgical file reading, impact analysis, line-range reading, pattern search, rollback) and write operations (symbol-level insertion, renaming, removal, and surgical replacement). Uses SQLite caching and supports TypeScript, JavaScript, Python, PHP, and Dart.", "homepage_url": null, - "source_code_url": "https://github.com/40ants/lisp-dev-mcp", + "source_code_url": "https://github.com/achatainga/mcp-code-context", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6726,7 +6726,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2445, @@ -6742,7 +6742,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2390, @@ -6758,7 +6758,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2376, @@ -6774,23 +6774,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" - }, - { - "id": 2423, - "url": "https://www.pulsemcp.com/servers/acedatacloud-seedance", - "name": "AceDataCloud Seedance", - "description": "Generate AI videos using ByteDance Seedance models through the AceDataCloud unified API platform. Supports text-to-video and image-to-video generation. Available as a hosted service or self-hosted via PyPI.", - "homepage_url": "https://seedance.mcp.acedata.cloud", - "source_code_url": "https://github.com/acedatacloud/seedancemcp", - "github_stars": 2, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": "https://seedance.mcp.acedata.cloud/mcp", - "is_remote": true, - "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2107, @@ -6806,15 +6790,15 @@ "remote_url": "https://mcp.0latency.ai/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2112, - "url": "https://www.pulsemcp.com/servers/0xadvait-team-manager", - "name": "Team Manager", - "description": "Team Manager is an MCP server that provides a MongoDB-backed control plane for multi-agent orchestration. It converts tasks into governed specialist rooms, allocates token budgets, manages shared context, and maintains audit trails. The server provides 17+ tools covering team onboarding, room planning and dispatch, source registration, shared blackboard, scoped memory, agent checkpointing, and auditable result emission, with approval workflow support and Bright Data source integration.", + "id": 2436, + "url": "https://www.pulsemcp.com/servers/achetronic-browse", + "name": "Browse", + "description": "Gives AI assistants controlled internet access through three tools: web search (via DuckDuckGo, Tavily, or Serper), page fetching with HTML-to-text conversion, and file downloading. Built in Go with a comprehensive security stack including JWT validation against JWKS endpoints, CEL expression-based tool and URL policies, and access logging with header redaction. Supports both stdio and HTTP transport modes with Docker deployment, making it suitable for enterprise environments requiring fine-grained control over which domains and tools each user can access.", "homepage_url": null, - "source_code_url": "https://github.com/0xadvait/team-manager-mcp", + "source_code_url": "https://github.com/achetronic/browse-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6822,15 +6806,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2137, - "url": "https://www.pulsemcp.com/servers/1425sd-spine-animation", - "name": "Spine Animation", - "description": "Spine Animation wraps the official Spine CLI to enable AI-driven automation of 2D skeletal animation workflows. Tools cover exporting and importing animations, generating JSON animation data, analyzing skeleton structures, and applying presets. Requires a local Spine installation (tested against v3.8.75) and runs via stdio. Windows-only due to Spine CLI platform constraints.", + "id": 2435, + "url": "https://www.pulsemcp.com/servers/acheong08-synthetic-search", + "name": "Synthetic Search", + "description": "Provides web search capabilities through the Synthetic Search API, returning structured results with titles, URLs, descriptions, and publication dates for queries up to 400 characters. Integrates with the Synthetic Search API as an MCP server to enable AI assistants to perform real-time web searches.", "homepage_url": null, - "source_code_url": "https://github.com/1425sd/spine-mcp", + "source_code_url": "https://github.com/acheong08/synthetic-search-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6838,15 +6822,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2155, - "url": "https://www.pulsemcp.com/servers/21stdev-magic-ui-generator", - "name": "Magic (21st.dev UI Generator)", - "description": "Magic MCP Server provides a bridge to 21st.dev's Magic API, enabling AI assistants to generate UI components and search for logos. Developed by serafim@21st.dev, this TypeScript implementation offers three specialized tools: creating UI components from descriptions, fetching existing components for inspiration, and searching for company logos in various formats (SVG, JSX, TSX). The server authenticates with the 21st.dev API using an API key and is designed to be easily integrated with AI clients like Cline and Windsurf through Smithery. Ideal for developers who want to quickly generate or find UI components and brand assets without leaving their AI assistant workflow.", - "homepage_url": "https://21st.dev/magic", - "source_code_url": "https://github.com/oyasimi1209/magic-mcp", + "id": 2423, + "url": "https://www.pulsemcp.com/servers/acedatacloud-seedance", + "name": "AceDataCloud Seedance", + "description": "Generate AI videos using ByteDance Seedance models through the AceDataCloud unified API platform. Supports text-to-video and image-to-video generation. Available as a hosted service or self-hosted via PyPI.", + "homepage_url": "https://seedance.mcp.acedata.cloud", + "source_code_url": "https://github.com/acedatacloud/seedancemcp", + "github_stars": 2, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": "https://seedance.mcp.acedata.cloud/mcp", + "is_remote": true, + "source": "pulsemcp", + "updated_at": "2026-05-30T14:13:14.511952+00:00" + }, + { + "id": 2415, + "url": "https://www.pulsemcp.com/servers/academic-author-network", + "name": "Academic Author Network", + "description": "This MCP server provides academic author network analysis by aggregating data from multiple scholarly sources including Semantic Scholar, OpenAlex, Crossref, and Google Scholar to find co-authors and research keywords for academic researchers. Built by Alperen Kocyigit, it offers two core tools: co-author discovery that identifies research collaborators with collaboration frequency counts, and keyword extraction that scrapes Google Scholar profiles to retrieve research interests and areas of expertise. The implementation features intelligent rate limiting across APIs, caching to reduce redundant requests, parallel data fetching for performance, and respectful web scraping with delays, making it valuable for academic research analysis, collaboration mapping, and understanding research networks in scholarly communities.", + "homepage_url": null, + "source_code_url": "https://github.com/alperenkocyigit/authorprofilemcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6854,15 +6854,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2157, - "url": "https://www.pulsemcp.com/servers/23f2005639-mcpgen", - "name": "mcpgen", - "description": "A command-line tool and MCP server generator that takes a URL pointing to API documentation or a website and automatically generates a working MCP server. Uses Firecrawl for content extraction and LLM analysis to produce either HTTP client code or Playwright browser automation. Supports multiple LLM providers via LiteLLM.", + "id": 2344, + "url": "https://www.pulsemcp.com/servers/aaronroef-apple", + "name": "Apple Apps", + "description": "Exposes 28 read/write tools for core macOS Apple applications—Notes, Reminders, Calendar, Contacts, and Safari—running entirely locally without network requests or API keys. Uses SQLite and JavaScript for Automation (JXA) to read and write application data directly. Installable via npm and configured through Claude Desktop.", "homepage_url": null, - "source_code_url": "https://github.com/23f2005639/mcp_ai", + "source_code_url": "https://github.com/aaronroef/apple-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6870,15 +6870,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2159, - "url": "https://www.pulsemcp.com/servers/2501-ai-vmware-vsphere", - "name": "VMware vSphere", - "description": "Provides direct access to VMware vSphere environments through the govc command-line tool. Exposes 55 typed tools organized across VM lifecycle management, snapshots, datastores, networking, vSAN, and session handling, with additional meta-tools for fuzzy command search and an escape hatch for arbitrary govc commands. Built with TypeScript and Bun, it includes Docker containerization for both ephemeral and persistent deployment modes, command sanitization, and token-efficient output formatting via TOON with automatic JSON fallback.", - "homepage_url": "https://github.com/2501-ai/vmware-mcp", - "source_code_url": "https://github.com/2501-ai/vmware-mcp", + "id": 2112, + "url": "https://www.pulsemcp.com/servers/0xadvait-team-manager", + "name": "Team Manager", + "description": "Team Manager is an MCP server that provides a MongoDB-backed control plane for multi-agent orchestration. It converts tasks into governed specialist rooms, allocates token budgets, manages shared context, and maintains audit trails. The server provides 17+ tools covering team onboarding, room planning and dispatch, source registration, shared blackboard, scoped memory, agent checkpointing, and auditable result emission, with approval workflow support and Bright Data source integration.", + "homepage_url": null, + "source_code_url": "https://github.com/0xadvait/team-manager-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6886,15 +6886,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2161, - "url": "https://www.pulsemcp.com/servers/2975647277-xiaohongshu", - "name": "Xiaohongshu", - "description": "This MCP server provides automation for the Xiaohongshu (小红书, Little Red Book) social media platform. It offers 13 tools covering QR-code-based login, note publishing with text and images, feed searching, liking, commenting, and user profile access. Content generation uses AI-powered writing with a personalized style, and cover images are rendered from HTML templates. Supports deployment as a web UI, MCP client, or command-line automation tool.", + "id": 2448, + "url": "https://www.pulsemcp.com/servers/acrolinx-nextgen", + "name": "Acrolinx NextGen", + "description": "This MCP server integrates with Acrolinx's NextGen API to provide AI assistants with professional text analysis and improvement capabilities, built by Acrolinx using TypeScript with comprehensive workflow management including retry logic, timeout handling, and polling mechanisms. The implementation offers four core tools: automated text rewriting that transforms content while maintaining style guide compliance, quality analysis that provides detailed scores across grammar/clarity/tone dimensions, targeted editing suggestions for manual improvements, and workflow status checking for asynchronous operations. Supporting multiple style guides (AP, Chicago, Microsoft, Proofpoint), language dialects, and tone settings with configurable parameters for text length limits and API timeouts, it serves content teams needing automated editing workflows, technical writers requiring style guide enforcement, and organizations wanting to integrate enterprise-grade writing assistance into their AI-powered content creation processes.", "homepage_url": null, - "source_code_url": "https://github.com/2975647277/xiaohongshu-mcp", + "source_code_url": "https://github.com/acrolinx/nextgen-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6902,15 +6902,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2173, - "url": "https://www.pulsemcp.com/servers/3351163616-pdf-reader", - "name": "PDF Reader", - "description": "Processes PDF documents with intelligent type detection, extracting text from both text-based and scanned documents. Integrates pdf-parse, pdf-lib, and pdf-to-png-converter with Baidu OCR API for multilingual document recognition. Provides text extraction with page range support, full-text search with regex capabilities, metadata extraction, and automatic fallback from text extraction to OCR when needed. Useful for document processing pipelines, content analysis systems, and AI-assisted document review workflows.", + "id": 2400, + "url": "https://www.pulsemcp.com/servers/abossard-ledfx", + "name": "LedFX", + "description": "Provides comprehensive control over LedFX LED lighting systems through a TypeScript-based MCP server that bridges natural language commands to the LedFX REST API. Features an extensive color library with named colors and gradients, intelligent scene parsing that converts descriptions into proper effect configurations, and local SQLite storage for custom palettes and playlists. Includes effect recommendations based on mood and context, detailed explanations of LedFX concepts like virtuals and audio-reactive effects, and support for all major LedFX operations including device management, effect control, and scene creation.", "homepage_url": null, - "source_code_url": "https://github.com/3351163616/mcp_pdf_reader", + "source_code_url": "https://github.com/abossard/ledfx-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6918,15 +6918,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2174, - "url": "https://www.pulsemcp.com/servers/3akhp-prts", - "name": "PRTS", - "description": "PRTS connects AI agents to the Arknights PRTS Wiki API, providing tools for searching wiki articles, retrieving operator archives and voice lines, browsing story events, and performing full-text regex searches across in-game dialogue. Two implementations are available: Python via stdio for local use with Claude Desktop and Claude Code, and TypeScript with HTTP transport for self-hosted remote access. Published to both PyPI and npm.", + "id": 2397, + "url": "https://www.pulsemcp.com/servers/aboglioli-orchy", + "name": "Orchy", + "description": "Delivers a coordination layer for AI agent systems with 71 MCP tools over Streamable HTTP, enabling agents to share task boards, knowledge bases with semantic search, messaging channels, distributed resource locks, and graph-based relationship modeling. Built in Rust with SQLite or PostgreSQL backend, includes a web dashboard and Docker Compose setup. Designed for multi-agent projects requiring shared state and coordination without embedding intelligence in the infrastructure.", "homepage_url": null, - "source_code_url": "https://github.com/3akhp/prts-mcp", + "source_code_url": "https://github.com/aboglioli/orchy", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6934,15 +6934,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2195, - "url": "https://www.pulsemcp.com/servers/5pence-safe-wallet", - "name": "Safe Wallet", - "description": "This Safe MCP server, developed by 5pence, enables interaction with Safe (formerly Gnosis Safe) smart contract wallets through the Model Context Protocol. Built with TypeScript and leveraging the MCP SDK, it provides tools for querying Safe transactions, retrieving multisig transaction details, and decoding transaction data. The implementation focuses on simplifying access to Safe's functionality through a standardized interface, with default integration to the Safe Transaction API mainnet endpoint. It's particularly useful for developers and AI models needing to interact with Safe wallets, enabling use cases like transaction monitoring, multisig management, and smart contract interaction analysis without dealing directly with blockchain complexities.", + "id": 2349, + "url": "https://www.pulsemcp.com/servers/aaronsb-jira-insights", + "name": "Jira Insights", + "description": "Jira Insights MCP provides tools for managing Jira Insights (JSM) asset schemas through the Model Context Protocol. Built by aaronsb, it enables CRUD operations on object schemas, object types, and objects in Jira Insights, with support for AQL (Atlassian Query Language) queries. The implementation is containerized with Docker for easy deployment and requires Jira API credentials for authentication. This server is particularly valuable for teams that need to programmatically manage their Jira Insights assets without leaving the conversation interface, streamlining workflows for IT asset management and configuration tracking.", "homepage_url": null, - "source_code_url": "https://github.com/5ajaki/safe-mcp-server", + "source_code_url": "https://github.com/aaronsb/jira-insights-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6950,15 +6950,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2198, - "url": "https://www.pulsemcp.com/servers/6hdj-notificationmcp", - "name": "Notification", - "description": "Runs as an on-device Android MCP server on port 8765 using streamable HTTP transport. Enables AI agents to read, filter, and manage phone notifications from Android 11+ devices with sensitive data masking and 22 diagnostic health checks.", + "id": 2195, + "url": "https://www.pulsemcp.com/servers/5pence-safe-wallet", + "name": "Safe Wallet", + "description": "This Safe MCP server, developed by 5pence, enables interaction with Safe (formerly Gnosis Safe) smart contract wallets through the Model Context Protocol. Built with TypeScript and leveraging the MCP SDK, it provides tools for querying Safe transactions, retrieving multisig transaction details, and decoding transaction data. The implementation focuses on simplifying access to Safe's functionality through a standardized interface, with default integration to the Safe Transaction API mainnet endpoint. It's particularly useful for developers and AI models needing to interact with Safe wallets, enabling use cases like transaction monitoring, multisig management, and smart contract interaction analysis without dealing directly with blockchain complexities.", "homepage_url": null, - "source_code_url": "https://github.com/6hdj/notificationmcp", + "source_code_url": "https://github.com/5ajaki/safe-mcp-server", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6966,15 +6966,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2344, - "url": "https://www.pulsemcp.com/servers/aaronroef-apple", - "name": "Apple Apps", - "description": "Exposes 28 read/write tools for core macOS Apple applications—Notes, Reminders, Calendar, Contacts, and Safari—running entirely locally without network requests or API keys. Uses SQLite and JavaScript for Automation (JXA) to read and write application data directly. Installable via npm and configured through Claude Desktop.", + "id": 2396, + "url": "https://www.pulsemcp.com/servers/abnersajr-readedit", + "name": "ReadEdit", + "description": "ReadEdit provides four MCP tools that batch file reading and editing operations into single calls, cutting token overhead by 80-95% for workflows requiring simultaneous access to multiple files. It targets multi-file refactoring and code review tasks where repeated individual file reads would otherwise consume excessive context window tokens.", "homepage_url": null, - "source_code_url": "https://github.com/aaronroef/apple-mcp", + "source_code_url": "https://github.com/abnersajr/mcp-readedit", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6982,15 +6982,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2349, - "url": "https://www.pulsemcp.com/servers/aaronsb-jira-insights", - "name": "Jira Insights", - "description": "Jira Insights MCP provides tools for managing Jira Insights (JSM) asset schemas through the Model Context Protocol. Built by aaronsb, it enables CRUD operations on object schemas, object types, and objects in Jira Insights, with support for AQL (Atlassian Query Language) queries. The implementation is containerized with Docker for easy deployment and requires Jira API credentials for authentication. This server is particularly valuable for teams that need to programmatically manage their Jira Insights assets without leaving the conversation interface, streamlining workflows for IT asset management and configuration tracking.", + "id": 2137, + "url": "https://www.pulsemcp.com/servers/1425sd-spine-animation", + "name": "Spine Animation", + "description": "Spine Animation wraps the official Spine CLI to enable AI-driven automation of 2D skeletal animation workflows. Tools cover exporting and importing animations, generating JSON animation data, analyzing skeleton structures, and applying presets. Requires a local Spine installation (tested against v3.8.75) and runs via stdio. Windows-only due to Spine CLI platform constraints.", "homepage_url": null, - "source_code_url": "https://github.com/aaronsb/jira-insights-mcp", + "source_code_url": "https://github.com/1425sd/spine-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6998,15 +6998,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2330, - "url": "https://www.pulsemcp.com/servers/aahl-okx", - "name": "OKX", - "description": "Integrates with OKX cryptocurrency exchange to provide account management, trading operations, and market data access. Supports configuration retrieval, balance checking, position viewing, order placement and cancellation, order history, and cryptocurrency ranking information through ticker data.", - "homepage_url": "https://github.com/aahl/mcp-okx", - "source_code_url": "https://github.com/aahl/mcp-okx", + "id": 2155, + "url": "https://www.pulsemcp.com/servers/21stdev-magic-ui-generator", + "name": "Magic (21st.dev UI Generator)", + "description": "Magic MCP Server provides a bridge to 21st.dev's Magic API, enabling AI assistants to generate UI components and search for logos. Developed by serafim@21st.dev, this TypeScript implementation offers three specialized tools: creating UI components from descriptions, fetching existing components for inspiration, and searching for company logos in various formats (SVG, JSX, TSX). The server authenticates with the 21st.dev API using an API key and is designed to be easily integrated with AI clients like Cline and Windsurf through Smithery. Ideal for developers who want to quickly generate or find UI components and brand assets without leaving their AI assistant workflow.", + "homepage_url": "https://21st.dev/magic", + "source_code_url": "https://github.com/oyasimi1209/magic-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7014,15 +7014,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2368, - "url": "https://www.pulsemcp.com/servers/abdoosalomov-jira", - "name": "Jira", - "description": "Enables AI assistants to interact with self-hosted Jira installations, supporting issue creation, retrieval, and project tracking. Built for organizations running on-premises Jira, such as Agrobank's deployment, using Node.js with stdio transport. Exposes Jira's core workflows through the MCP protocol.", + "id": 2157, + "url": "https://www.pulsemcp.com/servers/23f2005639-mcpgen", + "name": "mcpgen", + "description": "A command-line tool and MCP server generator that takes a URL pointing to API documentation or a website and automatically generates a working MCP server. Uses Firecrawl for content extraction and LLM analysis to produce either HTTP client code or Playwright browser automation. Supports multiple LLM providers via LiteLLM.", "homepage_url": null, - "source_code_url": "https://github.com/abdoosalomov/jira-mcp", + "source_code_url": "https://github.com/23f2005639/mcp_ai", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7030,15 +7030,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2370, - "url": "https://www.pulsemcp.com/servers/abdushakurob-squadco", - "name": "SquadCo", - "description": "This MCP server gives AI coding tools like Claude and Cursor direct access to SquadCo's payment API documentation through four structured tools: search, list, get structure, and resolve section. SquadCo is a Nigerian fintech platform (powered by GTCO/GTBank) offering payment processing, virtual accounts, fund transfers, and value-added services. The server uses CiteKit for structural documentation mapping to enable precise API specification retrieval without traditional vector-based RAG.", - "homepage_url": null, - "source_code_url": "https://github.com/abdushakurob/squadco-mcp", + "id": 2159, + "url": "https://www.pulsemcp.com/servers/2501-ai-vmware-vsphere", + "name": "VMware vSphere", + "description": "Provides direct access to VMware vSphere environments through the govc command-line tool. Exposes 55 typed tools organized across VM lifecycle management, snapshots, datastores, networking, vSAN, and session handling, with additional meta-tools for fuzzy command search and an escape hatch for arbitrary govc commands. Built with TypeScript and Bun, it includes Docker containerization for both ephemeral and persistent deployment modes, command sanitization, and token-efficient output formatting via TOON with automatic JSON fallback.", + "homepage_url": "https://github.com/2501-ai/vmware-mcp", + "source_code_url": "https://github.com/2501-ai/vmware-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7046,7 +7046,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2373, @@ -7062,15 +7062,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2396, - "url": "https://www.pulsemcp.com/servers/abnersajr-readedit", - "name": "ReadEdit", - "description": "ReadEdit provides four MCP tools that batch file reading and editing operations into single calls, cutting token overhead by 80-95% for workflows requiring simultaneous access to multiple files. It targets multi-file refactoring and code review tasks where repeated individual file reads would otherwise consume excessive context window tokens.", + "id": 2161, + "url": "https://www.pulsemcp.com/servers/2975647277-xiaohongshu", + "name": "Xiaohongshu", + "description": "This MCP server provides automation for the Xiaohongshu (小红书, Little Red Book) social media platform. It offers 13 tools covering QR-code-based login, note publishing with text and images, feed searching, liking, commenting, and user profile access. Content generation uses AI-powered writing with a personalized style, and cover images are rendered from HTML templates. Supports deployment as a web UI, MCP client, or command-line automation tool.", "homepage_url": null, - "source_code_url": "https://github.com/abnersajr/mcp-readedit", + "source_code_url": "https://github.com/2975647277/xiaohongshu-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7078,15 +7078,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2397, - "url": "https://www.pulsemcp.com/servers/aboglioli-orchy", - "name": "Orchy", - "description": "Delivers a coordination layer for AI agent systems with 71 MCP tools over Streamable HTTP, enabling agents to share task boards, knowledge bases with semantic search, messaging channels, distributed resource locks, and graph-based relationship modeling. Built in Rust with SQLite or PostgreSQL backend, includes a web dashboard and Docker Compose setup. Designed for multi-agent projects requiring shared state and coordination without embedding intelligence in the infrastructure.", + "id": 2370, + "url": "https://www.pulsemcp.com/servers/abdushakurob-squadco", + "name": "SquadCo", + "description": "This MCP server gives AI coding tools like Claude and Cursor direct access to SquadCo's payment API documentation through four structured tools: search, list, get structure, and resolve section. SquadCo is a Nigerian fintech platform (powered by GTCO/GTBank) offering payment processing, virtual accounts, fund transfers, and value-added services. The server uses CiteKit for structural documentation mapping to enable precise API specification retrieval without traditional vector-based RAG.", "homepage_url": null, - "source_code_url": "https://github.com/aboglioli/orchy", + "source_code_url": "https://github.com/abdushakurob/squadco-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7094,15 +7094,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2400, - "url": "https://www.pulsemcp.com/servers/abossard-ledfx", - "name": "LedFX", - "description": "Provides comprehensive control over LedFX LED lighting systems through a TypeScript-based MCP server that bridges natural language commands to the LedFX REST API. Features an extensive color library with named colors and gradients, intelligent scene parsing that converts descriptions into proper effect configurations, and local SQLite storage for custom palettes and playlists. Includes effect recommendations based on mood and context, detailed explanations of LedFX concepts like virtuals and audio-reactive effects, and support for all major LedFX operations including device management, effect control, and scene creation.", + "id": 2368, + "url": "https://www.pulsemcp.com/servers/abdoosalomov-jira", + "name": "Jira", + "description": "Enables AI assistants to interact with self-hosted Jira installations, supporting issue creation, retrieval, and project tracking. Built for organizations running on-premises Jira, such as Agrobank's deployment, using Node.js with stdio transport. Exposes Jira's core workflows through the MCP protocol.", "homepage_url": null, - "source_code_url": "https://github.com/abossard/ledfx-mcp", + "source_code_url": "https://github.com/abdoosalomov/jira-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7110,15 +7110,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2415, - "url": "https://www.pulsemcp.com/servers/academic-author-network", - "name": "Academic Author Network", - "description": "This MCP server provides academic author network analysis by aggregating data from multiple scholarly sources including Semantic Scholar, OpenAlex, Crossref, and Google Scholar to find co-authors and research keywords for academic researchers. Built by Alperen Kocyigit, it offers two core tools: co-author discovery that identifies research collaborators with collaboration frequency counts, and keyword extraction that scrapes Google Scholar profiles to retrieve research interests and areas of expertise. The implementation features intelligent rate limiting across APIs, caching to reduce redundant requests, parallel data fetching for performance, and respectful web scraping with delays, making it valuable for academic research analysis, collaboration mapping, and understanding research networks in scholarly communities.", + "id": 2173, + "url": "https://www.pulsemcp.com/servers/3351163616-pdf-reader", + "name": "PDF Reader", + "description": "Processes PDF documents with intelligent type detection, extracting text from both text-based and scanned documents. Integrates pdf-parse, pdf-lib, and pdf-to-png-converter with Baidu OCR API for multilingual document recognition. Provides text extraction with page range support, full-text search with regex capabilities, metadata extraction, and automatic fallback from text extraction to OCR when needed. Useful for document processing pipelines, content analysis systems, and AI-assisted document review workflows.", "homepage_url": null, - "source_code_url": "https://github.com/alperenkocyigit/authorprofilemcp", + "source_code_url": "https://github.com/3351163616/mcp_pdf_reader", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7126,15 +7126,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2435, - "url": "https://www.pulsemcp.com/servers/acheong08-synthetic-search", - "name": "Synthetic Search", - "description": "Provides web search capabilities through the Synthetic Search API, returning structured results with titles, URLs, descriptions, and publication dates for queries up to 400 characters. Integrates with the Synthetic Search API as an MCP server to enable AI assistants to perform real-time web searches.", + "id": 2174, + "url": "https://www.pulsemcp.com/servers/3akhp-prts", + "name": "PRTS", + "description": "PRTS connects AI agents to the Arknights PRTS Wiki API, providing tools for searching wiki articles, retrieving operator archives and voice lines, browsing story events, and performing full-text regex searches across in-game dialogue. Two implementations are available: Python via stdio for local use with Claude Desktop and Claude Code, and TypeScript with HTTP transport for self-hosted remote access. Published to both PyPI and npm.", "homepage_url": null, - "source_code_url": "https://github.com/acheong08/synthetic-search-mcp", + "source_code_url": "https://github.com/3akhp/prts-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7142,15 +7142,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2436, - "url": "https://www.pulsemcp.com/servers/achetronic-browse", - "name": "Browse", - "description": "Gives AI assistants controlled internet access through three tools: web search (via DuckDuckGo, Tavily, or Serper), page fetching with HTML-to-text conversion, and file downloading. Built in Go with a comprehensive security stack including JWT validation against JWKS endpoints, CEL expression-based tool and URL policies, and access logging with header redaction. Supports both stdio and HTTP transport modes with Docker deployment, making it suitable for enterprise environments requiring fine-grained control over which domains and tools each user can access.", - "homepage_url": null, - "source_code_url": "https://github.com/achetronic/browse-mcp", + "id": 2330, + "url": "https://www.pulsemcp.com/servers/aahl-okx", + "name": "OKX", + "description": "Integrates with OKX cryptocurrency exchange to provide account management, trading operations, and market data access. Supports configuration retrieval, balance checking, position viewing, order placement and cancellation, order history, and cryptocurrency ranking information through ticker data.", + "homepage_url": "https://github.com/aahl/mcp-okx", + "source_code_url": "https://github.com/aahl/mcp-okx", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7158,15 +7158,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2448, - "url": "https://www.pulsemcp.com/servers/acrolinx-nextgen", - "name": "Acrolinx NextGen", - "description": "This MCP server integrates with Acrolinx's NextGen API to provide AI assistants with professional text analysis and improvement capabilities, built by Acrolinx using TypeScript with comprehensive workflow management including retry logic, timeout handling, and polling mechanisms. The implementation offers four core tools: automated text rewriting that transforms content while maintaining style guide compliance, quality analysis that provides detailed scores across grammar/clarity/tone dimensions, targeted editing suggestions for manual improvements, and workflow status checking for asynchronous operations. Supporting multiple style guides (AP, Chicago, Microsoft, Proofpoint), language dialects, and tone settings with configurable parameters for text length limits and API timeouts, it serves content teams needing automated editing workflows, technical writers requiring style guide enforcement, and organizations wanting to integrate enterprise-grade writing assistance into their AI-powered content creation processes.", + "id": 2198, + "url": "https://www.pulsemcp.com/servers/6hdj-notificationmcp", + "name": "Notification", + "description": "Runs as an on-device Android MCP server on port 8765 using streamable HTTP transport. Enables AI agents to read, filter, and manage phone notifications from Android 11+ devices with sensitive data masking and 22 diagnostic health checks.", "homepage_url": null, - "source_code_url": "https://github.com/acrolinx/nextgen-mcp", + "source_code_url": "https://github.com/6hdj/notificationmcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7174,7 +7174,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2407, @@ -7190,15 +7190,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2335, - "url": "https://www.pulsemcp.com/servers/aamir-gmail-python-sandbox", - "name": "Python Sandbox", - "description": "This MCP server provides secure Python code execution capabilities through a containerized sandbox environment optimized for data science and machine learning workflows. Built by aamir-gmail specifically for LM Studio integration, it features automatic matplotlib figure persistence, per-execution isolation with unique run directories, and dual deployment modes supporting both LM Studio's native MCP chat interface and a Gradio web UI through the developer API. The implementation includes a comprehensive data science stack (numpy, pandas, scikit-learn, matplotlib, seaborn, xgboost) with automatic artifact serving, making it valuable for interactive data analysis, visualization generation, and machine learning experimentation where users need reliable code execution with persistent file outputs accessible via web URLs.", - "homepage_url": null, - "source_code_url": "https://github.com/aamir-gmail/lm_studio_mcp", + "id": 2187, + "url": "https://www.pulsemcp.com/servers/420247jake-session-forge", + "name": "Session Forge", + "description": "Provides persistent memory that survives across coding sessions. Tracks decisions with reasoning, logs dead ends to prevent repeated mistakes, maintains user profiles and session journals, and supports crash recovery through checkpoints. Stores all data locally as plain JSON files with zero external dependencies. Includes 15 tools covering sessions, profiles, journals, decisions, dead ends, and data management.", + "homepage_url": "https://github.com/420247jake/session-forge", + "source_code_url": "https://github.com/420247jake/session-forge", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7206,15 +7206,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2193, - "url": "https://www.pulsemcp.com/servers/5ajaki-ens-dao-operations", - "name": "ENS DAO Operations", - "description": "This MCP server for local Ethereum node operations, developed by 5pence, provides a simplified interface for interacting with ENS DAO functions. Built with TypeScript and leveraging the ethers.js library, it offers a streamlined approach to Ethereum network interactions. The server implements environment variable configuration for node URL management and error handling. By abstracting the complexities of direct Ethereum node communication, it enables AI systems to easily perform ENS DAO operations. This implementation is particularly valuable for applications requiring programmatic access to ENS DAO functions, facilitating use cases such as automated domain management, governance participation, and decentralized identity operations within the Ethereum ecosystem.", + "id": 2194, + "url": "https://www.pulsemcp.com/servers/5ajaki-etherscan-tools", + "name": "Etherscan Tools", + "description": "This MCP Etherscan server, developed by 5pence, provides Ethereum blockchain data tools via Etherscan's API. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers features like balance checking, transaction history viewing, token transfer tracking, contract ABI fetching, gas price monitoring, and ENS name resolution. The implementation focuses on simplifying access to Ethereum blockchain data through a standardized MCP interface. It's particularly useful for developers and analysts looking to incorporate Ethereum data into their applications without dealing directly with Etherscan's API complexities, enabling use cases like wallet monitoring, transaction analysis, and smart contract interactions.", "homepage_url": null, - "source_code_url": "https://github.com/5ajaki/veri5ight", + "source_code_url": "https://github.com/5ajaki/mcp-etherscan-server", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7222,15 +7222,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2413, - "url": "https://www.pulsemcp.com/servers/acabala-apidog-tests", - "name": "Apidog Tests", - "description": "Integrates with the Apidog testing platform to manage test cases, scenarios, suites, and test data. Agents can create, list, update, and execute API tests through the Apidog API. Requires an Apidog access token and project configuration for authentication.", - "homepage_url": "https://github.com/acabala/apidog-tests-mcp", - "source_code_url": "https://github.com/acabala/apidog-tests-mcp", + "id": 2303, + "url": "https://www.pulsemcp.com/servers/8agana-autonome", + "name": "Autonome", + "description": "Enables autonomous control over wake/sleep cycles and federation with other AI agents. Provides scheduled wake messages via launchd, configurable heartbeat pings to maintain context during long sessions, and async task dispatch for coordinating work across multiple AI systems. Uses AppleScript for Claude Desktop interaction on macOS, SQLite for state management, and includes session logging and maintenance tracking.", + "homepage_url": null, + "source_code_url": "https://github.com/8agana/autonome-mcp", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7238,15 +7238,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2395, - "url": "https://www.pulsemcp.com/servers/ableton-live", - "name": "Ableton Live", - "description": "This MCP server provides real-time control and automation of Ableton Live through a dual-component architecture consisting of a Python Remote Script that runs inside Ableton Live and an external MCP server that communicates via socket connections. Built by Siddharth Ahuja, it offers 16 tools covering session management (track creation, tempo control), MIDI clip operations (note insertion, playback control), and browser integration for loading instruments and effects, enabling AI assistants to compose music, automate production workflows, and manipulate Live sessions programmatically. The implementation features thread-safe command processing, comprehensive error handling with validation, and support for both real-time playback control and detailed session introspection, making it valuable for music producers, composers, and developers who want AI assistance in creating beats, arranging tracks, loading sounds, and automating repetitive studio tasks within Ableton Live.", + "id": 2115, + "url": "https://www.pulsemcp.com/servers/0xcjt-templonix-lite", + "name": "Templonix Lite", + "description": "Templonix Lite is a local-first AI agent infrastructure that extends Claude Desktop capabilities through specialized MCP tools. It features persistent vector memory using FAISS for information storage across conversations, a knowledge base loader for semantic search across uploaded documents, and a dynamic workflow system enabling expert personas with specialized knowledge. The server integrates with Gmail, Google Calendar, Asana, Notion, Google Drive, Eraser.io for diagram generation, and Jina AI for web scraping.", "homepage_url": null, - "source_code_url": "https://github.com/chaudepark/ableton-mcp", + "source_code_url": "https://github.com/0xcjt/templonixlite", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7254,15 +7254,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2332, - "url": "https://www.pulsemcp.com/servers/aakashbhardwaj27-ai-scanner", - "name": "AI Scanner by Aakashbhardwaj27", - "description": "Scans source code repositories to detect usage of LLM and AI SDKs, identify exposed API tokens, and flag hardcoded secrets. Provides security auditing focused on AI integration points in application code.", - "homepage_url": "https://github.com/Aakashbhardwaj27/ai-scanner-mcp", - "source_code_url": "https://github.com/sky-in-code/ai-scanner-mcp", + "id": 2113, + "url": "https://www.pulsemcp.com/servers/0xbruno-cli-executor", + "name": "CLI Executor", + "description": "This MCP server implementation provides a tool for executing local CLI commands asynchronously. Developed by 0xBruno, it uses FastMCP and asyncio to run shell commands securely, handling command arguments with spaces and quotes properly. The server is designed for use cases requiring remote execution of system commands, with built-in error handling for failed commands.", + "homepage_url": null, + "source_code_url": "https://github.com/0xbruno/mcpexec", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7270,7 +7270,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2172, @@ -7286,31 +7286,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2443, - "url": "https://www.pulsemcp.com/servers/achriom", - "name": "Achriom", - "description": "Integrates with Achriom, a personal media collection platform for tracking and managing books, movies, albums, TV shows, and anime. Includes ratings, notes, reading/watching history, YouTube video search, Apple Music previews, and AI-powered collection analysis.", - "homepage_url": "https://achriom.com", - "source_code_url": "https://github.com/achriom/achriom-mcp", + "id": 2153, + "url": "https://www.pulsemcp.com/servers/214140846-skillhub", + "name": "SkillHub", + "description": "SkillHub converts Claude-style skills into standard MCP tools, enabling any MCP-compatible client to discover and use them. It supports flexible skill packaging including nested directories, .zip archives, and .skill files, with multiple transport options including stdio, HTTP, and SSE.", + "homepage_url": "https://github.com/214140846/skillhub-mcp", + "source_code_url": "https://github.com/214140846/skillhub-mcp", "github_stars": 1, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://mcp.achriom.com/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2418, - "url": "https://www.pulsemcp.com/servers/acedatacloud-ai-generators", - "name": "AceDataCloud AI Generators", - "description": "AceDataCloud AI Generators is a collection of 15 MCP servers covering AI image generation (Flux, Midjourney, Seedream), video generation (Sora, Luma, Kling, Hailuo, Veo, Wan, Seedance), music (Suno, Producer), search (Serp), and utilities (ShortURL). Each server is published independently to PyPI, VS Code Marketplace, JetBrains Marketplace, and Smithery. The servers enable AI assistants to access AceDataCloud's hosted API endpoints for generative tasks.", + "id": 2395, + "url": "https://www.pulsemcp.com/servers/ableton-live", + "name": "Ableton Live", + "description": "This MCP server provides real-time control and automation of Ableton Live through a dual-component architecture consisting of a Python Remote Script that runs inside Ableton Live and an external MCP server that communicates via socket connections. Built by Siddharth Ahuja, it offers 16 tools covering session management (track creation, tempo control), MIDI clip operations (note insertion, playback control), and browser integration for loading instruments and effects, enabling AI assistants to compose music, automate production workflows, and manipulate Live sessions programmatically. The implementation features thread-safe command processing, comprehensive error handling with validation, and support for both real-time playback control and detailed session introspection, making it valuable for music producers, composers, and developers who want AI assistance in creating beats, arranging tracks, loading sounds, and automating repetitive studio tasks within Ableton Live.", "homepage_url": null, - "source_code_url": "https://github.com/acedatacloud/mcps", + "source_code_url": "https://github.com/chaudepark/ableton-mcp", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7318,15 +7318,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2103, - "url": "https://www.pulsemcp.com/servers/06ketan-slideshot", - "name": "Slideshot", - "description": "Slideshot converts HTML content into presentation-ready formats including PDF, PNG, WebP, and PPTX slide carousels with 11 built-in themes. It is optimized for creating LinkedIn carousel posts, presentation decks, and slide content from AI-generated HTML layouts.", - "homepage_url": "https://github.com/06ketan/slideshot", - "source_code_url": "https://github.com/06ketan/slideshot", + "id": 2403, + "url": "https://www.pulsemcp.com/servers/abranjan07-sap-btp", + "name": "SAP BTP", + "description": "SAP BTP MCP server connects AI assistants to SAP Business Technology Platform APIs, enabling queries of the global service catalog, running service instances, configured destinations, and plan details. Includes a recommend-service tool for use-case-based service discovery. Implements OAuth2 authentication, 5-minute response caching, and pagination. Published on PyPI with 17 unit tests.", + "homepage_url": "https://github.com/ABRANJAN07/btp-mcp-server", + "source_code_url": "https://github.com/abranjan07/btp-mcp-server", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7334,31 +7334,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2352, - "url": "https://www.pulsemcp.com/servers/aaronsong0505-wechat-bluesky", - "name": "WeChat Digest & Bluesky Publisher", - "description": "A monorepo of two MCP services: wechat-digest-mcp discovers, extracts, and delivers curated WeChat public-account articles as AI-analyzed digests twice daily, while bluesky-social-mcp validates content length, previews post facets, and publishes reviewed content to Bluesky using the AT Protocol SDK.", - "homepage_url": null, - "source_code_url": "https://github.com/aaronsong0505/self-mcp", + "id": 2309, + "url": "https://www.pulsemcp.com/servers/98lukehall-renoun", + "name": "ReNoUn", + "description": "ReNoUn provides structural regime classification for crypto markets with 100% bounded regime accuracy. Analyzes 17 channels across recurrence, novelty, and unity dimensions to detect 8 constellation patterns. Estimates regime stability half-life and provides pre-trade risk gates for trading bots. Also includes conversation analysis tools for detecting stuck loops and structural patterns.", + "homepage_url": "https://harrisoncollab.com", + "source_code_url": "https://github.com/98lukehall/renoun-mcp", "github_stars": 1, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://web-production-817e2.up.railway.app/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2113, - "url": "https://www.pulsemcp.com/servers/0xbruno-cli-executor", - "name": "CLI Executor", - "description": "This MCP server implementation provides a tool for executing local CLI commands asynchronously. Developed by 0xBruno, it uses FastMCP and asyncio to run shell commands securely, handling command arguments with spaces and quotes properly. The server is designed for use cases requiring remote execution of system commands, with built-in error handling for failed commands.", + "id": 2110, + "url": "https://www.pulsemcp.com/servers/0x1f320-why-did-you-render", + "name": "Why Did You Render", + "description": "Why Did You Render captures React re-render diagnostic reports from the browser and exposes them to AI coding agents via MCP. Consists of two npm packages: a server-side MCP component and a browser client. Uses WebSocket relay and JSONL storage for real-time debugging data.", "homepage_url": null, - "source_code_url": "https://github.com/0xbruno/mcpexec", + "source_code_url": "https://github.com/0x1f320/why-did-you-render-mcp", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7366,15 +7366,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2153, - "url": "https://www.pulsemcp.com/servers/214140846-skillhub", - "name": "SkillHub", - "description": "SkillHub converts Claude-style skills into standard MCP tools, enabling any MCP-compatible client to discover and use them. It supports flexible skill packaging including nested directories, .zip archives, and .skill files, with multiple transport options including stdio, HTTP, and SSE.", - "homepage_url": "https://github.com/214140846/skillhub-mcp", - "source_code_url": "https://github.com/214140846/skillhub-mcp", + "id": 2332, + "url": "https://www.pulsemcp.com/servers/aakashbhardwaj27-ai-scanner", + "name": "AI Scanner by Aakashbhardwaj27", + "description": "Scans source code repositories to detect usage of LLM and AI SDKs, identify exposed API tokens, and flag hardcoded secrets. Provides security auditing focused on AI integration points in application code.", + "homepage_url": "https://github.com/Aakashbhardwaj27/ai-scanner-mcp", + "source_code_url": "https://github.com/sky-in-code/ai-scanner-mcp", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7382,23 +7382,23 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2440, - "url": "https://www.pulsemcp.com/servers/achilliesbot-delphi-oracle", - "name": "DELPHI Oracle", - "description": "DELPHI is an autonomous oracle system for the agent economy, publishing real-time intelligence signals across five categories: security exploits and vulnerabilities, market signals including yield and price data, ecosystem developments tracking new agents and funding, API health monitoring, and synthesized research insights. Signals update every 15 minutes and are accessed via x402 USDC micropayments on Base Mainnet.", - "homepage_url": "https://github.com/achilliesbot/delphi", - "source_code_url": "https://github.com/achilliesbot/delphi", + "id": 2335, + "url": "https://www.pulsemcp.com/servers/aamir-gmail-python-sandbox", + "name": "Python Sandbox", + "description": "This MCP server provides secure Python code execution capabilities through a containerized sandbox environment optimized for data science and machine learning workflows. Built by aamir-gmail specifically for LM Studio integration, it features automatic matplotlib figure persistence, per-execution isolation with unique run directories, and dual deployment modes supporting both LM Studio's native MCP chat interface and a Gradio web UI through the developer API. The implementation includes a comprehensive data science stack (numpy, pandas, scikit-learn, matplotlib, seaborn, xgboost) with automatic artifact serving, making it valuable for interactive data analysis, visualization generation, and machine learning experimentation where users need reliable code execution with persistent file outputs accessible via web URLs.", + "homepage_url": null, + "source_code_url": "https://github.com/aamir-gmail/lm_studio_mcp", "github_stars": 1, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://delphi-oracle.onrender.com/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2374, @@ -7414,63 +7414,47 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2378, - "url": "https://www.pulsemcp.com/servers/abhinab-handique-sqlite-db", - "name": "SQLite Database", - "description": "A SQLite database interaction server that provides secure query execution and schema inspection capabilities for local SQLite databases. Built with FastMCP and aiosqlite, it exposes tools for retrieving database table structures and running SQL operations including SELECT, INSERT, UPDATE, and DELETE statements. The server automatically handles database connections, commits transactions for write operations, and returns structured JSON responses.", - "homepage_url": null, - "source_code_url": "https://github.com/abhinab-handique/db_talk", - "github_stars": 1, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": null, - "is_remote": false, - "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" - }, - { - "id": 2309, - "url": "https://www.pulsemcp.com/servers/98lukehall-renoun", - "name": "ReNoUn", - "description": "ReNoUn provides structural regime classification for crypto markets with 100% bounded regime accuracy. Analyzes 17 channels across recurrence, novelty, and unity dimensions to detect 8 constellation patterns. Estimates regime stability half-life and provides pre-trade risk gates for trading bots. Also includes conversation analysis tools for detecting stuck loops and structural patterns.", - "homepage_url": "https://harrisoncollab.com", - "source_code_url": "https://github.com/98lukehall/renoun-mcp", + "id": 2440, + "url": "https://www.pulsemcp.com/servers/achilliesbot-delphi-oracle", + "name": "DELPHI Oracle", + "description": "DELPHI is an autonomous oracle system for the agent economy, publishing real-time intelligence signals across five categories: security exploits and vulnerabilities, market signals including yield and price data, ecosystem developments tracking new agents and funding, API health monitoring, and synthesized research insights. Signals update every 15 minutes and are accessed via x402 USDC micropayments on Base Mainnet.", + "homepage_url": "https://github.com/achilliesbot/delphi", + "source_code_url": "https://github.com/achilliesbot/delphi", "github_stars": 1, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://web-production-817e2.up.railway.app/mcp", + "remote_url": "https://delphi-oracle.onrender.com/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2427, - "url": "https://www.pulsemcp.com/servers/acedatacloud-sora", - "name": "AceDataCloud Sora", - "description": "Generate AI videos using OpenAI Sora models through the AceDataCloud unified API platform. Supports text-to-video generation with customizable parameters. Available as a hosted service or self-hosted via PyPI.", - "homepage_url": "https://sora.mcp.acedata.cloud", - "source_code_url": "https://github.com/acedatacloud/soramcp", + "id": 2410, + "url": "https://www.pulsemcp.com/servers/aby0-reading-companion", + "name": "Reading Companion", + "description": "A reading companion that helps users build and track personalized reading goals through four sequential stages. The Interviewer conducts conversational interviews to establish reading profiles, the Context Builder analyzes profiles to extract deeper patterns, the Syllabus Builder generates curated book recommendations organized by domain with thoughtful sequencing, and the Reflection Partner facilitates post-reading reflection and learning synthesis. Stores all data locally in the user's home directory and generates markdown files for easy review.", + "homepage_url": null, + "source_code_url": "https://github.com/aby0/reading-companion", "github_stars": 1, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://sora.mcp.acedata.cloud/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2403, - "url": "https://www.pulsemcp.com/servers/abranjan07-sap-btp", - "name": "SAP BTP", - "description": "SAP BTP MCP server connects AI assistants to SAP Business Technology Platform APIs, enabling queries of the global service catalog, running service instances, configured destinations, and plan details. Includes a recommend-service tool for use-case-based service discovery. Implements OAuth2 authentication, 5-minute response caching, and pagination. Published on PyPI with 17 unit tests.", - "homepage_url": "https://github.com/ABRANJAN07/btp-mcp-server", - "source_code_url": "https://github.com/abranjan07/btp-mcp-server", + "id": 2160, + "url": "https://www.pulsemcp.com/servers/264gaurav-national-weather-service", + "name": "National Weather Service", + "description": "Integrates with the National Weather Service API to retrieve active weather alerts by US state. Built with FastMCP, the implementation includes proper error handling, timeout management, and user-agent headers for API compliance. Provides tools for fetching and formatting weather alerts including event type, affected areas, severity levels, descriptions, and safety instructions for weather monitoring applications and emergency preparedness systems.", + "homepage_url": null, + "source_code_url": "https://github.com/264gaurav/mcp_ai", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7478,15 +7462,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2187, - "url": "https://www.pulsemcp.com/servers/420247jake-session-forge", - "name": "Session Forge", - "description": "Provides persistent memory that survives across coding sessions. Tracks decisions with reasoning, logs dead ends to prevent repeated mistakes, maintains user profiles and session journals, and supports crash recovery through checkpoints. Stores all data locally as plain JSON files with zero external dependencies. Includes 15 tools covering sessions, profiles, journals, decisions, dead ends, and data management.", - "homepage_url": "https://github.com/420247jake/session-forge", - "source_code_url": "https://github.com/420247jake/session-forge", + "id": 2103, + "url": "https://www.pulsemcp.com/servers/06ketan-slideshot", + "name": "Slideshot", + "description": "Slideshot converts HTML content into presentation-ready formats including PDF, PNG, WebP, and PPTX slide carousels with 11 built-in themes. It is optimized for creating LinkedIn carousel posts, presentation decks, and slide content from AI-generated HTML layouts.", + "homepage_url": "https://github.com/06ketan/slideshot", + "source_code_url": "https://github.com/06ketan/slideshot", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7494,15 +7478,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2110, - "url": "https://www.pulsemcp.com/servers/0x1f320-why-did-you-render", - "name": "Why Did You Render", - "description": "Why Did You Render captures React re-render diagnostic reports from the browser and exposes them to AI coding agents via MCP. Consists of two npm packages: a server-side MCP component and a browser client. Uses WebSocket relay and JSONL storage for real-time debugging data.", - "homepage_url": null, - "source_code_url": "https://github.com/0x1f320/why-did-you-render-mcp", + "id": 2413, + "url": "https://www.pulsemcp.com/servers/acabala-apidog-tests", + "name": "Apidog Tests", + "description": "Integrates with the Apidog testing platform to manage test cases, scenarios, suites, and test data. Agents can create, list, update, and execute API tests through the Apidog API. Requires an Apidog access token and project configuration for authentication.", + "homepage_url": "https://github.com/acabala/apidog-tests-mcp", + "source_code_url": "https://github.com/acabala/apidog-tests-mcp", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7510,23 +7494,23 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2303, - "url": "https://www.pulsemcp.com/servers/8agana-autonome", - "name": "Autonome", - "description": "Enables autonomous control over wake/sleep cycles and federation with other AI agents. Provides scheduled wake messages via launchd, configurable heartbeat pings to maintain context during long sessions, and async task dispatch for coordinating work across multiple AI systems. Uses AppleScript for Claude Desktop interaction on macOS, SQLite for state management, and includes session logging and maintenance tracking.", - "homepage_url": null, - "source_code_url": "https://github.com/8agana/autonome-mcp", + "id": 2443, + "url": "https://www.pulsemcp.com/servers/achriom", + "name": "Achriom", + "description": "Integrates with Achriom, a personal media collection platform for tracking and managing books, movies, albums, TV shows, and anime. Includes ratings, notes, reading/watching history, YouTube video search, Apple Music previews, and AI-powered collection analysis.", + "homepage_url": "https://achriom.com", + "source_code_url": "https://github.com/achriom/achriom-mcp", "github_stars": 1, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://mcp.achriom.com/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2339, @@ -7542,15 +7526,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2410, - "url": "https://www.pulsemcp.com/servers/aby0-reading-companion", - "name": "Reading Companion", - "description": "A reading companion that helps users build and track personalized reading goals through four sequential stages. The Interviewer conducts conversational interviews to establish reading profiles, the Context Builder analyzes profiles to extract deeper patterns, the Syllabus Builder generates curated book recommendations organized by domain with thoughtful sequencing, and the Reflection Partner facilitates post-reading reflection and learning synthesis. Stores all data locally in the user's home directory and generates markdown files for easy review.", + "id": 2418, + "url": "https://www.pulsemcp.com/servers/acedatacloud-ai-generators", + "name": "AceDataCloud AI Generators", + "description": "AceDataCloud AI Generators is a collection of 15 MCP servers covering AI image generation (Flux, Midjourney, Seedream), video generation (Sora, Luma, Kling, Hailuo, Veo, Wan, Seedance), music (Suno, Producer), search (Serp), and utilities (ShortURL). Each server is published independently to PyPI, VS Code Marketplace, JetBrains Marketplace, and Smithery. The servers enable AI assistants to access AceDataCloud's hosted API endpoints for generative tasks.", "homepage_url": null, - "source_code_url": "https://github.com/aby0/reading-companion", + "source_code_url": "https://github.com/acedatacloud/mcps", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7558,15 +7542,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2194, - "url": "https://www.pulsemcp.com/servers/5ajaki-etherscan-tools", - "name": "Etherscan Tools", - "description": "This MCP Etherscan server, developed by 5pence, provides Ethereum blockchain data tools via Etherscan's API. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers features like balance checking, transaction history viewing, token transfer tracking, contract ABI fetching, gas price monitoring, and ENS name resolution. The implementation focuses on simplifying access to Ethereum blockchain data through a standardized MCP interface. It's particularly useful for developers and analysts looking to incorporate Ethereum data into their applications without dealing directly with Etherscan's API complexities, enabling use cases like wallet monitoring, transaction analysis, and smart contract interactions.", + "id": 2427, + "url": "https://www.pulsemcp.com/servers/acedatacloud-sora", + "name": "AceDataCloud Sora", + "description": "Generate AI videos using OpenAI Sora models through the AceDataCloud unified API platform. Supports text-to-video generation with customizable parameters. Available as a hosted service or self-hosted via PyPI.", + "homepage_url": "https://sora.mcp.acedata.cloud", + "source_code_url": "https://github.com/acedatacloud/soramcp", + "github_stars": 1, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": "https://sora.mcp.acedata.cloud/mcp", + "is_remote": true, + "source": "pulsemcp", + "updated_at": "2026-05-30T14:13:14.511952+00:00" + }, + { + "id": 2193, + "url": "https://www.pulsemcp.com/servers/5ajaki-ens-dao-operations", + "name": "ENS DAO Operations", + "description": "This MCP server for local Ethereum node operations, developed by 5pence, provides a simplified interface for interacting with ENS DAO functions. Built with TypeScript and leveraging the ethers.js library, it offers a streamlined approach to Ethereum network interactions. The server implements environment variable configuration for node URL management and error handling. By abstracting the complexities of direct Ethereum node communication, it enables AI systems to easily perform ENS DAO operations. This implementation is particularly valuable for applications requiring programmatic access to ENS DAO functions, facilitating use cases such as automated domain management, governance participation, and decentralized identity operations within the Ethereum ecosystem.", "homepage_url": null, - "source_code_url": "https://github.com/5ajaki/mcp-etherscan-server", + "source_code_url": "https://github.com/5ajaki/veri5ight", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7574,15 +7574,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2115, - "url": "https://www.pulsemcp.com/servers/0xcjt-templonix-lite", - "name": "Templonix Lite", - "description": "Templonix Lite is a local-first AI agent infrastructure that extends Claude Desktop capabilities through specialized MCP tools. It features persistent vector memory using FAISS for information storage across conversations, a knowledge base loader for semantic search across uploaded documents, and a dynamic workflow system enabling expert personas with specialized knowledge. The server integrates with Gmail, Google Calendar, Asana, Notion, Google Drive, Eraser.io for diagram generation, and Jina AI for web scraping.", + "id": 2378, + "url": "https://www.pulsemcp.com/servers/abhinab-handique-sqlite-db", + "name": "SQLite Database", + "description": "A SQLite database interaction server that provides secure query execution and schema inspection capabilities for local SQLite databases. Built with FastMCP and aiosqlite, it exposes tools for retrieving database table structures and running SQL operations including SELECT, INSERT, UPDATE, and DELETE statements. The server automatically handles database connections, commits transactions for write operations, and returns structured JSON responses.", "homepage_url": null, - "source_code_url": "https://github.com/0xcjt/templonixlite", + "source_code_url": "https://github.com/abhinab-handique/db_talk", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7590,15 +7590,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2160, - "url": "https://www.pulsemcp.com/servers/264gaurav-national-weather-service", - "name": "National Weather Service", - "description": "Integrates with the National Weather Service API to retrieve active weather alerts by US state. Built with FastMCP, the implementation includes proper error handling, timeout management, and user-agent headers for API compliance. Provides tools for fetching and formatting weather alerts including event type, affected areas, severity levels, descriptions, and safety instructions for weather monitoring applications and emergency preparedness systems.", + "id": 2352, + "url": "https://www.pulsemcp.com/servers/aaronsong0505-wechat-bluesky", + "name": "WeChat Digest & Bluesky Publisher", + "description": "A monorepo of two MCP services: wechat-digest-mcp discovers, extracts, and delivers curated WeChat public-account articles as AI-analyzed digests twice daily, while bluesky-social-mcp validates content length, previews post facets, and publishes reviewed content to Bluesky using the AT Protocol SDK.", "homepage_url": null, - "source_code_url": "https://github.com/264gaurav/mcp_ai", + "source_code_url": "https://github.com/aaronsong0505/self-mcp", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7606,7 +7606,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2402, @@ -7622,159 +7622,111 @@ "remote_url": "https://abraflexi.fastmcp.app/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" - }, - { - "id": 2425, - "url": "https://www.pulsemcp.com/servers/acedatacloud-serp", - "name": "AceDataCloud SERP", - "description": "Access Google search results via SERP API through the AceDataCloud unified API platform. Retrieve search engine results pages with structured data extraction. Available as a hosted service or self-hosted via PyPI.", - "homepage_url": "https://serp.mcp.acedata.cloud", - "source_code_url": "https://github.com/acedatacloud/serpmcp", - "github_stars": 0, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": "https://serp.mcp.acedata.cloud/mcp", - "is_remote": true, - "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" - }, - { - "id": 2426, - "url": "https://www.pulsemcp.com/servers/acedatacloud-shorturl", - "name": "AceDataCloud ShortURL", - "description": "Shorten and manage URLs through the AceDataCloud unified API platform. Create short links, track click analytics, and manage URL redirects. Available as a hosted service or self-hosted via PyPI.", - "homepage_url": "https://shorturl.mcp.acedata.cloud", - "source_code_url": "https://github.com/acedatacloud/shorturlmcp", - "github_stars": 0, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": "https://shorturl.mcp.acedata.cloud/mcp", - "is_remote": true, - "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" - }, - { - "id": 2141, - "url": "https://www.pulsemcp.com/servers/1clickreport", - "name": "1ClickReport", - "description": "Connect Claude to your marketing data from 1ClickReport. Analyze campaign performance, identify wasted spend, monitor metrics with AI agents, and execute Google Ads changes across 40+ tools covering Google Ads, Meta, GA4, and more.", - "homepage_url": "https://www.1clickreport.com", - "source_code_url": "https://github.com/1clickreport/mcp", - "github_stars": 0, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": "https://mcp.1clickreport.com/mcp", - "is_remote": true, - "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2429, - "url": "https://www.pulsemcp.com/servers/acedatacloud-veo", - "name": "AceDataCloud Veo", - "description": "Generate AI videos using Google Veo models through the AceDataCloud unified API platform. Supports text-to-video generation with customizable parameters. Available via PyPI for self-hosted deployments.", - "homepage_url": "https://veo.mcp.acedata.cloud", - "source_code_url": "https://github.com/acedatacloud/veomcp", + "id": 2321, + "url": "https://www.pulsemcp.com/servers/a2areplayreceipt-mcp", + "name": "A2A Replay Receipt", + "description": "A2A Replay Receipt is a paid remote MCP service for generating structured failure replay receipts in Agent-to-Agent workflows. It produces audit logs and reviewer-ready evidence for agent failures, enabling compliance review and debugging of multi-agent system issues. Requires paid bearer token.", + "homepage_url": "null", + "source_code_url": "https://github.com/clauxel/a2a-replay-receipt-mcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://a2areplayreceipt.clauxel.com/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2430, - "url": "https://www.pulsemcp.com/servers/acedata-hailuo", - "name": "AceDataCloud Hailuo", - "description": "AI video generation through the Hailuo (MiniMax) model on the AceDataCloud platform, supporting text-to-video creation. Requires an AceDataCloud API token from platform.acedata.cloud.", - "homepage_url": "https://github.com/AceDataCloud/HailuoMCP", - "source_code_url": "https://github.com/acedatacloud/hailuomcp", + "id": 2176, + "url": "https://www.pulsemcp.com/servers/3dstreet", + "name": "3DStreet", + "description": "3DStreet is a web-based 3D scene editor that enables AI clients to drive open scenes from Claude Desktop or Claude Code via MCP tool calls. It allows programmatic creation and manipulation of 3D street and urban scenes.", + "homepage_url": "https://3dstreet.app", + "source_code_url": "https://github.com/3dstreet/3dstreet-mcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://hailuo.mcp.acedata.cloud/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2431, - "url": "https://www.pulsemcp.com/servers/acedata-kling", - "name": "AceDataCloud Kling", - "description": "AI video generation through the Kling model on the AceDataCloud platform, supporting text-to-video and image-to-video creation. Requires an AceDataCloud API token from platform.acedata.cloud.", - "homepage_url": "https://github.com/AceDataCloud/KlingMCP", - "source_code_url": "https://github.com/acedatacloud/klingmcp", + "id": 2180, + "url": "https://www.pulsemcp.com/servers/3rzy-make-integration", + "name": "Make", + "description": "This MCP server implementation provides integration with Make (formerly Integromat) for automating workflows. It allows users to connect Make scenarios with MCP-enabled AI assistants, enabling automated task execution and data processing. The server is designed for developers looking to enhance their AI workflows with Make's extensive library of app integrations and automation capabilities.", + "homepage_url": null, + "source_code_url": "https://github.com/3rzy/make-mcp-integration-issue", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://kling.mcp.acedata.cloud/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2432, - "url": "https://www.pulsemcp.com/servers/acedata-producer", - "name": "AceDataCloud Producer", - "description": "AI music generation through the Producer/Riffusion model on the AceDataCloud platform, supporting text-to-music composition. Requires an AceDataCloud API token from platform.acedata.cloud.", - "homepage_url": "https://github.com/AceDataCloud/ProducerMCP", - "source_code_url": "https://github.com/acedatacloud/producermcp", + "id": 2182, + "url": "https://www.pulsemcp.com/servers/3xfreedom-agentpedia", + "name": "AgentPedia", + "description": "AgentPedia is a structured, machine-readable knowledge base cataloging AI tools, APIs, and agents. The integration provides 16 tools for searching agents, submitting new entries, reviewing submissions, and tracking reputation scores. It connects to the AgentPedia database, which includes 100+ vetted community entries organized for agent consumption rather than human browsing.", + "homepage_url": "https://github.com/3xfreedom/agentpedia", + "source_code_url": "https://github.com/3xfreedom/agentpedia", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://producer.mcp.acedata.cloud/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2433, - "url": "https://www.pulsemcp.com/servers/acedata-wan", - "name": "AceDataCloud Wan", - "description": "AI video generation through the Wan model on the AceDataCloud platform, supporting text-to-video and image-to-video creation. Requires an AceDataCloud API token from platform.acedata.cloud.", - "homepage_url": "https://github.com/AceDataCloud/WanMCP", - "source_code_url": "https://github.com/acedatacloud/wanmcp", + "id": 2358, + "url": "https://www.pulsemcp.com/servers/aaymeloglu-venmo", + "name": "Venmo", + "description": "Connects to Venmo's payment platform via the unofficial venmo-api library to enable sending money, requesting payments, searching users, retrieving payment methods, accessing friend lists, and viewing user profiles. Supports privacy settings and funding source selection for transactions.", + "homepage_url": null, + "source_code_url": "https://github.com/aaymeloglu/venmo-mcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://wan.mcp.acedata.cloud/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2131, - "url": "https://www.pulsemcp.com/servers/100hires", - "name": "100Hires", - "description": "100Hires exposes 130 recruiting workflow tools through MCP, enabling AI assistants to manage candidates, schedule interviews, post jobs to multiple boards, and automate hiring operations. Authentication uses OAuth 2.1 with PKCE. Access requires a 100Hires Pro plan subscription.", - "homepage_url": "https://github.com/100Hires/mcp", - "source_code_url": "https://github.com/100hires/mcp", + "id": 2188, + "url": "https://www.pulsemcp.com/servers/4bots", + "name": "4bots", + "description": "4bots delivers short-form daily content to AI briefing agents through 10 curated channels covering stories, puzzles, jokes, business cases, and historical snippets. Agents can subscribe to channels, retrieve content bundles for email embedding, and manage delivery history. First 100 API calls are free on signup, with optional paid top-ups.", + "homepage_url": "https://4bots.net/agents.html", + "source_code_url": "https://github.com/davidsiegel59/4bots", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://mcp.100hires.com/mcp", + "remote_url": "https://4bots.net/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2127, - "url": "https://www.pulsemcp.com/servers/0xrag-base-wallet", - "name": "Base Wallet", - "description": "A lightweight MCP server built with TypeScript and Coinbase's AgentKit, designed to provide a flexible wallet interaction framework using Viem on the Base Sepolia testnet. The implementation sets up a standard MCP server with tool listing and execution capabilities, generating a random wallet client and exposing blockchain-related actions through a stdio transport mechanism.", + "id": 2383, + "url": "https://www.pulsemcp.com/servers/abhinav-system-resource-monitor", + "name": "System Resource Monitor", + "description": "A Model Context Protocol server for real-time system monitoring, providing CPU, memory, disk, network, battery, and internet speed metrics via the systeminformation library. Developed by Abhinav, this implementation exposes both a resource endpoint for comprehensive system snapshots and individual tools for targeted metrics retrieval. The server uses multi-source speed tests from various providers to deliver reliable internet performance measurements, making it particularly useful for diagnosing performance issues, monitoring resource utilization, and tracking network connectivity without leaving the AI assistant conversation.", "homepage_url": null, - "source_code_url": "https://github.com/0xrag/mcp", + "source_code_url": "https://github.com/abhinav7895/system-mcp", "github_stars": 0, "package_registry": null, "package_name": null, @@ -7782,31 +7734,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2108, - "url": "https://www.pulsemcp.com/servers/0rkz-byte-protocol", - "name": "Byte Protocol", - "description": "Interact with the Byte Protocol data marketplace on Arbitrum Sepolia to search publishers, check subscriptions, view network statistics, and perform testnet operations. Supports both read and write operations including requesting testnet tokens, subscribing to data feeds, registering as a publisher, and publishing data to the blockchain.", - "homepage_url": "https://github.com/0rkz/byte-mcp-server", - "source_code_url": "https://github.com/0rkz/byte-mcp-server", + "id": 2141, + "url": "https://www.pulsemcp.com/servers/1clickreport", + "name": "1ClickReport", + "description": "Connect Claude to your marketing data from 1ClickReport. Analyze campaign performance, identify wasted spend, monitor metrics with AI agents, and execute Google Ads changes across 40+ tools covering Google Ads, Meta, GA4, and more.", + "homepage_url": "https://www.1clickreport.com", + "source_code_url": "https://github.com/1clickreport/mcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://mcp.payperbyte.io/mcp", + "remote_url": "https://mcp.1clickreport.com/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2333, - "url": "https://www.pulsemcp.com/servers/aalexuser-wait", - "name": "Wait", - "description": "Enables AI agents to pause execution by waiting for a specified number of seconds, monitoring a process ID until it exits, or combining both to wait until the first condition completes. Useful for coordinating asynchronous workflows and build processes.", - "homepage_url": null, - "source_code_url": "https://github.com/aalexuser/mcp-wait", + "id": 2177, + "url": "https://www.pulsemcp.com/servers/3dunlmtd-stylemcp", + "name": "StyleMCP", + "description": "Executable brand rules for models and agents. Validates AI-generated text against customizable brand style packs and rewrites content to align with specified brand voice and tone guidelines. Provides validation scoring, identifies off-brand language, and suggests corrections for vocabulary, patterns, and call-to-action copy. Available as an npm package with CLI, REST API, and MCP server interfaces.", + "homepage_url": "https://github.com/3DUNLMTD/stylemcp", + "source_code_url": "https://github.com/distinctlydeveloped/stylemcp", "github_stars": 0, "package_registry": null, "package_name": null, @@ -7814,15 +7766,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2322, - "url": "https://www.pulsemcp.com/servers/a2cr", - "name": "A2CR", - "description": "A2CR provides AI coding agents with persistent context across sessions through two mechanisms: WorkBaton, which stores encrypted resume checkpoints for resuming long tasks in fresh sessions, and WorkStash, for temporary cross-session notes. Client-side encryption ensures the server stores only ciphertext, supporting Claude Code, Codex, and Roo Code.", - "homepage_url": "https://github.com/a2cr/a2cr", - "source_code_url": "https://github.com/a2cr/a2cr", + "id": 2387, + "url": "https://www.pulsemcp.com/servers/abhishek2432001-deeprepo", + "name": "DeepRepo", + "description": "A production-grade Python library for performing retrieval-augmented generation on local codebases. Provides tools for codebase ingestion, semantic querying, and similarity-based code discovery. Supports multiple AI providers including Ollama, HuggingFace, OpenAI, Anthropic, and Gemini.", + "homepage_url": "https://github.com/abhishek2432001/deeprepo", + "source_code_url": "https://github.com/abhishek2432001/deeprepo", "github_stars": 0, "package_registry": null, "package_name": null, @@ -7830,63 +7782,47 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" - }, - { - "id": 2321, - "url": "https://www.pulsemcp.com/servers/a2areplayreceipt-mcp", - "name": "A2A Replay Receipt", - "description": "A2A Replay Receipt is a paid remote MCP service for generating structured failure replay receipts in Agent-to-Agent workflows. It produces audit logs and reviewer-ready evidence for agent failures, enabling compliance review and debugging of multi-agent system issues. Requires paid bearer token.", - "homepage_url": "null", - "source_code_url": "https://github.com/clauxel/a2a-replay-receipt-mcp", - "github_stars": 0, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": "https://a2areplayreceipt.clauxel.com/mcp", - "is_remote": true, - "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2319, - "url": "https://www.pulsemcp.com/servers/a2aidentitytoll-mcp", - "name": "A2A Identity Toll", - "description": "A2A Identity Toll is a paid remote MCP service for verifying caller identity in Agent-to-Agent workflows. It enforces scope policies, evaluates task intent and data class against policy verdicts, and generates structured receipts and audit logs for compliance and security review. Requires paid bearer token.", - "homepage_url": "null", - "source_code_url": "https://github.com/clauxel/a2a-identity-toll-mcp", + "id": 2388, + "url": "https://www.pulsemcp.com/servers/abhishek305-contentstack-app", + "name": "Contentstack App", + "description": "Contentstack App provides tools and knowledge resources for AI coding agents to build, migrate, and audit Contentstack Marketplace apps. It includes scaffolding tools (cs_preflight, cs_plan, cs_scaffold, cs_verify), SDK documentation resources, and pattern guides that prevent common AI mistakes such as hallucinated API methods or missing required UI components. The server is available as a hosted remote endpoint deployable via Contentstack Launch, Vercel, or any Node.js host using Streamable HTTP transport.", + "homepage_url": null, + "source_code_url": "https://github.com/abhishek305/contentstack-app-mcp-remote", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://a2aidentitytoll.clauxel.com/mcp", + "remote_url": "https://contentstack-app-mcp-remote.contentstackapps.com/api/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2318, - "url": "https://www.pulsemcp.com/servers/a2adependencyinspector-mcp", - "name": "A2A Dependency Inspector", - "description": "A2A Dependency Inspector is a paid remote MCP service for analyzing Agent-to-Agent protocol dependencies before agent rollouts. It returns structured JSON verdicts, receipts, audit logs, and rollout risk assessments to prevent dependency-related failures in multi-agent systems. Starter, Team, and Platform pricing tiers available.", - "homepage_url": "null", - "source_code_url": "https://github.com/clauxel/a2a-dependency-inspector-mcp", + "id": 2131, + "url": "https://www.pulsemcp.com/servers/100hires", + "name": "100Hires", + "description": "100Hires exposes 130 recruiting workflow tools through MCP, enabling AI assistants to manage candidates, schedule interviews, post jobs to multiple boards, and automate hiring operations. Authentication uses OAuth 2.1 with PKCE. Access requires a 100Hires Pro plan subscription.", + "homepage_url": "https://github.com/100Hires/mcp", + "source_code_url": "https://github.com/100hires/mcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://a2adependencyinspector.clauxel.com/mcp", + "remote_url": "https://mcp.100hires.com/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2383, - "url": "https://www.pulsemcp.com/servers/abhinav-system-resource-monitor", - "name": "System Resource Monitor", - "description": "A Model Context Protocol server for real-time system monitoring, providing CPU, memory, disk, network, battery, and internet speed metrics via the systeminformation library. Developed by Abhinav, this implementation exposes both a resource endpoint for comprehensive system snapshots and individual tools for targeted metrics retrieval. The server uses multi-source speed tests from various providers to deliver reliable internet performance measurements, making it particularly useful for diagnosing performance issues, monitoring resource utilization, and tracking network connectivity without leaving the AI assistant conversation.", - "homepage_url": null, - "source_code_url": "https://github.com/abhinav7895/system-mcp", + "id": 2393, + "url": "https://www.pulsemcp.com/servers/abhiyoheswaran1-tokentrace", + "name": "TokenTrace", + "description": "Monitors and analyzes token usage and cost metrics across AI CLI tools including Claude Code. Provides detailed consumption reports and insights to help developers optimize their AI assistant spending.", + "homepage_url": "https://www.abhiyoheswaran.com/apps/tokentrace", + "source_code_url": "https://github.com/abhiyoheswaran1/tokentrace", "github_stars": 0, "package_registry": null, "package_name": null, @@ -7894,15 +7830,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2316, - "url": "https://www.pulsemcp.com/servers/a21071-postgres", - "name": "PostgreSQL", - "description": "A PostgreSQL database integration server that provides type-safe CRUD operations for user data through MCP tools. Built with TypeScript and Prisma, it enables easy database interactions with a standardized interface, supporting operations like retrieving, adding, updating, and deleting user records with robust input validation.", + "id": 2127, + "url": "https://www.pulsemcp.com/servers/0xrag-base-wallet", + "name": "Base Wallet", + "description": "A lightweight MCP server built with TypeScript and Coinbase's AgentKit, designed to provide a flexible wallet interaction framework using Viem on the Base Sepolia testnet. The implementation sets up a standard MCP server with tool listing and execution capabilities, generating a random wallet client and exposing blockchain-related actions through a stdio transport mechanism.", "homepage_url": null, - "source_code_url": "https://github.com/a21071/mcp-postgres", + "source_code_url": "https://github.com/0xrag/mcp", "github_stars": 0, "package_registry": null, "package_name": null, @@ -7910,15 +7846,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2313, - "url": "https://www.pulsemcp.com/servers/a-001-byte-eyeshot-cad", - "name": "Eyeshot CAD", - "description": "Provides AI-driven control of CAD operations for applications built on the devDept Eyeshot SDK, a .NET-based CAD component library. Exposes geometry creation, model manipulation, and visualization operations as MCP tools, enabling natural language-driven CAD workflows within Eyeshot-powered applications. Targeted at developers building engineering and design tools on top of the Eyeshot platform.", - "homepage_url": null, - "source_code_url": "https://github.com/a-001-byte/tesseract-26-eyeshot-mcp", + "id": 2347, + "url": "https://www.pulsemcp.com/servers/aaronsb-confluence-cloud-v2", + "name": "Confluence Cloud", + "description": "Provides structured Confluence page editing with session-based change tracking, enabling surgical edits to individual blocks without full-page rewrites. Supports native Confluence macros including status badges, info panels, and expand blocks. Includes GraphQL-based navigation for accurate relationship discovery, backlinks, and forward links. Offers tools for content management, media handling, space operations, and CQL search.", + "homepage_url": "https://github.com/aaronsb/confluence-cloud", + "source_code_url": "https://github.com/aaronsb/confluence-cloud", "github_stars": 0, "package_registry": null, "package_name": null, @@ -7926,31 +7862,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2312, - "url": "https://www.pulsemcp.com/servers/9-trinkets-projectbrain", - "name": "ProjectBrain", - "description": "Provides project management workflow tools through a hosted Streamable HTTP endpoint. Supports task management, decision tracking, fact recording, milestone planning, commenting, and team messaging. Features OAuth/JWT authentication, MCP discovery endpoints, and Sentry error reporting integration.", - "homepage_url": null, - "source_code_url": "https://github.com/9-trinkets/projectbrain-mcp", + "id": 2401, + "url": "https://www.pulsemcp.com/servers/ab-ovo", + "name": "Ab Ovo", + "description": "Enables email-to-web publishing through the ABOVO.co platform. Sends content to POST@abovo.co and receives a permanent public URL in seconds. Supports personal pages, group pages with moderation, and handles text, HTML, and file attachments. No API key or signup required as SMTP serves as the API. Includes a remote streamable HTTP endpoint for direct integration without local installation.", + "homepage_url": "https://www.abovo.co", + "source_code_url": "https://github.com/seanfenlon/abovo-mcp-server", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://mcp.projectbrain.tools/", + "remote_url": "https://abovo.replit.app/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2387, - "url": "https://www.pulsemcp.com/servers/abhishek2432001-deeprepo", - "name": "DeepRepo", - "description": "A production-grade Python library for performing retrieval-augmented generation on local codebases. Provides tools for codebase ingestion, semantic querying, and similarity-based code discovery. Supports multiple AI providers including Ollama, HuggingFace, OpenAI, Anthropic, and Gemini.", - "homepage_url": "https://github.com/abhishek2432001/deeprepo", - "source_code_url": "https://github.com/abhishek2432001/deeprepo", + "id": 2104, + "url": "https://www.pulsemcp.com/servers/06ketan-substack-ops", + "name": "Substack Ops", + "description": "Manage Substack publications with 26 tools covering posts, notes, comments, reactions, and restacks. Features a multi-stage approval workflow for automated replies with safety deduplication checks and audit logging. Designed for zero-API-key workflows where your local AI handles reply drafting.", + "homepage_url": "https://github.com/06ketan/substack-ops", + "source_code_url": "https://github.com/06ketan/substack-ops", "github_stars": 0, "package_registry": null, "package_name": null, @@ -7958,31 +7894,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2388, - "url": "https://www.pulsemcp.com/servers/abhishek305-contentstack-app", - "name": "Contentstack App", - "description": "Contentstack App provides tools and knowledge resources for AI coding agents to build, migrate, and audit Contentstack Marketplace apps. It includes scaffolding tools (cs_preflight, cs_plan, cs_scaffold, cs_verify), SDK documentation resources, and pattern guides that prevent common AI mistakes such as hallucinated API methods or missing required UI components. The server is available as a hosted remote endpoint deployable via Contentstack Launch, Vercel, or any Node.js host using Streamable HTTP transport.", + "id": 2408, + "url": "https://www.pulsemcp.com/servers/abutbul-gatherings", + "name": "Gatherings (Expense Sharing)", + "description": "Gatherings MCP Server provides a tool for managing shared expenses in social events, helping users track costs, calculate reimbursements, and settle balances between friends. Built with a TypeScript wrapper around a Python backend using SQLAlchemy for data persistence, it offers features like creating gatherings, adding expenses, recording payments, and calculating who owes what to whom. The server uses a non-standard architecture where the Node.js component translates MCP requests to command-line calls to the Python implementation, making it suitable for personal expense tracking in group settings while acknowledging areas for architectural improvement.", "homepage_url": null, - "source_code_url": "https://github.com/abhishek305/contentstack-app-mcp-remote", + "source_code_url": "https://github.com/abutbul/gatherings-mcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://contentstack-app-mcp-remote.contentstackapps.com/api/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2180, - "url": "https://www.pulsemcp.com/servers/3rzy-make-integration", - "name": "Make", - "description": "This MCP server implementation provides integration with Make (formerly Integromat) for automating workflows. It allows users to connect Make scenarios with MCP-enabled AI assistants, enabling automated task execution and data processing. The server is designed for developers looking to enhance their AI workflows with Make's extensive library of app integrations and automation capabilities.", + "id": 2409, + "url": "https://www.pulsemcp.com/servers/abutbul-gatherings-expense-sharing", + "name": "Gatherings (Expense Sharing)", + "description": "This MCP server implementation provides a robust expense-sharing solution for social gatherings. Built with Python and SQLAlchemy, it offers tools for creating gatherings, managing members, tracking expenses, calculating reimbursements, and generating detailed payment summaries. The server employs a structured database model and includes features like member renaming and gathering closure. It's designed for use cases such as splitting costs for group trips, dinners, or any event where expenses need to be fairly divided among participants.", "homepage_url": null, - "source_code_url": "https://github.com/3rzy/make-mcp-integration-issue", + "source_code_url": "https://github.com/abutbul/gatherings-mcp-python", "github_stars": 0, "package_registry": null, "package_name": null, @@ -7990,15 +7926,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2393, - "url": "https://www.pulsemcp.com/servers/abhiyoheswaran1-tokentrace", - "name": "TokenTrace", - "description": "Monitors and analyzes token usage and cost metrics across AI CLI tools including Claude Code. Provides detailed consumption reports and insights to help developers optimize their AI assistant spending.", - "homepage_url": "https://www.abhiyoheswaran.com/apps/tokentrace", - "source_code_url": "https://github.com/abhiyoheswaran1/tokentrace", + "id": 2411, + "url": "https://www.pulsemcp.com/servers/abyousef739-signalpipe", + "name": "SignalPipe", + "description": "SignalPipe is an agentic sales pipeline system that monitors Reddit, Hacker News, Twitter/X, and custom RSS feeds for buying-intent signals and automates prospect outreach. It provides 16 tools for mission management, product configuration, signal scouting, prospect temperature tracking, and automated message drafting. A three-judge AI scoring system evaluates leads and categorizes outreach into Closer, Advisor, or Educator personas, with human approval required at every action step.", + "homepage_url": "https://github.com/AbYousef739/signalpipe", + "source_code_url": "https://github.com/abyousef739/signalpipe", "github_stars": 0, "package_registry": null, "package_name": null, @@ -8006,7 +7942,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2102, @@ -8022,31 +7958,47 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2188, - "url": "https://www.pulsemcp.com/servers/4bots", - "name": "4bots", - "description": "4bots delivers short-form daily content to AI briefing agents through 10 curated channels covering stories, puzzles, jokes, business cases, and historical snippets. Agents can subscribe to channels, retrieve content bundles for email embedding, and manage delivery history. First 100 API calls are free on signup, with optional paid top-ups.", - "homepage_url": "https://4bots.net/agents.html", - "source_code_url": "https://github.com/davidsiegel59/4bots", + "id": 2312, + "url": "https://www.pulsemcp.com/servers/9-trinkets-projectbrain", + "name": "ProjectBrain", + "description": "Provides project management workflow tools through a hosted Streamable HTTP endpoint. Supports task management, decision tracking, fact recording, milestone planning, commenting, and team messaging. Features OAuth/JWT authentication, MCP discovery endpoints, and Sentry error reporting integration.", + "homepage_url": null, + "source_code_url": "https://github.com/9-trinkets/projectbrain-mcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://4bots.net/mcp", + "remote_url": "https://mcp.projectbrain.tools/", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2104, - "url": "https://www.pulsemcp.com/servers/06ketan-substack-ops", - "name": "Substack Ops", - "description": "Manage Substack publications with 26 tools covering posts, notes, comments, reactions, and restacks. Features a multi-stage approval workflow for automated replies with safety deduplication checks and audit logging. Designed for zero-API-key workflows where your local AI handles reply drafting.", - "homepage_url": "https://github.com/06ketan/substack-ops", - "source_code_url": "https://github.com/06ketan/substack-ops", + "id": 2340, + "url": "https://www.pulsemcp.com/servers/aarna-ai-atv", + "name": "ATV by Aarna", + "description": "Connects to Aarna's tokenized yield vault infrastructure on Ethereum and Base networks. Offers 19 tools spanning vault discovery, performance metrics (NAV, TVL, APY), transaction building for deposits and withdrawals, queued withdrawal flows, and portfolio tracking. Supports both instant and delayed withdrawal mechanisms with operational status checks before transaction construction.", + "homepage_url": "https://aarna.ai", + "source_code_url": "https://github.com/aarna-ai/atv-sdk/tree/HEAD/packages/mcp-server", + "github_stars": 0, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": "https://atv-api.aarna.ai/mcp", + "is_remote": true, + "source": "pulsemcp", + "updated_at": "2026-05-30T14:13:14.511952+00:00" + }, + { + "id": 2316, + "url": "https://www.pulsemcp.com/servers/a21071-postgres", + "name": "PostgreSQL", + "description": "A PostgreSQL database integration server that provides type-safe CRUD operations for user data through MCP tools. Built with TypeScript and Prisma, it enables easy database interactions with a standardized interface, supporting operations like retrieving, adding, updating, and deleting user records with robust input validation.", + "homepage_url": null, + "source_code_url": "https://github.com/a21071/mcp-postgres", "github_stars": 0, "package_registry": null, "package_name": null, @@ -8054,31 +8006,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2401, - "url": "https://www.pulsemcp.com/servers/ab-ovo", - "name": "Ab Ovo", - "description": "Enables email-to-web publishing through the ABOVO.co platform. Sends content to POST@abovo.co and receives a permanent public URL in seconds. Supports personal pages, group pages with moderation, and handles text, HTML, and file attachments. No API key or signup required as SMTP serves as the API. Includes a remote streamable HTTP endpoint for direct integration without local installation.", - "homepage_url": "https://www.abovo.co", - "source_code_url": "https://github.com/seanfenlon/abovo-mcp-server", + "id": 2318, + "url": "https://www.pulsemcp.com/servers/a2adependencyinspector-mcp", + "name": "A2A Dependency Inspector", + "description": "A2A Dependency Inspector is a paid remote MCP service for analyzing Agent-to-Agent protocol dependencies before agent rollouts. It returns structured JSON verdicts, receipts, audit logs, and rollout risk assessments to prevent dependency-related failures in multi-agent systems. Starter, Team, and Platform pricing tiers available.", + "homepage_url": "null", + "source_code_url": "https://github.com/clauxel/a2a-dependency-inspector-mcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://abovo.replit.app/mcp", + "remote_url": "https://a2adependencyinspector.clauxel.com/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2182, - "url": "https://www.pulsemcp.com/servers/3xfreedom-agentpedia", - "name": "AgentPedia", - "description": "AgentPedia is a structured, machine-readable knowledge base cataloging AI tools, APIs, and agents. The integration provides 16 tools for searching agents, submitting new entries, reviewing submissions, and tracking reputation scores. It connects to the AgentPedia database, which includes 100+ vetted community entries organized for agent consumption rather than human browsing.", - "homepage_url": "https://github.com/3xfreedom/agentpedia", - "source_code_url": "https://github.com/3xfreedom/agentpedia", + "id": 2442, + "url": "https://www.pulsemcp.com/servers/achreftlili-code-index", + "name": "Code Index", + "description": "Code Index provides SQLite-backed hybrid search combining vector embeddings and full-text search for code repositories. Supports Voyage and Ollama embedding backends for semantic code search, enabling AI agents to efficiently locate code across large codebases.", + "homepage_url": "https://github.com/achreftlili/code-index", + "source_code_url": "https://github.com/achreftlili/code-index", "github_stars": 0, "package_registry": null, "package_name": null, @@ -8086,15 +8038,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2408, - "url": "https://www.pulsemcp.com/servers/abutbul-gatherings", - "name": "Gatherings (Expense Sharing)", - "description": "Gatherings MCP Server provides a tool for managing shared expenses in social events, helping users track costs, calculate reimbursements, and settle balances between friends. Built with a TypeScript wrapper around a Python backend using SQLAlchemy for data persistence, it offers features like creating gatherings, adding expenses, recording payments, and calculating who owes what to whom. The server uses a non-standard architecture where the Node.js component translates MCP requests to command-line calls to the Python implementation, making it suitable for personal expense tracking in group settings while acknowledging areas for architectural improvement.", - "homepage_url": null, - "source_code_url": "https://github.com/abutbul/gatherings-mcp", + "id": 2439, + "url": "https://www.pulsemcp.com/servers/achilliesbot-agentiam", + "name": "AgentIAM", + "description": "Access AgentIAM's 18 x402 endpoints for agent safety checks, audit and policy validation, intelligence analysis, knowledge graphs, and signal processing on Base Mainnet. Communicates via stdio and exposes each endpoint as an MCP tool. Installable via npm.", + "homepage_url": "https://github.com/achilliesbot/agentiam-mcp", + "source_code_url": "https://github.com/achilliesbot/agentiam-mcp", "github_stars": 0, "package_registry": null, "package_name": null, @@ -8102,47 +8054,47 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2409, - "url": "https://www.pulsemcp.com/servers/abutbul-gatherings-expense-sharing", - "name": "Gatherings (Expense Sharing)", - "description": "This MCP server implementation provides a robust expense-sharing solution for social gatherings. Built with Python and SQLAlchemy, it offers tools for creating gatherings, managing members, tracking expenses, calculating reimbursements, and generating detailed payment summaries. The server employs a structured database model and includes features like member renaming and gathering closure. It's designed for use cases such as splitting costs for group trips, dinners, or any event where expenses need to be fairly divided among participants.", - "homepage_url": null, - "source_code_url": "https://github.com/abutbul/gatherings-mcp-python", + "id": 2325, + "url": "https://www.pulsemcp.com/servers/a7om-pricing-intelligence", + "name": "ATOM Pricing Intelligence", + "description": "ATOM Pricing Intelligence provides comprehensive benchmarking data for AI inference pricing. It aggregates pricing information across numerous vendors and SKUs, offering price indexes that help teams compare costs and make informed infrastructure decisions. The service includes both a hosted endpoint and an npm package for local use.", + "homepage_url": "https://a7om.com/mcp", + "source_code_url": "https://github.com/a7om-ai/atom-mcp-server", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://atom-mcp-server-production.up.railway.app/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2411, - "url": "https://www.pulsemcp.com/servers/abyousef739-signalpipe", - "name": "SignalPipe", - "description": "SignalPipe is an agentic sales pipeline system that monitors Reddit, Hacker News, Twitter/X, and custom RSS feeds for buying-intent signals and automates prospect outreach. It provides 16 tools for mission management, product configuration, signal scouting, prospect temperature tracking, and automated message drafting. A three-judge AI scoring system evaluates leads and categorizes outreach into Closer, Advisor, or Educator personas, with human approval required at every action step.", - "homepage_url": "https://github.com/AbYousef739/signalpipe", - "source_code_url": "https://github.com/abyousef739/signalpipe", + "id": 2319, + "url": "https://www.pulsemcp.com/servers/a2aidentitytoll-mcp", + "name": "A2A Identity Toll", + "description": "A2A Identity Toll is a paid remote MCP service for verifying caller identity in Agent-to-Agent workflows. It enforces scope policies, evaluates task intent and data class against policy verdicts, and generates structured receipts and audit logs for compliance and security review. Requires paid bearer token.", + "homepage_url": "null", + "source_code_url": "https://github.com/clauxel/a2a-identity-toll-mcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://a2aidentitytoll.clauxel.com/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2177, - "url": "https://www.pulsemcp.com/servers/3dunlmtd-stylemcp", - "name": "StyleMCP", - "description": "Executable brand rules for models and agents. Validates AI-generated text against customizable brand style packs and rewrites content to align with specified brand voice and tone guidelines. Provides validation scoring, identifies off-brand language, and suggests corrections for vocabulary, patterns, and call-to-action copy. Available as an npm package with CLI, REST API, and MCP server interfaces.", - "homepage_url": "https://github.com/3DUNLMTD/stylemcp", - "source_code_url": "https://github.com/distinctlydeveloped/stylemcp", + "id": 2322, + "url": "https://www.pulsemcp.com/servers/a2cr", + "name": "A2CR", + "description": "A2CR provides AI coding agents with persistent context across sessions through two mechanisms: WorkBaton, which stores encrypted resume checkpoints for resuming long tasks in fresh sessions, and WorkStash, for temporary cross-session notes. Client-side encryption ensures the server stores only ciphertext, supporting Claude Code, Codex, and Roo Code.", + "homepage_url": "https://github.com/a2cr/a2cr", + "source_code_url": "https://github.com/a2cr/a2cr", "github_stars": 0, "package_registry": null, "package_name": null, @@ -8150,15 +8102,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2176, - "url": "https://www.pulsemcp.com/servers/3dstreet", - "name": "3DStreet", - "description": "3DStreet is a web-based 3D scene editor that enables AI clients to drive open scenes from Claude Desktop or Claude Code via MCP tool calls. It allows programmatic creation and manipulation of 3D street and urban scenes.", - "homepage_url": "https://3dstreet.app", - "source_code_url": "https://github.com/3dstreet/3dstreet-mcp", + "id": 2333, + "url": "https://www.pulsemcp.com/servers/aalexuser-wait", + "name": "Wait", + "description": "Enables AI agents to pause execution by waiting for a specified number of seconds, monitoring a process ID until it exits, or combining both to wait until the first condition completes. Useful for coordinating asynchronous workflows and build processes.", + "homepage_url": null, + "source_code_url": "https://github.com/aalexuser/mcp-wait", "github_stars": 0, "package_registry": null, "package_name": null, @@ -8166,15 +8118,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2439, - "url": "https://www.pulsemcp.com/servers/achilliesbot-agentiam", - "name": "AgentIAM", - "description": "Access AgentIAM's 18 x402 endpoints for agent safety checks, audit and policy validation, intelligence analysis, knowledge graphs, and signal processing on Base Mainnet. Communicates via stdio and exposes each endpoint as an MCP tool. Installable via npm.", - "homepage_url": "https://github.com/achilliesbot/agentiam-mcp", - "source_code_url": "https://github.com/achilliesbot/agentiam-mcp", + "id": 2190, + "url": "https://www.pulsemcp.com/servers/4rgon4ut-sutra", + "name": "Sutra", + "description": "Provides a context engineering framework for AI agents with cognitive tools, memory structures, and agent patterns. Enables structured context management and pattern-based agent behavior.", + "homepage_url": "https://github.com/4rgon4ut/sutra", + "source_code_url": "https://github.com/4rgon4ut/sutra", "github_stars": 0, "package_registry": null, "package_name": null, @@ -8182,7 +8134,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2419, @@ -8198,7 +8150,7 @@ "remote_url": "https://flux.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2420, @@ -8214,31 +8166,31 @@ "remote_url": "https://luma.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2424, - "url": "https://www.pulsemcp.com/servers/acedatacloud-seedream", - "name": "AceDataCloud Seedream", - "description": "Generate images using ByteDance Seedream AI models through the AceDataCloud unified API platform. Supports text-to-image generation with customizable parameters. Available via PyPI for self-hosted deployments.", - "homepage_url": "https://seedream.mcp.acedata.cloud", - "source_code_url": "https://github.com/acedatacloud/seedreammcp", + "id": 2108, + "url": "https://www.pulsemcp.com/servers/0rkz-byte-protocol", + "name": "Byte Protocol", + "description": "Interact with the Byte Protocol data marketplace on Arbitrum Sepolia to search publishers, check subscriptions, view network statistics, and perform testnet operations. Supports both read and write operations including requesting testnet tokens, subscribing to data feeds, registering as a publisher, and publishing data to the blockchain.", + "homepage_url": "https://github.com/0rkz/byte-mcp-server", + "source_code_url": "https://github.com/0rkz/byte-mcp-server", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://mcp.payperbyte.io/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2442, - "url": "https://www.pulsemcp.com/servers/achreftlili-code-index", - "name": "Code Index", - "description": "Code Index provides SQLite-backed hybrid search combining vector embeddings and full-text search for code repositories. Supports Voyage and Ollama embedding backends for semantic code search, enabling AI agents to efficiently locate code across large codebases.", - "homepage_url": "https://github.com/achreftlili/code-index", - "source_code_url": "https://github.com/achreftlili/code-index", + "id": 2342, + "url": "https://www.pulsemcp.com/servers/aaronmurillo01-secure-github-ops", + "name": "Secure GitHub Ops", + "description": "A GitHub automation server that implements an approval gate pattern for safe AI-driven repository operations. Every write operation (creating issues, opening pull requests, adding comments) creates a pending action that requires explicit admin approval before execution. Features role-based access control with operator and admin roles, comprehensive logging with correlation IDs, rate limiting, retry logic with exponential backoff, and repository access restrictions.", + "homepage_url": null, + "source_code_url": "https://github.com/aaronmurillo01/secure-github-ops", "github_stars": 0, "package_registry": null, "package_name": null, @@ -8246,63 +8198,63 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2325, - "url": "https://www.pulsemcp.com/servers/a7om-pricing-intelligence", - "name": "ATOM Pricing Intelligence", - "description": "ATOM Pricing Intelligence provides comprehensive benchmarking data for AI inference pricing. It aggregates pricing information across numerous vendors and SKUs, offering price indexes that help teams compare costs and make informed infrastructure decisions. The service includes both a hosted endpoint and an npm package for local use.", - "homepage_url": "https://a7om.com/mcp", - "source_code_url": "https://github.com/a7om-ai/atom-mcp-server", + "id": 2424, + "url": "https://www.pulsemcp.com/servers/acedatacloud-seedream", + "name": "AceDataCloud Seedream", + "description": "Generate images using ByteDance Seedream AI models through the AceDataCloud unified API platform. Supports text-to-image generation with customizable parameters. Available via PyPI for self-hosted deployments.", + "homepage_url": "https://seedream.mcp.acedata.cloud", + "source_code_url": "https://github.com/acedatacloud/seedreammcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://atom-mcp-server-production.up.railway.app/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2358, - "url": "https://www.pulsemcp.com/servers/aaymeloglu-venmo", - "name": "Venmo", - "description": "Connects to Venmo's payment platform via the unofficial venmo-api library to enable sending money, requesting payments, searching users, retrieving payment methods, accessing friend lists, and viewing user profiles. Supports privacy settings and funding source selection for transactions.", - "homepage_url": null, - "source_code_url": "https://github.com/aaymeloglu/venmo-mcp", + "id": 2425, + "url": "https://www.pulsemcp.com/servers/acedatacloud-serp", + "name": "AceDataCloud SERP", + "description": "Access Google search results via SERP API through the AceDataCloud unified API platform. Retrieve search engine results pages with structured data extraction. Available as a hosted service or self-hosted via PyPI.", + "homepage_url": "https://serp.mcp.acedata.cloud", + "source_code_url": "https://github.com/acedatacloud/serpmcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://serp.mcp.acedata.cloud/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2347, - "url": "https://www.pulsemcp.com/servers/aaronsb-confluence-cloud-v2", - "name": "Confluence Cloud", - "description": "Provides structured Confluence page editing with session-based change tracking, enabling surgical edits to individual blocks without full-page rewrites. Supports native Confluence macros including status badges, info panels, and expand blocks. Includes GraphQL-based navigation for accurate relationship discovery, backlinks, and forward links. Offers tools for content management, media handling, space operations, and CQL search.", - "homepage_url": "https://github.com/aaronsb/confluence-cloud", - "source_code_url": "https://github.com/aaronsb/confluence-cloud", + "id": 2426, + "url": "https://www.pulsemcp.com/servers/acedatacloud-shorturl", + "name": "AceDataCloud ShortURL", + "description": "Shorten and manage URLs through the AceDataCloud unified API platform. Create short links, track click analytics, and manage URL redirects. Available as a hosted service or self-hosted via PyPI.", + "homepage_url": "https://shorturl.mcp.acedata.cloud", + "source_code_url": "https://github.com/acedatacloud/shorturlmcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://shorturl.mcp.acedata.cloud/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2342, - "url": "https://www.pulsemcp.com/servers/aaronmurillo01-secure-github-ops", - "name": "Secure GitHub Ops", - "description": "A GitHub automation server that implements an approval gate pattern for safe AI-driven repository operations. Every write operation (creating issues, opening pull requests, adding comments) creates a pending action that requires explicit admin approval before execution. Features role-based access control with operator and admin roles, comprehensive logging with correlation IDs, rate limiting, retry logic with exponential backoff, and repository access restrictions.", - "homepage_url": null, - "source_code_url": "https://github.com/aaronmurillo01/secure-github-ops", + "id": 2429, + "url": "https://www.pulsemcp.com/servers/acedatacloud-veo", + "name": "AceDataCloud Veo", + "description": "Generate AI videos using Google Veo models through the AceDataCloud unified API platform. Supports text-to-video generation with customizable parameters. Available via PyPI for self-hosted deployments.", + "homepage_url": "https://veo.mcp.acedata.cloud", + "source_code_url": "https://github.com/acedatacloud/veomcp", "github_stars": 0, "package_registry": null, "package_name": null, @@ -8310,103 +8262,103 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2340, - "url": "https://www.pulsemcp.com/servers/aarna-ai-atv", - "name": "ATV by Aarna", - "description": "Connects to Aarna's tokenized yield vault infrastructure on Ethereum and Base networks. Offers 19 tools spanning vault discovery, performance metrics (NAV, TVL, APY), transaction building for deposits and withdrawals, queued withdrawal flows, and portfolio tracking. Supports both instant and delayed withdrawal mechanisms with operational status checks before transaction construction.", - "homepage_url": "https://aarna.ai", - "source_code_url": "https://github.com/aarna-ai/atv-sdk/tree/HEAD/packages/mcp-server", + "id": 2430, + "url": "https://www.pulsemcp.com/servers/acedata-hailuo", + "name": "AceDataCloud Hailuo", + "description": "AI video generation through the Hailuo (MiniMax) model on the AceDataCloud platform, supporting text-to-video creation. Requires an AceDataCloud API token from platform.acedata.cloud.", + "homepage_url": "https://github.com/AceDataCloud/HailuoMCP", + "source_code_url": "https://github.com/acedatacloud/hailuomcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://atv-api.aarna.ai/mcp", + "remote_url": "https://hailuo.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2190, - "url": "https://www.pulsemcp.com/servers/4rgon4ut-sutra", - "name": "Sutra", - "description": "Provides a context engineering framework for AI agents with cognitive tools, memory structures, and agent patterns. Enables structured context management and pattern-based agent behavior.", - "homepage_url": "https://github.com/4rgon4ut/sutra", - "source_code_url": "https://github.com/4rgon4ut/sutra", + "id": 2431, + "url": "https://www.pulsemcp.com/servers/acedata-kling", + "name": "AceDataCloud Kling", + "description": "AI video generation through the Kling model on the AceDataCloud platform, supporting text-to-video and image-to-video creation. Requires an AceDataCloud API token from platform.acedata.cloud.", + "homepage_url": "https://github.com/AceDataCloud/KlingMCP", + "source_code_url": "https://github.com/acedatacloud/klingmcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://kling.mcp.acedata.cloud/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2101, - "url": "https://www.pulsemcp.com/servers/0580iris-lang-x711", - "name": "x711", - "description": "Provides a pay-per-use tool API for AI agents with support for free tier access, x402 USDC micropayments, and API key authentication. Enables agent developers to access tools across any agent framework or chain through a unified endpoint.", - "homepage_url": "https://x711.io", - "source_code_url": null, - "github_stars": null, + "id": 2432, + "url": "https://www.pulsemcp.com/servers/acedata-producer", + "name": "AceDataCloud Producer", + "description": "AI music generation through the Producer/Riffusion model on the AceDataCloud platform, supporting text-to-music composition. Requires an AceDataCloud API token from platform.acedata.cloud.", + "homepage_url": "https://github.com/AceDataCloud/ProducerMCP", + "source_code_url": "https://github.com/acedatacloud/producermcp", + "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://x711.io/mcp", + "remote_url": "https://producer.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2191, - "url": "https://www.pulsemcp.com/servers/52choujiang-douyin-insights", - "name": "Douyin Insights", - "description": "Hosted MCP server providing Douyin (Chinese short video platform) content analytics. Retrieve work details, comments, creator profiles, creator work lists, and perform keyword searches. Requires an API key from SocialDataX (社媒数据助手), the underlying data provider. No source code is publicly available; the endpoint is operated by 52choujiang.", - "homepage_url": null, - "source_code_url": null, - "github_stars": null, + "id": 2433, + "url": "https://www.pulsemcp.com/servers/acedata-wan", + "name": "AceDataCloud Wan", + "description": "AI video generation through the Wan model on the AceDataCloud platform, supporting text-to-video and image-to-video creation. Requires an AceDataCloud API token from platform.acedata.cloud.", + "homepage_url": "https://github.com/AceDataCloud/WanMCP", + "source_code_url": "https://github.com/acedatacloud/wanmcp", + "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://mcp.52choujiang.com/douyin/mcp", + "remote_url": "https://wan.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2363, - "url": "https://www.pulsemcp.com/servers/abbyseo", - "name": "AbbySEO", - "description": "SEO scanning MCP exposing tools for submitting URL audits and retrieving structured findings. Checks 20+ on-page, technical, and content signals including Core Web Vitals, crawlability, and schema markup, with free basic results and paid complete remediation reports.", - "homepage_url": "https://www.abbyseo.com", - "source_code_url": null, - "github_stars": null, + "id": 2313, + "url": "https://www.pulsemcp.com/servers/a-001-byte-eyeshot-cad", + "name": "Eyeshot CAD", + "description": "Provides AI-driven control of CAD operations for applications built on the devDept Eyeshot SDK, a .NET-based CAD component library. Exposes geometry creation, model manipulation, and visualization operations as MCP tools, enabling natural language-driven CAD workflows within Eyeshot-powered applications. Targeted at developers building engineering and design tools on top of the Eyeshot platform.", + "homepage_url": null, + "source_code_url": "https://github.com/a-001-byte/tesseract-26-eyeshot-mcp", + "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://www.abbyseo.com/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2450, - "url": "https://www.pulsemcp.com/servers/actiongate", - "name": "ActionGate", - "description": "ActionGate is a payment-gated middleware service for AI agent tool access, routing tool calls through a standardized proxy with configurable schemas and USDC micropayments on Base via the x402 protocol. It provides a remote MCP server for AI agents and coding editors with 50 free daily calls per tool bucket, compatible with Claude, VS Code, Windsurf, and Cursor. Custom proxy configurations allow operators to bring their own APIs with adjustable pricing and headers.", - "homepage_url": "https://actiongate.xyz", + "id": 2101, + "url": "https://www.pulsemcp.com/servers/0580iris-lang-x711", + "name": "x711", + "description": "Provides a pay-per-use tool API for AI agents with support for free tier access, x402 USDC micropayments, and API key authentication. Enables agent developers to access tools across any agent framework or chain through a unified endpoint.", + "homepage_url": "https://x711.io", "source_code_url": null, "github_stars": null, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://api.actiongate.xyz/mcp", + "remote_url": "https://x711.io/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2149, @@ -8422,7 +8374,7 @@ "remote_url": "https://www.1stdibs.com/soa/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2135, @@ -8438,7 +8390,23 @@ "remote_url": "https://mcp.123elec.com/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" + }, + { + "id": 2379, + "url": "https://www.pulsemcp.com/servers/abhinavala-context-cloud", + "name": "Context Cloud", + "description": "Context Cloud delivers persistent AI memory for teams and individuals, enabling AI agents to store and retrieve knowledge chunks across sessions and tools. It supports shared team workspaces with typed memory entries and provides cross-tool compatibility. Access is via a hosted remote endpoint at api.contextcloud.pro.", + "homepage_url": "https://contextcloud.pro", + "source_code_url": "https://github.com/abhinavala/cntxtv2", + "github_stars": null, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": "https://api.contextcloud.pro/mcp/protocol", + "is_remote": true, + "source": "pulsemcp", + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2345, @@ -8454,7 +8422,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2171, @@ -8470,7 +8438,7 @@ "remote_url": "https://mcp.31st.ai/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { "id": 2183, @@ -8486,23 +8454,55 @@ "remote_url": "https://api.402.bot/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" }, { - "id": 2379, - "url": "https://www.pulsemcp.com/servers/abhinavala-context-cloud", - "name": "Context Cloud", - "description": "Context Cloud delivers persistent AI memory for teams and individuals, enabling AI agents to store and retrieve knowledge chunks across sessions and tools. It supports shared team workspaces with typed memory entries and provides cross-tool compatibility. Access is via a hosted remote endpoint at api.contextcloud.pro.", - "homepage_url": "https://contextcloud.pro", - "source_code_url": "https://github.com/abhinavala/cntxtv2", + "id": 2363, + "url": "https://www.pulsemcp.com/servers/abbyseo", + "name": "AbbySEO", + "description": "SEO scanning MCP exposing tools for submitting URL audits and retrieving structured findings. Checks 20+ on-page, technical, and content signals including Core Web Vitals, crawlability, and schema markup, with free basic results and paid complete remediation reports.", + "homepage_url": "https://www.abbyseo.com", + "source_code_url": null, "github_stars": null, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://api.contextcloud.pro/mcp/protocol", + "remote_url": "https://www.abbyseo.com/mcp", + "is_remote": true, + "source": "pulsemcp", + "updated_at": "2026-05-30T14:13:14.511952+00:00" + }, + { + "id": 2191, + "url": "https://www.pulsemcp.com/servers/52choujiang-douyin-insights", + "name": "Douyin Insights", + "description": "Hosted MCP server providing Douyin (Chinese short video platform) content analytics. Retrieve work details, comments, creator profiles, creator work lists, and perform keyword searches. Requires an API key from SocialDataX (社媒数据助手), the underlying data provider. No source code is publicly available; the endpoint is operated by 52choujiang.", + "homepage_url": null, + "source_code_url": null, + "github_stars": null, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": "https://mcp.52choujiang.com/douyin/mcp", + "is_remote": true, + "source": "pulsemcp", + "updated_at": "2026-05-30T14:13:14.511952+00:00" + }, + { + "id": 2450, + "url": "https://www.pulsemcp.com/servers/actiongate", + "name": "ActionGate", + "description": "ActionGate is a payment-gated middleware service for AI agent tool access, routing tool calls through a standardized proxy with configurable schemas and USDC micropayments on Base via the x402 protocol. It provides a remote MCP server for AI agents and coding editors with 50 free daily calls per tool bucket, compatible with Claude, VS Code, Windsurf, and Cursor. Custom proxy configurations allow operators to bring their own APIs with adjustable pricing and headers.", + "homepage_url": "https://actiongate.xyz", + "source_code_url": null, + "github_stars": null, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": "https://api.actiongate.xyz/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-05-30T13:32:53.595818+00:00" + "updated_at": "2026-05-30T14:13:14.511952+00:00" } ], "service_status": [ @@ -8514,7 +8514,7 @@ "indicator": "minor", "description": "Minor Service Outage", "operational": false, - "updated_at": "2026-05-30T13:32:24.274058+00:00" + "updated_at": "2026-05-30T14:12:42.619071+00:00" }, { "id": 10, @@ -8524,7 +8524,7 @@ "indicator": "minor", "description": "Partially Degraded Service", "operational": false, - "updated_at": "2026-05-30T13:32:24.274058+00:00" + "updated_at": "2026-05-30T14:12:42.619071+00:00" }, { "id": 2, @@ -8534,7 +8534,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-05-30T13:32:24.274058+00:00" + "updated_at": "2026-05-30T14:12:42.619071+00:00" }, { "id": 11, @@ -8544,7 +8544,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-05-30T13:32:24.274058+00:00" + "updated_at": "2026-05-30T14:12:42.619071+00:00" }, { "id": 6, @@ -8554,7 +8554,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-05-30T13:32:24.274058+00:00" + "updated_at": "2026-05-30T14:12:42.619071+00:00" }, { "id": 3, @@ -8564,7 +8564,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-05-30T13:32:24.274058+00:00" + "updated_at": "2026-05-30T14:12:42.619071+00:00" }, { "id": 5, @@ -8574,7 +8574,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-05-30T13:32:24.274058+00:00" + "updated_at": "2026-05-30T14:12:42.619071+00:00" }, { "id": 1, @@ -8584,7 +8584,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-05-30T13:32:24.274058+00:00" + "updated_at": "2026-05-30T14:12:42.619071+00:00" }, { "id": 7, @@ -8594,7 +8594,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-05-30T13:32:24.274058+00:00" + "updated_at": "2026-05-30T14:12:42.619071+00:00" }, { "id": 9, @@ -8604,7 +8604,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-05-30T13:32:24.274058+00:00" + "updated_at": "2026-05-30T14:12:42.619071+00:00" }, { "id": 8, @@ -8614,7 +8614,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-05-30T13:32:24.274058+00:00" + "updated_at": "2026-05-30T14:12:42.619071+00:00" } ], "ai_news": [ @@ -8625,7 +8625,7 @@ "source": "AWS ML", "summary": "This post demonstrates a comprehensive observability solution using Amazon Managed Grafana dashboards that provides a holistic view of both quality and quantity for LLMs served on Amazon SageMaker AI endpoints with inference components.", "published_at": "2026-05-29T23:36:58+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 16, @@ -8634,7 +8634,7 @@ "source": "Google AI", "summary": "We used Google AI Studio to vibe code a quiz about our top I/O 2026 announcements.", "published_at": "2026-05-29T19:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 17, @@ -8643,16 +8643,7 @@ "source": "Google AI", "summary": "Gemini Omni & Gemini 3.5 hero", "published_at": "2026-05-29T17:30:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" - }, - { - "id": 18, - "url": "https://blog.google/innovation-and-ai/technology/ai/university-waterloo-labs/", - "title": "Check out real-life AI prototypes from the Futures Lab.", - "source": "Google AI", - "summary": "University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.", - "published_at": "2026-05-29T12:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 2, @@ -8661,7 +8652,7 @@ "source": "OpenAI", "summary": "How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.", "published_at": "2026-05-29T12:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 1, @@ -8670,7 +8661,16 @@ "source": "OpenAI", "summary": "Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases.", "published_at": "2026-05-29T12:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" + }, + { + "id": 18, + "url": "https://blog.google/innovation-and-ai/technology/ai/university-waterloo-labs/", + "title": "Check out real-life AI prototypes from the Futures Lab.", + "source": "Google AI", + "summary": "University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.", + "published_at": "2026-05-29T12:00:00+00:00", + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 86, @@ -8679,7 +8679,7 @@ "source": "Simon Willison", "summary": "Release: datasette 1.0a31 Another significant alpha release, with two new headline features. Datasette now offers users with the necessary permissions the ability to both execute write queries against their database and to save stored queries (renamed from \"canned queries\") both ", "published_at": "2026-05-29T03:32:02+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 3, @@ -8688,7 +8688,7 @@ "source": "OpenAI", "summary": "OpenAI launches Rosalind Biodefense, expanding trusted access to GPT-Rosalind for vetted developers and U.S. government partners advancing biodefense, public health, and pandemic preparedness through frontier AI.", "published_at": "2026-05-29T03:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 87, @@ -8697,16 +8697,7 @@ "source": "Simon Willison", "summary": "The most interesting thing about Anthropic's $65B Series H announcement is this line (emphasis mine): Since our Series G in February, adoption has continued to grow across global enterprise customers, and our run-rate revenue crossed $47 billion earlier this month. Anthropic have", "published_at": "2026-05-29T01:23:08+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" - }, - { - "id": 46, - "url": "https://huggingface.co/blog/torch-profiler", - "title": "Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler", - "source": "Hugging Face", - "summary": null, - "published_at": "2026-05-29T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 4, @@ -8715,7 +8706,16 @@ "source": "OpenAI", "summary": "OpenAI shares guidance on third-party AI evaluations, covering how to assess model capabilities, safeguards, and validity for frontier systems.", "published_at": "2026-05-29T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" + }, + { + "id": 46, + "url": "https://huggingface.co/blog/torch-profiler", + "title": "Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler", + "source": "Hugging Face", + "summary": null, + "published_at": "2026-05-29T00:00:00+00:00", + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 88, @@ -8724,7 +8724,7 @@ "source": "Simon Willison", "summary": "Anthropic shipped Claude Opus 4.8 today. My favourite thing about it is this note in the release announcement: Users will find Opus 4.8 to be a modest but tangible improvement on its predecessor. There’s still more to be done: we’re working on developing and releasing models that", "published_at": "2026-05-28T23:59:50+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 89, @@ -8733,7 +8733,7 @@ "source": "Simon Willison", "summary": "Release: llm-anthropic 0.25.1 New model: Claude Opus 4.8 (claude-opus-4.8). New -o fast 1 option for fast mode, for organizations with that feature enabled on their account. Default max_tokens for each model now defaults to that model's maximum output rather than 8,192. #72 See a", "published_at": "2026-05-28T23:54:56+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 62, @@ -8742,7 +8742,7 @@ "source": "AWS ML", "summary": "Azercell Telecom LLC, Azerbaijan's leading telecommunications provider, wanted to build an Azerbaijani large language model (LLM) on Amazon SageMaker AI for telecom use cases and a customer-facing chatbot. The challenge: adapting foundation models (FMs) to a morphologically rich ", "published_at": "2026-05-28T21:54:06+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 63, @@ -8751,7 +8751,7 @@ "source": "AWS ML", "summary": "In this post, you learn how to build a custom portal with embedded SageMaker AI MLflow Apps UI. You walk through the architecture pattern behind a React front end paired with a Flask reverse proxy that handles AWS Signature Version 4 (SigV4) authentication, deploy the entire stac", "published_at": "2026-05-28T20:39:22+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 64, @@ -8760,7 +8760,7 @@ "source": "AWS ML", "summary": "In this post, we demonstrate how to build a secure Flask-based MLflow proxy service that provides HTTPS access to Amazon SageMaker MLflow without requiring the MLflow SDK. This solution is for organizations undergoing cloud transformation who want to preserve their existing ML wo", "published_at": "2026-05-28T20:35:44+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 65, @@ -8769,7 +8769,7 @@ "source": "AWS ML", "summary": "This post combines learnings from LangChain’s work on evaluating deep agents and Anthropic’s guide to demystifying evals for AI agents into a practical guide. In this post, you will learn how to: 1) apply five evaluation patterns for deep agents, 2) build offline evaluations usin", "published_at": "2026-05-28T20:32:23+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 90, @@ -8778,7 +8778,7 @@ "source": "Simon Willison", "summary": "Tool: markdown-svg-renderer A slightly customized Markdown rendering tool with special treatment for fenced code SVG blocks - it both renders the image and provides a tab for switching to the code view. You can paste in Markdown or give it a URL to a CORS-enabled Markdown file or", "published_at": "2026-05-28T19:45:14+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 66, @@ -8787,7 +8787,7 @@ "source": "AWS ML", "summary": "Agent evaluation is most powerful when you combine fast-moving online signals with stable offline baselines. To understand whether your agent is truly improving over time, you need a fixed benchmark alongside your changing real-world traffic. Managing test cases for evaluation ba", "published_at": "2026-05-28T18:10:47+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 67, @@ -8796,7 +8796,7 @@ "source": "AWS ML", "summary": "This post covers Opus 4.8's improvements and practical guidance for AI engineers integrating the model into agentic systems and production inference workloads on Amazon Bedrock.", "published_at": "2026-05-28T17:51:32+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 68, @@ -8805,7 +8805,7 @@ "source": "AWS ML", "summary": "This post demonstrates that integration in action by automating one of the most labor-intensive workflows in financial services: anti-money laundering (AML) alert triage. You will build a triage workflow using Amazon Quick Flows and Snowflake Cortex, connected through the Amazon ", "published_at": "2026-05-28T16:41:07+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 19, @@ -8814,7 +8814,7 @@ "source": "Google AI", "summary": "The colorful I/O logo against a black background, surrounded by stills from the I/O keynote", "published_at": "2026-05-28T15:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 5, @@ -8823,7 +8823,7 @@ "source": "OpenAI", "summary": "Learn how Endava uses Codex to build an agentic organization, accelerating software delivery and reducing requirements analysis from weeks to hours.", "published_at": "2026-05-28T12:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 6, @@ -8832,7 +8832,7 @@ "source": "OpenAI", "summary": "Explore OpenAI’s Frontier Governance Framework and how our AI safety, security, and risk practices align with emerging EU and California regulations.", "published_at": "2026-05-28T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 7, @@ -8841,7 +8841,7 @@ "source": "OpenAI", "summary": "MUFG uses ChatGPT Enterprise to build an AI-native organization, improve workflows, and deliver new AI-powered financial services at scale.", "published_at": "2026-05-28T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 91, @@ -8850,7 +8850,7 @@ "source": "Simon Willison", "summary": "sqlite AGENTS.md SQLite gained an AGENTS.md file five days ago - but it's not intended for their own development, it's presumably aimed at people who are pointing agents at the SQLite codebase. It includes: SQLite does not accept pull requests without prior agreement and/or accom", "published_at": "2026-05-27T23:44:37+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 69, @@ -8859,7 +8859,7 @@ "source": "AWS ML", "summary": "In this post, we explore how Amazon Bedrock Data Automation can accurately extract information from four common types of financial documents: bank statements, W-2 forms, 1099-B tax forms, and vendor contracts. We highlight the complexity in the documents, detail the custom extrac", "published_at": "2026-05-27T21:28:53+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 70, @@ -8868,7 +8868,7 @@ "source": "AWS ML", "summary": "In this post, we share how the AWS Generative AI Innovation Center (GenAIIC) collaborated with Works Human Intelligence (WHI) to build two AI agents using Amazon Bedrock AgentCore. We discuss the challenges encountered and the solutions that reduced costs by up to 97% while impro", "published_at": "2026-05-27T20:06:34+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 71, @@ -8877,7 +8877,7 @@ "source": "AWS ML", "summary": "In this post, we show you how Verizon Connect built and scaled an agentic AI solution to transform overwhelming fleet data into clear, actionable insights for 100,000 users daily. We walk you through the architectural decisions, implementation challenges, and measurable results t", "published_at": "2026-05-27T20:01:06+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 72, @@ -8886,7 +8886,7 @@ "source": "AWS ML", "summary": "In this post, we share how we built NarrateAI using Amazon Bedrock AgentCore to deliver business intelligence at scale for the AWS SMGS (Sales, Marketing and Global Services) organization. You will learn about: the two-layer architecture that separates batch processing from real-", "published_at": "2026-05-27T18:51:45+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 73, @@ -8895,7 +8895,7 @@ "source": "AWS ML", "summary": "As agent adoption scaled, we saw a common pattern emerge across enterprises, including our own sales organization: specialized agents deliver value, but without orchestration, users carry the cognitive load of choosing between them. At AWS Sales, this meant more than 20 domain-sp", "published_at": "2026-05-27T18:00:07+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 47, @@ -8904,7 +8904,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-27T17:20:29+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 92, @@ -8913,7 +8913,7 @@ "source": "Simon Willison", "summary": "Anthropic are strongly rumored to be about to have their first profitable quarter. Stories are circulating of companies surprised at how expensive their LLM bills are becoming from usage by their staff. I think this is because OpenAI and Anthropic have both found product-market f", "published_at": "2026-05-27T16:38:35+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 8, @@ -8922,7 +8922,7 @@ "source": "OpenAI", "summary": "Cisco and OpenAI are redefining enterprise engineering with Codex, helping Cisco scale AI-native development, accelerate AI Defense work, and automate defect remediation.", "published_at": "2026-05-27T11:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 9, @@ -8931,7 +8931,7 @@ "source": "OpenAI", "summary": "See how OpenAI, Thrive, and Crete built a self-improving tax agent with Codex, automating filings, improving accuracy, and accelerating workflows.", "published_at": "2026-05-27T07:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 93, @@ -8940,7 +8940,7 @@ "source": "Simon Willison", "summary": "PICARD: Data, shields up DATA: Brilliant! Shields can reduce damage we sustain. Not immunity. Not hubris. Just prudence. It's not precaution—it's strategy. [camera shakes] WORF: HULL BREACHES ON NINE DECKS DATA: Here's what happened: you told me to raise shields, and I didn't &md", "published_at": "2026-05-27T06:41:43+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 48, @@ -8949,16 +8949,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-27T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" - }, - { - "id": 10, - "url": "https://openai.com/index/election-safeguards-2026", - "title": "Election information and safeguards in 2026", - "source": "OpenAI", - "summary": "Ahead of global elections, we’re helping people access information, supporting cyber defenders, and increasing AI transparency", - "published_at": "2026-05-27T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 11, @@ -8967,7 +8958,16 @@ "source": "OpenAI", "summary": "Warp uses GPT-5.5 and OpenAI models to coordinate coding agents across local, cloud, and open-source development workflows.", "published_at": "2026-05-27T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" + }, + { + "id": 10, + "url": "https://openai.com/index/election-safeguards-2026", + "title": "Election information and safeguards in 2026", + "source": "OpenAI", + "summary": "Ahead of global elections, we’re helping people access information, supporting cyber defenders, and increasing AI transparency", + "published_at": "2026-05-27T00:00:00+00:00", + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 49, @@ -8976,7 +8976,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-27T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 94, @@ -8985,7 +8985,7 @@ "source": "Simon Willison", "summary": "The pressure Daniel Stenberg on the unprecedented level of pressure the curl team are facing right now thanks to the deluge of (credible) AI-assisted security issues being reported. The rate of incoming security reports is 4-5 times higher than it was in 2024 and double the speed", "published_at": "2026-05-26T23:48:45+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 74, @@ -8994,7 +8994,7 @@ "source": "AWS ML", "summary": "Amazon Bedrock AgentCore payments is now available in preview, it provides instant payments to paid external services with no manual billing setup per provider, stablecoin support for cost-effective microtransactions that make sub-cent transactions economically viable, and config", "published_at": "2026-05-26T17:57:18+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 75, @@ -9003,7 +9003,7 @@ "source": "AWS ML", "summary": "In this post, we provide a solution to build highly scalable, serverless multi-agent generative AI systems on AWS using LangGraph Agents as orchestrators integrated with Amazon Bedrock AgentCore Memory and Amazon Bedrock AgentCore Observability.", "published_at": "2026-05-26T17:41:26+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 95, @@ -9012,7 +9012,7 @@ "source": "Simon Willison", "summary": "Microsoft Copilot Cowork Exfiltrates Files The biggest challenge in designing agentic systems continues to be preventing them from enabling attackers to exfiltrate data. In this case Microsoft Copilot Cowork (yes, that's a real product name) was allowing agents to send emails to ", "published_at": "2026-05-26T15:36:48+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 96, @@ -9021,7 +9021,7 @@ "source": "Simon Willison", "summary": "A lot of the emails I get from founders are now written in a hard-hitting journalistic style. I know they're written by AI, because no founder ever wrote this way before. And once you realize something is written by AI, it's hard not to ignore it. I have never knowingly finished ", "published_at": "2026-05-26T15:02:30+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 97, @@ -9030,7 +9030,7 @@ "source": "Simon Willison", "summary": "I cannot believe I'm saying this, but getting the literal Pope to canonize your product's specific technical limitations as a spiritual treatise is the single greatest act of vendor lobbying I have ever seen. — Corey Quinn, on Anthropic co-founder Christopher Olah's influen", "published_at": "2026-05-26T02:28:54+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 98, @@ -9039,7 +9039,7 @@ "source": "Simon Willison", "summary": "Dropped this morning by the Vatican: Magnifica Humanitas of His Holiness Pope Leo XIV on Safeguarding the Human Person in the Time of Artificial Intelligence. This is a very interesting document. It's some of the clearest writing I've seen on the ethics of integrating AI into mod", "published_at": "2026-05-25T23:58:17+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 99, @@ -9048,7 +9048,7 @@ "source": "Simon Willison", "summary": "California Brown Pelican, Snowy Egret, California Sea Lion, Harbor Seal, in San Mateo County, CA, USWe took our new folding kayak out in the harbor and saw sea lions and harbor seals chilling on the docks.", "published_at": "2026-05-25T23:08:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 50, @@ -9057,7 +9057,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-25T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 12, @@ -9066,7 +9066,7 @@ "source": "OpenAI", "summary": "OpenAI partners with Grupo Folha and Grupo UOL to bring trusted Brazilian journalism to ChatGPT, expanding access to news with attribution and transparency.", "published_at": "2026-05-25T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 100, @@ -9075,7 +9075,7 @@ "source": "Simon Willison", "summary": "Release: datasette 1.0a30 The big new feature in this alpha is a new customizable \"Jump to...\" menu, described in detail in The extensible \"Jump to\" menu in Datasette 1.0a30 on the Datasette blog. You can try it out by hitting / on latest.datasette.io - it looks like this: The ne", "published_at": "2026-05-24T23:52:37+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 51, @@ -9084,7 +9084,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-23T00:02:03+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 20, @@ -9093,7 +9093,7 @@ "source": "Google AI", "summary": "Alphabet CEO Sundar Pichai in conversation on the I/O 2026 Dialogues stage", "published_at": "2026-05-22T18:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 52, @@ -9102,16 +9102,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-22T15:25:59+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" - }, - { - "id": 13, - "url": "https://openai.com/index/gartner-2026-agentic-coding-leader", - "title": "OpenAI named a Leader in enterprise coding agents by Gartner", - "source": "OpenAI", - "summary": "OpenAI is named a leader in the 2026 Gartner Magic Quadrant for Enterprise AI Coding Agents, with Codex recognized for innovation and enterprise-scale deployment.", - "published_at": "2026-05-22T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 14, @@ -9120,7 +9111,16 @@ "source": "OpenAI", "summary": "How Virgin Atlantic used Codex to ship its revamped mobile app on a fixed holiday travel deadline, reaching near-total unit test coverage and zero P1 defects.", "published_at": "2026-05-22T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" + }, + { + "id": 13, + "url": "https://openai.com/index/gartner-2026-agentic-coding-leader", + "title": "OpenAI named a Leader in enterprise coding agents by Gartner", + "source": "OpenAI", + "summary": "OpenAI is named a leader in the 2026 Gartner Magic Quadrant for Enterprise AI Coding Agents, with Codex recognized for innovation and enterprise-scale deployment.", + "published_at": "2026-05-22T00:00:00+00:00", + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 31, @@ -9129,7 +9129,7 @@ "source": "Google DeepMind", "summary": null, "published_at": "2026-05-21T19:46:42+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 15, @@ -9138,7 +9138,7 @@ "source": "OpenAI", "summary": "AdventHealth is using ChatGPT for Healthcare to streamline workflows, reduce administrative burden, and return more time to patient care.", "published_at": "2026-05-21T12:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 21, @@ -9147,7 +9147,7 @@ "source": "Google AI", "summary": "We’re helping build the state’s next-generation workforce and investing in energy programs.", "published_at": "2026-05-20T20:40:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 22, @@ -9156,7 +9156,7 @@ "source": "Google AI", "summary": "Image with the words \"Ready, Set, I/O\" and a colorful Gemini logo", "published_at": "2026-05-20T19:30:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 23, @@ -9165,7 +9165,7 @@ "source": "Google AI", "summary": "A small group meeting featuring two in-room participants and three participants on-screen.", "published_at": "2026-05-20T16:45:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 53, @@ -9174,16 +9174,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-19T18:38:09+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" - }, - { - "id": 26, - "url": "https://blog.google/innovation-and-ai/sundar-pichai-io-2026/", - "title": "I/O 2026: Welcome to the agentic Gemini era", - "source": "Google AI", - "summary": "a series of colorful icons representing Google I/O against a black background", - "published_at": "2026-05-19T17:45:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 27, @@ -9192,25 +9183,34 @@ "source": "Google AI", "summary": "Gemini 3.5 text and multi-colored star icon on an abstract blue background.", "published_at": "2026-05-19T17:45:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { - "id": 28, - "url": "https://blog.google/products-and-platforms/products/search/search-io-2026/", - "title": "A new era for AI Search", + "id": 26, + "url": "https://blog.google/innovation-and-ai/sundar-pichai-io-2026/", + "title": "I/O 2026: Welcome to the agentic Gemini era", "source": "Google AI", - "summary": "Text that reads \"The best of a search engine with the best of AI\"", + "summary": "a series of colorful icons representing Google I/O against a black background", "published_at": "2026-05-19T17:45:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { - "id": 29, - "url": "https://blog.google/products-and-platforms/products/google-one/google-ai-subscriptions/", - "title": "Everything new in our Google AI subscriptions, fresh from I/O 2026", + "id": 25, + "url": "https://blog.google/products-and-platforms/products/workspace/workspace-updates/", + "title": "New ways to create and get things done in Google Workspace", "source": "Google AI", - "summary": "The image shows colorful icons. The copy reads: More magic in one plan. More power, more perks, same price.", + "summary": "Google Workspace", + "published_at": "2026-05-19T17:45:00+00:00", + "updated_at": "2026-05-30T14:13:58.985274+00:00" + }, + { + "id": 24, + "url": "https://blog.google/products-and-platforms/products/search/ai-mode-us-insights/", + "title": "How AI Mode is changing the way people search in the U.S.", + "source": "Google AI", + "summary": "A graphic features the text \"How people are using AI Mode in the U.S.\" surrounded by colorful, stylized illustrations of a pencil, planet, banana, gift box, cursor, gamepad, and lipstick on a light blue background.", "published_at": "2026-05-19T17:45:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 30, @@ -9219,25 +9219,25 @@ "source": "Google AI", "summary": "At Google I/O 2026, we shared how we’re making AI more helpful for everyone. See everything we announced.", "published_at": "2026-05-19T17:45:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { - "id": 24, - "url": "https://blog.google/products-and-platforms/products/search/ai-mode-us-insights/", - "title": "How AI Mode is changing the way people search in the U.S.", + "id": 29, + "url": "https://blog.google/products-and-platforms/products/google-one/google-ai-subscriptions/", + "title": "Everything new in our Google AI subscriptions, fresh from I/O 2026", "source": "Google AI", - "summary": "A graphic features the text \"How people are using AI Mode in the U.S.\" surrounded by colorful, stylized illustrations of a pencil, planet, banana, gift box, cursor, gamepad, and lipstick on a light blue background.", + "summary": "The image shows colorful icons. The copy reads: More magic in one plan. More power, more perks, same price.", "published_at": "2026-05-19T17:45:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { - "id": 25, - "url": "https://blog.google/products-and-platforms/products/workspace/workspace-updates/", - "title": "New ways to create and get things done in Google Workspace", + "id": 28, + "url": "https://blog.google/products-and-platforms/products/search/search-io-2026/", + "title": "A new era for AI Search", "source": "Google AI", - "summary": "Google Workspace", + "summary": "Text that reads \"The best of a search engine with the best of AI\"", "published_at": "2026-05-19T17:45:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 54, @@ -9246,7 +9246,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-19T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 32, @@ -9255,7 +9255,7 @@ "source": "Google DeepMind", "summary": "Biologists use Co-Scientist to find novel factors that successfully rejuvenate human cells.", "published_at": "2026-05-18T18:21:39+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 55, @@ -9264,7 +9264,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-18T15:12:46+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 33, @@ -9273,7 +9273,7 @@ "source": "Google DeepMind", "summary": "We’re expanding access to Google AI Ultra subscribers globally and introducing a new capability powered by Street View.", "published_at": "2026-05-17T19:53:18+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 34, @@ -9282,7 +9282,7 @@ "source": "Google DeepMind", "summary": null, "published_at": "2026-05-17T19:50:57+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 35, @@ -9291,7 +9291,7 @@ "source": "Google DeepMind", "summary": null, "published_at": "2026-05-17T19:43:45+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 36, @@ -9300,7 +9300,7 @@ "source": "Google DeepMind", "summary": "A collection of science tools and experiments to expand the scale and precision of scientific exploration.", "published_at": "2026-05-17T13:50:34+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 37, @@ -9309,7 +9309,7 @@ "source": "Google DeepMind", "summary": "We're expanding our tools to help you understand how content was created and edited across the web.", "published_at": "2026-05-17T13:43:50+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 38, @@ -9318,7 +9318,7 @@ "source": "Google DeepMind", "summary": "Google DeepMind and Singapore partner to apply frontier AI to address complex challenges across health, education, and sustainability and more.", "published_at": "2026-05-16T09:13:34+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 39, @@ -9327,7 +9327,7 @@ "source": "Google DeepMind", "summary": "Clare Bryant uses Co-Scientist to identify genetic triggers in emerging infectious diseases.", "published_at": "2026-05-16T08:16:06+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 40, @@ -9336,7 +9336,7 @@ "source": "Google DeepMind", "summary": "Calico Life Sciences uses Co-Scientist to connect scattered findings and generate new leads in aging research.", "published_at": "2026-05-16T08:08:44+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 41, @@ -9345,7 +9345,7 @@ "source": "Google DeepMind", "summary": "Filippo Menolascina uses Co-Scientist to identify new liver disease treatments and explain why existing drugs only help certain patients.", "published_at": "2026-05-16T08:00:15+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 42, @@ -9354,7 +9354,7 @@ "source": "Google DeepMind", "summary": "Co-Scientist unites Boston Children’s Hospital and MIT’s labs to explore new RNA-based treatments for ALS.", "published_at": "2026-05-16T07:53:11+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 43, @@ -9363,7 +9363,7 @@ "source": "Google DeepMind", "summary": "Stanford geneticist uses Co-Scientist to help find new treatments for chronic liver disease and liver fibrosis.", "published_at": "2026-05-16T07:40:27+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 44, @@ -9372,7 +9372,7 @@ "source": "Google DeepMind", "summary": "Learn how our WeatherNext AI model help forecasters give communities unprecedented time to prepare ahead of the historic Hurricane Melissa.", "published_at": "2026-05-16T03:14:17+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 45, @@ -9381,7 +9381,7 @@ "source": "Google DeepMind", "summary": "Gemini 3.5 is built to help you execute complex, agentic workflows.", "published_at": "2026-05-15T22:50:12+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 56, @@ -9390,7 +9390,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-14T18:55:01+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 57, @@ -9399,7 +9399,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-14T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 58, @@ -9408,7 +9408,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-11T23:18:26+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 59, @@ -9417,7 +9417,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-06T19:06:55+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 60, @@ -9426,7 +9426,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-06T00:00:00+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 76, @@ -9435,7 +9435,7 @@ "source": "Microsoft AI", "summary": "The post A conversation with Kevin Scott: What’s next in AI appeared first on The AI Blog.", "published_at": "2022-12-06T17:29:09+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 77, @@ -9444,7 +9444,7 @@ "source": "Microsoft AI", "summary": "The post From Hot Wheels to handling content: How brands are using Microsoft AI to be more productive and imaginative appeared first on The AI Blog.", "published_at": "2022-10-12T16:00:02+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 78, @@ -9453,7 +9453,7 @@ "source": "Microsoft AI", "summary": "The post Microsoft open sources its ‘farm of the future’ toolkit appeared first on The AI Blog.", "published_at": "2022-10-06T14:58:15+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 79, @@ -9462,7 +9462,7 @@ "source": "Microsoft AI", "summary": "The post How data and AI will transform contact centres for financial services appeared first on The AI Blog.", "published_at": "2022-07-25T14:49:33+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 80, @@ -9471,7 +9471,7 @@ "source": "Microsoft AI", "summary": "The post AI-equipped drones study dolphins on the edge of extinction appeared first on The AI Blog.", "published_at": "2022-07-21T14:50:33+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 81, @@ -9480,7 +9480,7 @@ "source": "Microsoft AI", "summary": "The post Online math tutoring service uses AI to help boost students’ skills and confidence appeared first on The AI Blog.", "published_at": "2022-07-13T12:59:50+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 82, @@ -9489,7 +9489,7 @@ "source": "Microsoft AI", "summary": "The post AI-Mimi is building inclusive TV experiences for Deaf and Hard of Hearing user in Japan appeared first on The AI Blog.", "published_at": "2022-07-06T14:51:23+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 83, @@ -9498,7 +9498,7 @@ "source": "Microsoft AI", "summary": "The post Microsoft’s framework for building AI systems responsibly appeared first on The AI Blog.", "published_at": "2022-06-21T17:50:03+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 84, @@ -9507,7 +9507,7 @@ "source": "Microsoft AI", "summary": "The post Singapore develops Asia’s first AI-based mobile app for shark and ray fin identification to combat illegal wildlife trade appeared first on The AI Blog.", "published_at": "2022-06-08T21:04:42+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" }, { "id": 85, @@ -9516,7 +9516,7 @@ "source": "Microsoft AI", "summary": "The post The opportunity at home – can AI drive innovation in personal assistant devices and sign language? appeared first on The AI Blog.", "published_at": "2022-05-31T21:06:06+00:00", - "updated_at": "2026-05-30T13:33:39.085881+00:00" + "updated_at": "2026-05-30T14:13:58.985274+00:00" } ] } \ No newline at end of file