diff --git "a/dynamic_feed.json" "b/dynamic_feed.json" --- "a/dynamic_feed.json" +++ "b/dynamic_feed.json" @@ -1,16 +1,16 @@ { - "generated_at": "2026-06-02T12:30:52.258623+00:00", + "generated_at": "2026-06-02T12:36:25.730861+00:00", "license": "CC-BY-4.0 (attribution to https://dynamicfeed.ai)", "models": [ { - "id": 1209, + "id": 1211, "provider": "groq", - "model_id": "llama-3.1-8b-instant", - "display_name": "llama-3.1-8b-instant", + "model_id": "gemma-7b-it", + "display_name": "gemma-7b-it", "input_per_1m": 0.05, "output_per_1m": 0.08, "cached_input_per_1m": null, - "context_window": 128000, + "context_window": 8192, "max_output_tokens": 8192, "modalities": "text", "supports_tools": true, @@ -18,7 +18,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 154, @@ -36,17 +36,17 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1211, + "id": 1209, "provider": "groq", - "model_id": "gemma-7b-it", - "display_name": "gemma-7b-it", + "model_id": "llama-3.1-8b-instant", + "display_name": "llama-3.1-8b-instant", "input_per_1m": 0.05, "output_per_1m": 0.08, "cached_input_per_1m": null, - "context_window": 8192, + "context_window": 128000, "max_output_tokens": 8192, "modalities": "text", "supports_tools": true, @@ -54,7 +54,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 153, @@ -72,13 +72,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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, @@ -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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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, @@ -108,7 +108,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" + }, + { + "id": 1117, + "provider": "google", + "model_id": "gemini-2.0-flash-lite", + "display_name": "gemini-2.0-flash-lite", + "input_per_1m": 0.075, + "output_per_1m": 0.3, + "cached_input_per_1m": 0.0187, + "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": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1317, @@ -126,7 +144,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1218, @@ -144,25 +162,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" - }, - { - "id": 1117, - "provider": "google", - "model_id": "gemini-2.0-flash-lite", - "display_name": "gemini-2.0-flash-lite", - "input_per_1m": 0.075, - "output_per_1m": 0.3, - "cached_input_per_1m": 0.0187, - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1217, @@ -180,43 +180,43 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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": 1225, + "provider": "mistral", + "model_id": "devstral-small-2505", + "display_name": "devstral-small-2505", "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", + "output_per_1m": 0.3, + "cached_input_per_1m": null, + "context_window": 128000, + "max_output_tokens": 128000, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 278, - "provider": "google", - "model_id": "gemini-flash-lite-latest", - "display_name": "gemini-flash-lite-latest", + "id": 1253, + "provider": "mistral", + "model_id": "ministral-3-3b-2512", + "display_name": "ministral-3-3b-2512", "input_per_1m": 0.1, - "output_per_1m": 0.4, - "cached_input_per_1m": 0.01, - "context_window": 1048576, - "max_output_tokens": 65535, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1226, @@ -234,97 +234,97 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 104, - "provider": "openai", - "model_id": "gpt-4.1-nano", - "display_name": "gpt-4.1-nano", + "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": 1047576, - "max_output_tokens": 32768, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1250, - "provider": "mistral", - "model_id": "mistral-small", - "display_name": "mistral-small", + "id": 104, + "provider": "openai", + "model_id": "gpt-4.1-nano", + "display_name": "gpt-4.1-nano", "input_per_1m": 0.1, - "output_per_1m": 0.3, - "cached_input_per_1m": null, - "context_window": 32000, - "max_output_tokens": 8191, - "modalities": "text", + "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": 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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1253, - "provider": "mistral", - "model_id": "ministral-3-3b-2512", - "display_name": "ministral-3-3b-2512", + "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": 0.1, - "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": 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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1227, - "provider": "mistral", - "model_id": "devstral-small-latest", - "display_name": "devstral-small-latest", + "id": 278, + "provider": "google", + "model_id": "gemini-flash-lite-latest", + "display_name": "gemini-flash-lite-latest", "input_per_1m": 0.1, - "output_per_1m": 0.3, - "cached_input_per_1m": null, - "context_window": 256000, - "max_output_tokens": 256000, - "modalities": "text", + "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": 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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1115, @@ -342,7 +342,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1116, @@ -360,31 +360,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1119, - "provider": "google", - "model_id": "gemini-2.5-flash-lite", - "display_name": "gemini-2.5-flash-lite", + "id": 1227, + "provider": "mistral", + "model_id": "devstral-small-latest", + "display_name": "devstral-small-latest", "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", + "output_per_1m": 0.3, + "cached_input_per_1m": null, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1120, + "id": 1119, "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-2.5-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, @@ -396,16 +396,16 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1124, + "id": 1120, "provider": "google", - "model_id": "gemini-2.5-flash-lite-preview-06-17", - "display_name": "gemini-2.5-flash-lite-preview-06-17", + "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": 65535, "modalities": "text,image", @@ -414,25 +414,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1225, + "id": 1228, "provider": "mistral", - "model_id": "devstral-small-2505", - "display_name": "devstral-small-2505", + "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": 128000, - "max_output_tokens": 128000, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1097, @@ -468,115 +468,115 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1216, - "provider": "groq", - "model_id": "gpt-oss-120b", - "display_name": "gpt-oss-120b", + "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": 131072, - "max_output_tokens": 32766, - "modalities": "text", + "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": 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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 121, - "provider": "openai", - "model_id": "gpt-4o-mini-audio-preview", - "display_name": "gpt-4o-mini-audio-preview", + "id": 1256, + "provider": "mistral", + "model_id": "ministral-8b-2512", + "display_name": "ministral-8b-2512", "input_per_1m": 0.15, - "output_per_1m": 0.6, + "output_per_1m": 0.15, "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 16384, - "modalities": "text,audio", + "context_window": 262144, + "max_output_tokens": 262144, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 119, - "provider": "openai", - "model_id": "gpt-4o-mini", - "display_name": "gpt-4o-mini", + "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": 128000, - "max_output_tokens": 16384, - "modalities": "text,image", + "context_window": 131072, + "max_output_tokens": 32766, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1264, - "provider": "mistral", - "model_id": "pixtral-12b-2409", - "display_name": "pixtral-12b-2409", + "id": 122, + "provider": "openai", + "model_id": "gpt-4o-mini-audio-preview-2024-12-17", + "display_name": "gpt-4o-mini-audio-preview-2024-12-17", "input_per_1m": 0.15, - "output_per_1m": 0.15, + "output_per_1m": 0.6, "cached_input_per_1m": null, "context_window": 128000, - "max_output_tokens": 128000, - "modalities": "text,image", + "max_output_tokens": 16384, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1256, - "provider": "mistral", - "model_id": "ministral-8b-2512", - "display_name": "ministral-8b-2512", + "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, - "context_window": 262144, - "max_output_tokens": 262144, + "output_per_1m": 0.6, + "cached_input_per_1m": 0.075, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 126, @@ -594,31 +594,49 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 122, + "id": 120, "provider": "openai", - "model_id": "gpt-4o-mini-audio-preview-2024-12-17", - "display_name": "gpt-4o-mini-audio-preview-2024-12-17", + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 125, + "id": 1264, + "provider": "mistral", + "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": 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": "2026-06-02T12:33:52.504436+00:00" + }, + { + "id": 119, "provider": "openai", - "model_id": "gpt-4o-mini-search-preview", - "display_name": "gpt-4o-mini-search-preview", + "model_id": "gpt-4o-mini", + "display_name": "gpt-4o-mini", "input_per_1m": 0.15, "output_per_1m": 0.6, "cached_input_per_1m": 0.075, @@ -630,25 +648,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1254, - "provider": "mistral", - "model_id": "ministral-3-8b-2512", - "display_name": "ministral-3-8b-2512", - "input_per_1m": 0.15, - "output_per_1m": 0.15, - "cached_input_per_1m": null, - "context_window": 262144, - "max_output_tokens": 262144, - "modalities": "text,image", + "id": 1300, + "provider": "xai", + "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,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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1310, @@ -666,61 +684,79 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1299, - "provider": "xai", - "model_id": "grok-4-1-fast-reasoning-latest", - "display_name": "grok-4-1-fast-reasoning-latest", + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1293, - "provider": "xai", - "model_id": "grok-4-fast-reasoning", - "display_name": "grok-4-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, + "output_per_1m": 0.2, + "cached_input_per_1m": null, + "context_window": 8192, + "max_output_tokens": 8192, "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1294, + "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": "2026-06-02T12:33:52.504436+00:00" + }, + { + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1311, @@ -738,13 +774,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1298, + "id": 1299, "provider": "xai", - "model_id": "grok-4-1-fast-reasoning", - "display_name": "grok-4-1-fast-reasoning", + "model_id": "grok-4-1-fast-reasoning-latest", + "display_name": "grok-4-1-fast-reasoning-latest", "input_per_1m": 0.2, "output_per_1m": 0.5, "cached_input_per_1m": 0.05, @@ -756,31 +792,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 147, + "id": 4, "provider": "openai", - "model_id": "gpt-5.4-nano-2026-03-17", - "display_name": "gpt-5.4-nano-2026-03-17", + "model_id": "gpt-5.4-nano", + "display_name": "gpt-5.4-nano", "input_per_1m": 0.2, "output_per_1m": 1.25, "cached_input_per_1m": 0.02, @@ -792,13 +810,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 4, + "id": 147, "provider": "openai", - "model_id": "gpt-5.4-nano", - "display_name": "gpt-5.4-nano", + "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, @@ -810,13 +828,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1301, + "id": 1298, "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-reasoning", + "display_name": "grok-4-1-fast-reasoning", "input_per_1m": 0.2, "output_per_1m": 0.5, "cached_input_per_1m": 0.05, @@ -828,43 +846,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" - }, - { - "id": 1212, - "provider": "groq", - "model_id": "llama-guard-4-12b", - "display_name": "llama-guard-4-12b", - "input_per_1m": 0.2, - "output_per_1m": 0.2, - "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": "2026-06-02T12:28:19.347691+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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1297, @@ -882,10 +864,46 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 57, + "id": 1294, + "provider": "xai", + "model_id": "grok-4-fast-non-reasoning", + "display_name": "grok-4-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", + "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": "2026-06-02T12:33:52.504436+00:00" + }, + { + "id": 1293, + "provider": "xai", + "model_id": "grok-4-fast-reasoning", + "display_name": "grok-4-fast-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", + "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": "2026-06-02T12:33:52.504436+00:00" + }, + { + "id": 57, "provider": "openai", "model_id": "ft:gpt-4.1-nano-2025-04-14", "display_name": "ft:gpt-4.1-nano-2025-04-14", @@ -900,7 +918,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1309, @@ -918,31 +936,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1300, - "provider": "xai", - "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,image,audio", + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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, @@ -954,67 +972,67 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 152, - "provider": "openai", - "model_id": "gpt-5-mini-2025-08-07", - "display_name": "gpt-5-mini-2025-08-07", + "id": 1129, + "provider": "google", + "model_id": "gemini-3.1-flash-lite", + "display_name": "gemini-3.1-flash-lite", "input_per_1m": 0.25, - "output_per_1m": 2.0, + "output_per_1m": 1.5, "cached_input_per_1m": 0.025, - "context_window": 272000, - "max_output_tokens": 128000, - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 21, - "provider": "anthropic", - "model_id": "claude-3-haiku-20240307", - "display_name": "claude-3-haiku-20240307", + "id": 1258, + "provider": "mistral", + "model_id": "open-codestral-mamba", + "display_name": "open-codestral-mamba", "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, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1128, - "provider": "google", - "model_id": "gemini-3.1-flash-lite-preview", - "display_name": "gemini-3.1-flash-lite-preview", + "id": 151, + "provider": "openai", + "model_id": "gpt-5-mini", + "display_name": "gpt-5-mini", "input_per_1m": 0.25, - "output_per_1m": 1.5, + "output_per_1m": 2.0, "cached_input_per_1m": 0.025, - "context_window": 1048576, - "max_output_tokens": 65536, - "modalities": "text,image,audio", + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1129, + "id": 1128, "provider": "google", - "model_id": "gemini-3.1-flash-lite", - "display_name": "gemini-3.1-flash-lite", + "model_id": "gemini-3.1-flash-lite-preview", + "display_name": "gemini-3.1-flash-lite-preview", "input_per_1m": 0.25, "output_per_1m": 1.5, "cached_input_per_1m": 0.025, @@ -1026,31 +1044,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1223, - "provider": "mistral", - "model_id": "codestral-mamba-latest", - "display_name": "codestral-mamba-latest", + "id": 152, + "provider": "openai", + "model_id": "gpt-5-mini-2025-08-07", + "display_name": "gpt-5-mini-2025-08-07", "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, + "output_per_1m": 2.0, + "cached_input_per_1m": 0.025, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1259, + "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, @@ -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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1258, + "id": 1223, "provider": "mistral", - "model_id": "open-codestral-mamba", - "display_name": "open-codestral-mamba", + "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, @@ -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": "2026-06-02T12:28:19.347691+00:00" - }, - { - "id": 151, - "provider": "openai", - "model_id": "gpt-5-mini", - "display_name": "gpt-5-mini", - "input_per_1m": 0.25, - "output_per_1m": 2.0, - "cached_input_per_1m": 0.025, - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1100, @@ -1116,7 +1116,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1101, @@ -1134,43 +1134,43 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 40, + "id": 39, "provider": "deepseek", - "model_id": "deepseek-reasoner", - "display_name": "deepseek-reasoner", + "model_id": "deepseek-chat", + "display_name": "deepseek-chat", "input_per_1m": 0.28, "output_per_1m": 0.42, "cached_input_per_1m": 0.028, "context_window": 131072, - "max_output_tokens": 65536, + "max_output_tokens": 8192, "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 39, + "id": 40, "provider": "deepseek", - "model_id": "deepseek-chat", - "display_name": "deepseek-chat", + "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": 8192, + "max_output_tokens": 65536, "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1219, @@ -1188,31 +1188,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1261, + "id": 1221, "provider": "mistral", - "model_id": "open-mistral-nemo-2407", - "display_name": "open-mistral-nemo-2407", + "model_id": "codestral-2508", + "display_name": "codestral-2508", "input_per_1m": 0.3, - "output_per_1m": 0.3, + "output_per_1m": 0.9, "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 128000, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 270, + "id": 271, "provider": "google", - "model_id": "gemini-2.5-flash-native-audio-preview-09-2025", - "display_name": "gemini-2.5-flash-native-audio-preview-09-2025", + "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, @@ -1224,88 +1224,88 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 271, + "id": 281, "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-exp-1206", + "display_name": "gemini-exp-1206", "input_per_1m": 0.3, "output_per_1m": 2.5, - "cached_input_per_1m": null, + "cached_input_per_1m": 0.03, "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1291, - "provider": "xai", - "model_id": "grok-3-mini-latest", - "display_name": "grok-3-mini-latest", + "id": 1121, + "provider": "google", + "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": 0.5, + "output_per_1m": 2.5, "cached_input_per_1m": 0.075, - "context_window": 131072, - "max_output_tokens": 131072, - "modalities": "text", + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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": 277, + "provider": "google", + "model_id": "gemini-flash-latest", + "display_name": "gemini-flash-latest", "input_per_1m": 0.3, - "output_per_1m": 1.2, - "cached_input_per_1m": 0.15, - "context_window": 128000, - "max_output_tokens": 16384, - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1287, - "provider": "xai", - "model_id": "grok-3-mini-beta", - "display_name": "grok-3-mini-beta", + "id": 1118, + "provider": "google", + "model_id": "gemini-2.5-flash", + "display_name": "gemini-2.5-flash", "input_per_1m": 0.3, - "output_per_1m": 0.5, - "cached_input_per_1m": 0.075, - "context_window": 131072, - "max_output_tokens": 131072, - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 277, + "id": 1114, "provider": "google", - "model_id": "gemini-flash-latest", - "display_name": "gemini-flash-latest", + "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", @@ -1314,43 +1314,43 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1286, - "provider": "xai", - "model_id": "grok-3-mini", - "display_name": "grok-3-mini", + "id": 269, + "provider": "google", + "model_id": "gemini-2.5-flash-native-audio-latest", + "display_name": "gemini-2.5-flash-native-audio-latest", "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, + "output_per_1m": 2.5, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 281, - "provider": "google", - "model_id": "gemini-exp-1206", - "display_name": "gemini-exp-1206", + "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": 0.03, - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1260, @@ -1368,103 +1368,103 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1221, + "id": 1261, "provider": "mistral", - "model_id": "codestral-2508", - "display_name": "codestral-2508", + "model_id": "open-mistral-nemo-2407", + "display_name": "open-mistral-nemo-2407", "input_per_1m": 0.3, - "output_per_1m": 0.9, + "output_per_1m": 0.3, "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_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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 269, - "provider": "google", - "model_id": "gemini-2.5-flash-native-audio-latest", - "display_name": "gemini-2.5-flash-native-audio-latest", + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1114, - "provider": "google", - "model_id": "gemini-robotics-er-1.5-preview", - "display_name": "gemini-robotics-er-1.5-preview", + "id": 1286, + "provider": "xai", + "model_id": "grok-3-mini", + "display_name": "grok-3-mini", "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": 0.5, + "cached_input_per_1m": 0.075, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1118, + "id": 270, "provider": "google", - "model_id": "gemini-2.5-flash", - "display_name": "gemini-2.5-flash", + "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": 0.03, + "cached_input_per_1m": null, "context_window": 1048576, - "max_output_tokens": 65535, - "modalities": "text,image", - "supports_tools": true, - "supports_vision": true, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1121, - "provider": "google", - "model_id": "gemini-2.5-flash-preview-09-2025", - "display_name": "gemini-2.5-flash-preview-09-2025", + "id": 1291, + "provider": "xai", + "model_id": "grok-3-mini-latest", + "display_name": "grok-3-mini-latest", "input_per_1m": 0.3, - "output_per_1m": 2.5, + "output_per_1m": 0.5, "cached_input_per_1m": 0.075, - "context_window": 1048576, - "max_output_tokens": 65535, - "modalities": "text,image", + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1135, + "id": 1136, "provider": "google", - "model_id": "gemini-gemma-2-27b-it", - "display_name": "gemini-gemma-2-27b-it", + "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, @@ -1476,13 +1476,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1136, + "id": 1135, "provider": "google", - "model_id": "gemini-gemma-2-9b-it", - "display_name": "gemini-gemma-2-9b-it", + "model_id": "gemini-gemma-2-27b-it", + "display_name": "gemini-gemma-2-27b-it", "input_per_1m": 0.35, "output_per_1m": 1.05, "cached_input_per_1m": null, @@ -1494,79 +1494,61 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" - }, - { - "id": 102, - "provider": "openai", - "model_id": "gpt-4.1-mini", - "display_name": "gpt-4.1-mini", - "input_per_1m": 0.4, - "output_per_1m": 1.6, - "cached_input_per_1m": 0.1, - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1230, + "id": 1224, "provider": "mistral", - "model_id": "devstral-medium-latest", - "display_name": "devstral-medium-latest", + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1247, + "id": 1231, "provider": "mistral", - "model_id": "mistral-medium-2505", - "display_name": "mistral-medium-2505", + "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": 8191, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1224, - "provider": "mistral", - "model_id": "devstral-medium-2507", - "display_name": "devstral-medium-2507", + "id": 102, + "provider": "openai", + "model_id": "gpt-4.1-mini", + "display_name": "gpt-4.1-mini", "input_per_1m": 0.4, - "output_per_1m": 2.0, - "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 128000, - "modalities": "text", + "output_per_1m": 1.6, + "cached_input_per_1m": 0.1, + "context_window": 1047576, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1229, @@ -1584,34 +1566,52 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1231, + "id": 1248, "provider": "mistral", - "model_id": "devstral-2512", - "display_name": "devstral-2512", + "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": 256000, - "max_output_tokens": 256000, - "modalities": "text", + "context_window": 131072, + "max_output_tokens": 131072, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 103, - "provider": "openai", - "model_id": "gpt-4.1-mini-2025-04-14", - "display_name": "gpt-4.1-mini-2025-04-14", - "input_per_1m": 0.4, - "output_per_1m": 1.6, - "cached_input_per_1m": 0.1, + "id": 1249, + "provider": "mistral", + "model_id": "mistral-medium-3-1-2508", + "display_name": "mistral-medium-3-1-2508", + "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": "2026-06-02T12:33:52.504436+00:00" + }, + { + "id": 103, + "provider": "openai", + "model_id": "gpt-4.1-mini-2025-04-14", + "display_name": "gpt-4.1-mini-2025-04-14", + "input_per_1m": 0.4, + "output_per_1m": 1.6, + "cached_input_per_1m": 0.1, "context_window": 1047576, "max_output_tokens": 32768, "modalities": "text,image", @@ -1620,43 +1620,61 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1248, + "id": 1247, "provider": "mistral", - "model_id": "mistral-medium-latest", - "display_name": "mistral-medium-latest", + "model_id": "mistral-medium-2505", + "display_name": "mistral-medium-2505", "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", + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1249, + "id": 1230, "provider": "mistral", - "model_id": "mistral-medium-3-1-2508", - "display_name": "mistral-medium-3-1-2508", + "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, - "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": "2026-06-02T12:33:52.504436+00:00" + }, + { + "id": 89, + "provider": "openai", + "model_id": "gpt-3.5-turbo-0125", + "display_name": "gpt-3.5-turbo-0125", + "input_per_1m": 0.5, + "output_per_1m": 1.5, + "cached_input_per_1m": null, + "context_window": 16385, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1236, @@ -1674,7 +1692,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1237, @@ -1692,7 +1728,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1130, @@ -1710,13 +1746,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1243, + "id": 1244, "provider": "mistral", - "model_id": "mistral-large-3", - "display_name": "mistral-large-3", + "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, @@ -1728,13 +1764,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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, @@ -1746,13 +1782,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 89, + "id": 88, "provider": "openai", - "model_id": "gpt-3.5-turbo-0125", - "display_name": "gpt-3.5-turbo-0125", + "model_id": "gpt-3.5-turbo", + "display_name": "gpt-3.5-turbo", "input_per_1m": 0.5, "output_per_1m": 1.5, "cached_input_per_1m": null, @@ -1764,7 +1800,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1242, @@ -1782,43 +1818,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" - }, - { - "id": 88, - "provider": "openai", - "model_id": "gpt-3.5-turbo", - "display_name": "gpt-3.5-turbo", - "input_per_1m": 0.5, - "output_per_1m": 1.5, - "cached_input_per_1m": null, - "context_window": 16385, - "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": "2026-06-02T12:28:19.347691+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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1210, @@ -1854,7 +1854,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" + }, + { + "id": 123, + "provider": "openai", + "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": 0.3, + "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": "2026-06-02T12:33:52.504436+00:00" }, { "id": 124, @@ -1872,31 +1890,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 116, + "id": 158, "provider": "openai", - "model_id": "gpt-audio-mini", - "display_name": "gpt-audio-mini", + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1288, + "id": 1290, "provider": "xai", - "model_id": "grok-3-mini-fast", - "display_name": "grok-3-mini-fast", + "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, @@ -1908,43 +1926,43 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 118, + "id": 267, "provider": "openai", - "model_id": "gpt-audio-mini-2025-12-15", - "display_name": "gpt-audio-mini-2025-12-15", + "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": 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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 158, - "provider": "openai", - "model_id": "gpt-realtime-mini", - "display_name": "gpt-realtime-mini", + "id": 1289, + "provider": "xai", + "model_id": "grok-3-mini-fast-beta", + "display_name": "grok-3-mini-fast-beta", "input_per_1m": 0.6, - "output_per_1m": 2.4, - "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 4096, - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 266, @@ -1962,31 +1980,31 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 267, - "provider": "openai", - "model_id": "gpt-realtime-mini-2025-12-15", - "display_name": "gpt-realtime-mini-2025-12-15", + "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": 0.06, - "context_window": 128000, - "max_output_tokens": 4096, - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 117, + "id": 116, "provider": "openai", - "model_id": "gpt-audio-mini-2025-10-06", - "display_name": "gpt-audio-mini-2025-10-06", + "model_id": "gpt-audio-mini", + "display_name": "gpt-audio-mini", "input_per_1m": 0.6, "output_per_1m": 2.4, "cached_input_per_1m": null, @@ -1998,61 +2016,43 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1289, - "provider": "xai", - "model_id": "grok-3-mini-fast-beta", - "display_name": "grok-3-mini-fast-beta", + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 123, + "id": 118, "provider": "openai", - "model_id": "gpt-4o-mini-realtime-preview", - "display_name": "gpt-4o-mini-realtime-preview", + "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": 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": "2026-06-02T12:28:19.347691+00:00" - }, - { - "id": 1290, - "provider": "xai", - "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, - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 3, @@ -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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 272, @@ -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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 56, @@ -2142,7 +2142,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1215, @@ -2160,31 +2160,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" - }, - { - "id": 18, - "provider": "anthropic", - "model_id": "claude-haiku-4-5-20251001", - "display_name": "claude-haiku-4-5-20251001", - "input_per_1m": 1.0, - "output_per_1m": 5.0, - "cached_input_per_1m": 0.1, - "context_window": 200000, - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1222, + "id": 1220, "provider": "mistral", - "model_id": "codestral-latest", - "display_name": "codestral-latest", + "model_id": "codestral-2405", + "display_name": "codestral-2405", "input_per_1m": 1.0, "output_per_1m": 3.0, "cached_input_per_1m": null, @@ -2196,25 +2178,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1220, - "provider": "mistral", - "model_id": "codestral-2405", - "display_name": "codestral-2405", + "id": 18, + "provider": "anthropic", + "model_id": "claude-haiku-4-5-20251001", + "display_name": "claude-haiku-4-5-20251001", "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, + "output_per_1m": 5.0, + "cached_input_per_1m": 0.1, + "context_window": 200000, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 9, @@ -2232,7 +2214,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 90, @@ -2250,25 +2232,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 223, - "provider": "openai", - "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": 0.55, - "context_window": 200000, - "max_output_tokens": 100000, + "id": 1222, + "provider": "mistral", + "model_id": "codestral-latest", + "display_name": "codestral-latest", + "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": 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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 225, @@ -2286,7 +2268,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 222, @@ -2304,61 +2286,43 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 224, + "id": 223, "provider": "openai", - "model_id": "o4-mini", - "display_name": "o4-mini", + "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", - "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": "2026-06-02T12:28:19.347691+00:00" - }, - { - "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": 10.0, - "cached_input_per_1m": 0.125, - "context_window": 272000, - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 264, + "id": 224, "provider": "openai", - "model_id": "gpt-5-search-api", - "display_name": "gpt-5-search-api", - "input_per_1m": 1.25, - "output_per_1m": 10.0, - "cached_input_per_1m": 0.125, - "context_window": 272000, - "max_output_tokens": 128000, + "model_id": "o4-mini", + "display_name": "o4-mini", + "input_per_1m": 1.1, + "output_per_1m": 4.4, + "cached_input_per_1m": 0.275, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1134, @@ -2376,25 +2340,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" - }, - { - "id": 279, - "provider": "google", - "model_id": "gemini-pro-latest", - "display_name": "gemini-pro-latest", - "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,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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 150, @@ -2412,61 +2358,61 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 148, - "provider": "openai", - "model_id": "gpt-5-2025-08-07", - "display_name": "gpt-5-2025-08-07", + "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, - "context_window": 272000, - "max_output_tokens": 128000, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1306, - "provider": "xai", - "model_id": "grok-4.3", - "display_name": "grok-4.3", + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 1307, - "provider": "xai", - "model_id": "grok-4.3-latest", - "display_name": "grok-4.3-latest", + "id": 279, + "provider": "google", + "model_id": "gemini-pro-latest", + "display_name": "gemini-pro-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", + "output_per_1m": 10.0, + "cached_input_per_1m": 0.125, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 149, @@ -2484,7 +2430,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1125, @@ -2502,25 +2448,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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", + "id": 264, + "provider": "openai", + "model_id": "gpt-5-search-api", + "display_name": "gpt-5-search-api", "input_per_1m": 1.25, "output_per_1m": 10.0, - "cached_input_per_1m": null, - "context_window": 128000, - "max_output_tokens": 64000, + "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 135, @@ -2538,7 +2484,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" + }, + { + "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": "2026-06-02T12:33:52.504436+00:00" }, { "id": 134, @@ -2556,7 +2520,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 133, @@ -2574,7 +2538,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 5, @@ -2592,7 +2556,43 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" + }, + { + "id": 1306, + "provider": "xai", + "model_id": "grok-4.3", + "display_name": "grok-4.3", + "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": "2026-06-02T12:33:52.504436+00:00" + }, + { + "id": 148, + "provider": "openai", + "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, + "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": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1131, @@ -2610,13 +2610,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 136, + "id": 137, "provider": "openai", - "model_id": "gpt-5.2", - "display_name": "gpt-5.2", + "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, @@ -2628,13 +2628,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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, @@ -2646,13 +2646,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+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 +2664,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 137, + "id": 136, "provider": "openai", - "model_id": "gpt-5.2-2025-12-11", - "display_name": "gpt-5.2-2025-12-11", + "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, @@ -2682,7 +2682,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 100, @@ -2700,7 +2700,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1262, @@ -2718,7 +2718,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" + }, + { + "id": 1302, + "provider": "xai", + "model_id": "grok-4.20-multi-agent-beta-0309", + "display_name": "grok-4.20-multi-agent-beta-0309", + "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": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1233, @@ -2736,7 +2754,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1241, @@ -2754,25 +2772,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" - }, - { - "id": 1302, - "provider": "xai", - "model_id": "grok-4.20-multi-agent-beta-0309", - "display_name": "grok-4.20-multi-agent-beta-0309", - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1132, @@ -2790,7 +2790,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1133, @@ -2808,7 +2808,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1127, @@ -2826,7 +2826,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1303, @@ -2844,7 +2844,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1232, @@ -2862,7 +2862,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1234, @@ -2880,7 +2880,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1235, @@ -2898,7 +2898,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 101, @@ -2916,7 +2916,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1265, @@ -2934,7 +2934,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1266, @@ -2952,7 +2952,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1275, @@ -2970,7 +2970,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1276, @@ -2988,7 +2988,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1277, @@ -3006,7 +3006,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1278, @@ -3024,7 +3024,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1279, @@ -3042,7 +3042,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1280, @@ -3060,7 +3060,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1304, @@ -3078,7 +3078,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1305, @@ -3096,7 +3096,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 220, @@ -3114,7 +3114,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 221, @@ -3132,7 +3132,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 115, @@ -3150,7 +3150,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 111, @@ -3168,7 +3168,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 112, @@ -3186,7 +3186,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 108, @@ -3204,7 +3204,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 131, @@ -3222,7 +3222,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 6, @@ -3240,7 +3240,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 2, @@ -3258,7 +3258,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 109, @@ -3276,7 +3276,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 130, @@ -3294,7 +3294,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 143, @@ -3312,7 +3312,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 114, @@ -3330,7 +3330,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 110, @@ -3348,7 +3348,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 113, @@ -3366,7 +3366,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1245, @@ -3384,7 +3384,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1246, @@ -3402,7 +3402,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 55, @@ -3420,7 +3420,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 8, @@ -3438,7 +3438,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 20, @@ -3456,17 +3456,17 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 49, + "id": 48, "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-0125", + "display_name": "ft:gpt-3.5-turbo-0125", "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, @@ -3474,31 +3474,13 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" - }, - { - "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": 0.75, - "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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 48, + "id": 50, "provider": "openai", - "model_id": "ft:gpt-3.5-turbo-0125", - "display_name": "ft:gpt-3.5-turbo-0125", + "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, @@ -3510,7 +3492,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 47, @@ -3528,7 +3510,25 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" + }, + { + "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": 0.75, + "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": "2026-06-02T12:33:52.504436+00:00" }, { "id": 38, @@ -3546,17 +3546,17 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { - "id": 50, + "id": 49, "provider": "openai", - "model_id": "ft:gpt-3.5-turbo-1106", - "display_name": "ft:gpt-3.5-turbo-1106", + "model_id": "ft:gpt-3.5-turbo-0613", + "display_name": "ft:gpt-3.5-turbo-0613", "input_per_1m": 3.0, "output_per_1m": 6.0, "cached_input_per_1m": null, - "context_window": 16385, + "context_window": 4096, "max_output_tokens": 4096, "modalities": "text", "supports_tools": false, @@ -3564,7 +3564,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 26, @@ -3582,7 +3582,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 25, @@ -3600,7 +3600,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1281, @@ -3618,7 +3618,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1282, @@ -3636,7 +3636,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 24, @@ -3654,7 +3654,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1240, @@ -3672,7 +3672,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 91, @@ -3690,7 +3690,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1292, @@ -3708,7 +3708,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1295, @@ -3726,7 +3726,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1296, @@ -3744,7 +3744,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 52, @@ -3762,7 +3762,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 53, @@ -3780,7 +3780,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 157, @@ -3798,7 +3798,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1239, @@ -3816,7 +3816,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 58, @@ -3834,7 +3834,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 159, @@ -3852,7 +3852,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 155, @@ -3870,7 +3870,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 156, @@ -3888,7 +3888,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 17, @@ -3906,7 +3906,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 7, @@ -3924,7 +3924,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 34, @@ -3942,7 +3942,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 33, @@ -3960,7 +3960,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 32, @@ -3978,7 +3978,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 31, @@ -3996,7 +3996,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1284, @@ -4014,7 +4014,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1283, @@ -4032,7 +4032,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 127, @@ -4050,7 +4050,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1308, @@ -4068,7 +4068,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1, @@ -4086,7 +4086,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 141, @@ -4104,7 +4104,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 1312, @@ -4122,7 +4122,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 36, @@ -4140,7 +4140,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 37, @@ -4158,7 +4158,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 128, @@ -4176,7 +4176,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 129, @@ -4194,7 +4194,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 107, @@ -4212,7 +4212,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 99, @@ -4230,7 +4230,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 93, @@ -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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 98, @@ -4266,7 +4266,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 97, @@ -4284,7 +4284,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 96, @@ -4302,7 +4302,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 28, @@ -4320,7 +4320,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 29, @@ -4338,7 +4338,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 30, @@ -4356,7 +4356,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 23, @@ -4374,7 +4374,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 218, @@ -4392,7 +4392,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 219, @@ -4410,7 +4410,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 22, @@ -4428,7 +4428,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 95, @@ -4446,7 +4446,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 92, @@ -4464,7 +4464,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 51, @@ -4482,7 +4482,7 @@ "knowledge_cutoff": null, "status": "ga", "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json", - "updated_at": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" }, { "id": 94, @@ -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": "2026-06-02T12:28:19.347691+00:00" + "updated_at": "2026-06-02T12:33:52.504436+00:00" } ], "mcp_servers": [ @@ -4518,7 +4518,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30327, @@ -4534,7 +4534,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2197, @@ -4550,7 +4550,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30342, @@ -4566,7 +4566,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2158, @@ -4582,7 +4582,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2129, @@ -4598,7 +4598,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30384, @@ -4614,7 +4614,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2144, @@ -4630,7 +4630,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30380, @@ -4646,7 +4646,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30314, @@ -4662,7 +4662,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30289, @@ -4678,7 +4678,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30345, @@ -4694,7 +4694,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2128, @@ -4710,7 +4710,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30343, @@ -4726,7 +4726,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30334, @@ -4742,7 +4742,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30303, @@ -4758,7 +4758,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30329, @@ -4774,7 +4774,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2145, @@ -4790,7 +4790,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30347, @@ -4806,7 +4806,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30357, @@ -4822,7 +4822,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30429, @@ -4838,7 +4838,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2165, @@ -4854,7 +4854,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30350, @@ -4870,7 +4870,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30291, @@ -4886,7 +4886,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2120, @@ -4902,7 +4902,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30290, @@ -4918,7 +4918,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2119, @@ -4934,7 +4934,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30285, @@ -4950,15 +4950,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2111, - "url": "https://www.pulsemcp.com/servers/0x79de-polymarket", - "name": "Polymarket", - "description": "This MCP server provides real-time Polymarket prediction market data access through a comprehensive Rust implementation built with the official MCP Rust SDK, offering market search, price tracking, and trading analytics across active betting markets. Built by 0x79de with robust error handling, intelligent caching with configurable TTL, retry logic with exponential backoff, and structured logging, it features 5 core tools for fetching active markets, searching by keywords, retrieving market details and prices, and analyzing trending markets by volume. The implementation includes MCP resources for auto-refreshing market data feeds, AI-powered prompts for market analysis and arbitrage detection, extensive configuration via environment variables or TOML files, and comprehensive test coverage with mock API integration, making it valuable for prediction market analysis, trading strategy development, and building AI assistants that need real-time betting market insights without direct API management.", + "id": 30322, + "url": "https://www.pulsemcp.com/servers/aantti-netbird", + "name": "Netbird", + "description": "A Netbird API integration server that enables AI assistants to manage virtual private networks through natural language. Built by aantti and derived from Grafana's MCP implementation, it provides tools for listing and managing peers, groups, and access policies in a Netbird network. Particularly valuable for network administrators who want to monitor and configure their Netbird VPN infrastructure through conversational AI.", "homepage_url": null, - "source_code_url": "https://github.com/ozgureyilmaz/polymarket-mcp", + "source_code_url": "https://github.com/aantti/mcp-netbird", "github_stars": 49, "package_registry": null, "package_name": null, @@ -4966,15 +4966,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30322, - "url": "https://www.pulsemcp.com/servers/aantti-netbird", - "name": "Netbird", - "description": "A Netbird API integration server that enables AI assistants to manage virtual private networks through natural language. Built by aantti and derived from Grafana's MCP implementation, it provides tools for listing and managing peers, groups, and access policies in a Netbird network. Particularly valuable for network administrators who want to monitor and configure their Netbird VPN infrastructure through conversational AI.", + "id": 2111, + "url": "https://www.pulsemcp.com/servers/0x79de-polymarket", + "name": "Polymarket", + "description": "This MCP server provides real-time Polymarket prediction market data access through a comprehensive Rust implementation built with the official MCP Rust SDK, offering market search, price tracking, and trading analytics across active betting markets. Built by 0x79de with robust error handling, intelligent caching with configurable TTL, retry logic with exponential backoff, and structured logging, it features 5 core tools for fetching active markets, searching by keywords, retrieving market details and prices, and analyzing trending markets by volume. The implementation includes MCP resources for auto-refreshing market data feeds, AI-powered prompts for market analysis and arbitrage detection, extensive configuration via environment variables or TOML files, and comprehensive test coverage with mock API integration, making it valuable for prediction market analysis, trading strategy development, and building AI assistants that need real-time betting market insights without direct API management.", "homepage_url": null, - "source_code_url": "https://github.com/aantti/mcp-netbird", + "source_code_url": "https://github.com/ozgureyilmaz/polymarket-mcp", "github_stars": 49, "package_registry": null, "package_name": null, @@ -4982,7 +4982,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2123, @@ -4998,7 +4998,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2134, @@ -5014,7 +5014,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30400, @@ -5030,7 +5030,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30358, @@ -5046,7 +5046,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30352, @@ -5062,7 +5062,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30296, @@ -5078,7 +5078,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30336, @@ -5094,7 +5094,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2164, @@ -5110,7 +5110,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30375, @@ -5126,7 +5126,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2132, @@ -5142,7 +5142,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30315, @@ -5158,7 +5158,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2168, @@ -5174,7 +5174,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30339, @@ -5190,7 +5190,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30394, @@ -5206,7 +5206,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30284, @@ -5222,15 +5222,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2178, - "url": "https://www.pulsemcp.com/servers/3gpp-research-guidance", - "name": "3GPP Research Guidance", - "description": "This 3GPP MCP server by edhijlu provides intelligent guidance for telecommunications standards research through a lightweight knowledge-driven architecture that stores structured metadata about 3GPP specifications rather than hosting content. Built with TypeScript and featuring a guidance engine, knowledge base, and template generator, it offers tools for specification discovery, 3GPP structure explanation, requirements-to-specs mapping, and research strategy generation, with adaptive responses based on user expertise level (beginner/intermediate/expert). The implementation focuses on educational methodology over data retrieval, using compact knowledge representation to achieve sub-500ms response times while consuming under 100MB memory, making it ideal for telecom engineers, researchers, and students who need strategic guidance for navigating 3GPP's complex specification ecosystem without requiring massive local storage or external API dependencies.", + "id": 2151, + "url": "https://www.pulsemcp.com/servers/1yhy-figma-context", + "name": "Figma Context", + "description": "Figma-Context-MCP is a server implementation that bridges AI assistants with the Figma design platform, enabling direct access to Figma file data through the MCP protocol. It transforms complex Figma API responses into simplified, structured design information that includes layout properties, styling, and text content, making it easier for AI assistants to understand and reason about design files. The server provides tools for retrieving complete Figma files or specific nodes, downloading images, and processing design hierarchies - making it particularly valuable for design review workflows, code generation from designs, and collaborative design discussions.", "homepage_url": null, - "source_code_url": "https://github.com/edhijlu/3gpp-mcp-server", + "source_code_url": "https://github.com/1yhy/figma-context-mcp", "github_stars": 25, "package_registry": null, "package_name": null, @@ -5238,15 +5238,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2151, - "url": "https://www.pulsemcp.com/servers/1yhy-figma-context", - "name": "Figma Context", - "description": "Figma-Context-MCP is a server implementation that bridges AI assistants with the Figma design platform, enabling direct access to Figma file data through the MCP protocol. It transforms complex Figma API responses into simplified, structured design information that includes layout properties, styling, and text content, making it easier for AI assistants to understand and reason about design files. The server provides tools for retrieving complete Figma files or specific nodes, downloading images, and processing design hierarchies - making it particularly valuable for design review workflows, code generation from designs, and collaborative design discussions.", + "id": 2178, + "url": "https://www.pulsemcp.com/servers/3gpp-research-guidance", + "name": "3GPP Research Guidance", + "description": "This 3GPP MCP server by edhijlu provides intelligent guidance for telecommunications standards research through a lightweight knowledge-driven architecture that stores structured metadata about 3GPP specifications rather than hosting content. Built with TypeScript and featuring a guidance engine, knowledge base, and template generator, it offers tools for specification discovery, 3GPP structure explanation, requirements-to-specs mapping, and research strategy generation, with adaptive responses based on user expertise level (beginner/intermediate/expert). The implementation focuses on educational methodology over data retrieval, using compact knowledge representation to achieve sub-500ms response times while consuming under 100MB memory, making it ideal for telecom engineers, researchers, and students who need strategic guidance for navigating 3GPP's complex specification ecosystem without requiring massive local storage or external API dependencies.", "homepage_url": null, - "source_code_url": "https://github.com/1yhy/figma-context-mcp", + "source_code_url": "https://github.com/edhijlu/3gpp-mcp-server", "github_stars": 25, "package_registry": null, "package_name": null, @@ -5254,7 +5254,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30317, @@ -5270,7 +5270,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2192, @@ -5286,7 +5286,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30297, @@ -5302,7 +5302,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30346, @@ -5318,15 +5318,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30301, - "url": "https://www.pulsemcp.com/servers/a0dotrun-expose", - "name": "Expose (JSON-RPC Proxy)", - "description": "Expose is a proxy server implementation that enables communication between clients and MCP-compatible services through JSON-RPC. Built by a0dotrun, it provides a Go-based middleware that handles standard MCP methods like 'initialize', 'tools/list', and 'tools/call' by forwarding requests to a configured backend URL while maintaining proper error handling and response formatting. The server can operate over standard I/O streams with graceful shutdown capabilities, making it suitable for integrating existing services with MCP clients or creating lightweight proxies between different MCP implementations.", + "id": 2118, + "url": "https://www.pulsemcp.com/servers/0xgval-twitter-search", + "name": "Twitter Search", + "description": "X Tools for Claude MCP is a lightweight toolkit that enables Claude AI to search Twitter with natural language queries and display results based on user intent. Built with Node.js and the Model Context Protocol SDK, it leverages the RapidAPI Twitter154 endpoint to provide advanced search capabilities including filtering by keywords, users, dates, and engagement metrics. The implementation formats tweets with clean markdown, supports pagination for larger result sets, and intelligently adapts its response style based on whether users want raw data viewing or analytical insights, making it particularly valuable for researchers, marketers, and social media analysts who need to quickly access and understand Twitter content.", "homepage_url": null, - "source_code_url": "https://github.com/deadcodedump/expose", + "source_code_url": "https://github.com/0xgval/twitter-x-mcp-server", "github_stars": 20, "package_registry": null, "package_name": null, @@ -5334,15 +5334,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2118, - "url": "https://www.pulsemcp.com/servers/0xgval-twitter-search", - "name": "Twitter Search", - "description": "X Tools for Claude MCP is a lightweight toolkit that enables Claude AI to search Twitter with natural language queries and display results based on user intent. Built with Node.js and the Model Context Protocol SDK, it leverages the RapidAPI Twitter154 endpoint to provide advanced search capabilities including filtering by keywords, users, dates, and engagement metrics. The implementation formats tweets with clean markdown, supports pagination for larger result sets, and intelligently adapts its response style based on whether users want raw data viewing or analytical insights, making it particularly valuable for researchers, marketers, and social media analysts who need to quickly access and understand Twitter content.", + "id": 30301, + "url": "https://www.pulsemcp.com/servers/a0dotrun-expose", + "name": "Expose (JSON-RPC Proxy)", + "description": "Expose is a proxy server implementation that enables communication between clients and MCP-compatible services through JSON-RPC. Built by a0dotrun, it provides a Go-based middleware that handles standard MCP methods like 'initialize', 'tools/list', and 'tools/call' by forwarding requests to a configured backend URL while maintaining proper error handling and response formatting. The server can operate over standard I/O streams with graceful shutdown capabilities, making it suitable for integrating existing services with MCP clients or creating lightweight proxies between different MCP implementations.", "homepage_url": null, - "source_code_url": "https://github.com/0xgval/twitter-x-mcp-server", + "source_code_url": "https://github.com/deadcodedump/expose", "github_stars": 20, "package_registry": null, "package_name": null, @@ -5350,7 +5350,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30405, @@ -5366,15 +5366,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30361, - "url": "https://www.pulsemcp.com/servers/abhichandra21-promptheus", - "name": "Promptheus", - "description": "Provides intelligent prompt refinement through an adaptive questioning workflow that detects task types and optimizes prompts accordingly. Supports multiple AI providers including Google Gemini, Anthropic Claude, OpenAI, Groq, Qwen, and GLM. Features interactive and structured question modes, session history management, and privacy-preserving telemetry.", - "homepage_url": "https://github.com/abhichandra21/Promptheus", - "source_code_url": "https://github.com/abhichandra21/promptheus", + "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, @@ -5382,7 +5382,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30355, @@ -5398,15 +5398,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30393, - "url": "https://www.pulsemcp.com/servers/abstracta-ibm-as400-iseries", - "name": "IBM AS/400 iSeries", - "description": "A Spring Boot-based MCP server that enables AI assistants to interact with IBM AS/400 and iSeries mainframe systems through RTE (Remote Terminal Emulator) protocols including TN5250, TN3270, and VT420. Built by Abstracta using the jmeter-bzm-rte library, it provides a configurable YAML-based approach for defining connection parameters and automated terminal interaction flows, allowing users to execute mainframe login sequences and retrieve screen output as text. Particularly valuable for modernizing legacy system interactions, enabling AI assistants to perform mainframe operations like user authentication and menu navigation without requiring direct terminal access or specialized mainframe knowledge.", - "homepage_url": null, - "source_code_url": "https://github.com/abstracta/ibm-as-400-iseries-mcp-server", + "id": 30361, + "url": "https://www.pulsemcp.com/servers/abhichandra21-promptheus", + "name": "Promptheus", + "description": "Provides intelligent prompt refinement through an adaptive questioning workflow that detects task types and optimizes prompts accordingly. Supports multiple AI providers including Google Gemini, Anthropic Claude, OpenAI, Groq, Qwen, and GLM. Features interactive and structured question modes, session history management, and privacy-preserving telemetry.", + "homepage_url": "https://github.com/abhichandra21/Promptheus", + "source_code_url": "https://github.com/abhichandra21/promptheus", "github_stars": 17, "package_registry": null, "package_name": null, @@ -5414,7 +5414,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2117, @@ -5430,15 +5430,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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.", + "id": 30393, + "url": "https://www.pulsemcp.com/servers/abstracta-ibm-as400-iseries", + "name": "IBM AS/400 iSeries", + "description": "A Spring Boot-based MCP server that enables AI assistants to interact with IBM AS/400 and iSeries mainframe systems through RTE (Remote Terminal Emulator) protocols including TN5250, TN3270, and VT420. Built by Abstracta using the jmeter-bzm-rte library, it provides a configurable YAML-based approach for defining connection parameters and automated terminal interaction flows, allowing users to execute mainframe login sequences and retrieve screen output as text. Particularly valuable for modernizing legacy system interactions, enabling AI assistants to perform mainframe operations like user authentication and menu navigation without requiring direct terminal access or specialized mainframe knowledge.", "homepage_url": null, - "source_code_url": "https://github.com/13rac1/videocapture-mcp", + "source_code_url": "https://github.com/abstracta/ibm-as-400-iseries-mcp-server", "github_stars": 17, "package_registry": null, "package_name": null, @@ -5446,7 +5446,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30368, @@ -5462,15 +5462,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30432, - "url": "https://www.pulsemcp.com/servers/aci-labs-ms-fabric", - "name": "Microsoft Fabric", - "description": "Fabric MCP is a Python-based server for interacting with Microsoft Fabric APIs, providing tools to manage and explore data assets in the Fabric ecosystem. It enables users to list workspaces, lakehouses, warehouses, tables, semantic models, and reports, as well as retrieve detailed schema information for Delta tables. Built with Azure authentication integration, the server maintains context across sessions using a TTL cache and formats results as markdown for readability. This implementation is particularly valuable for data engineers and analysts who need to explore and document their Fabric resources without leaving their AI assistant interface.", + "id": 30370, + "url": "https://www.pulsemcp.com/servers/abhiphile-fermat", + "name": "Fermat (Mathematical Computing)", + "description": "This MCP server provides AI assistants with mathematical computation and plotting capabilities through three specialized modules: matplotlib for data visualization, NumPy for numerical operations, and SymPy for symbolic mathematics, built using Python with FastMCP and modular architecture. The implementation offers comprehensive tools for creating bar charts with customizable orientations and styling, performing matrix operations and statistical calculations, solving algebraic equations and calculus problems, and handling symbolic computation tasks like differentiation and integration. Built with unified function interfaces, JSON-serializable outputs, and prefix-based module organization, it serves data scientists needing conversational access to mathematical tools, educators requiring AI-assisted problem solving across numerical and symbolic domains, and researchers wanting to integrate mathematical computation into automated workflows without direct library interaction.", "homepage_url": null, - "source_code_url": "https://github.com/datumnova/ms-fabric-mcp", + "source_code_url": "https://github.com/abhiphile/fermat-mcp", "github_stars": 16, "package_registry": null, "package_name": null, @@ -5478,15 +5478,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30370, - "url": "https://www.pulsemcp.com/servers/abhiphile-fermat", - "name": "Fermat (Mathematical Computing)", - "description": "This MCP server provides AI assistants with mathematical computation and plotting capabilities through three specialized modules: matplotlib for data visualization, NumPy for numerical operations, and SymPy for symbolic mathematics, built using Python with FastMCP and modular architecture. The implementation offers comprehensive tools for creating bar charts with customizable orientations and styling, performing matrix operations and statistical calculations, solving algebraic equations and calculus problems, and handling symbolic computation tasks like differentiation and integration. Built with unified function interfaces, JSON-serializable outputs, and prefix-based module organization, it serves data scientists needing conversational access to mathematical tools, educators requiring AI-assisted problem solving across numerical and symbolic domains, and researchers wanting to integrate mathematical computation into automated workflows without direct library interaction.", + "id": 30432, + "url": "https://www.pulsemcp.com/servers/aci-labs-ms-fabric", + "name": "Microsoft Fabric", + "description": "Fabric MCP is a Python-based server for interacting with Microsoft Fabric APIs, providing tools to manage and explore data assets in the Fabric ecosystem. It enables users to list workspaces, lakehouses, warehouses, tables, semantic models, and reports, as well as retrieve detailed schema information for Delta tables. Built with Azure authentication integration, the server maintains context across sessions using a TTL cache and formats results as markdown for readability. This implementation is particularly valuable for data engineers and analysts who need to explore and document their Fabric resources without leaving their AI assistant interface.", "homepage_url": null, - "source_code_url": "https://github.com/abhiphile/fermat-mcp", + "source_code_url": "https://github.com/datumnova/ms-fabric-mcp", "github_stars": 16, "package_registry": null, "package_name": null, @@ -5494,15 +5494,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 2147, + "url": "https://www.pulsemcp.com/servers/1rb-mongodb", + "name": "MongoDB", + "description": "This MongoDB MCP server implementation enables interaction with MongoDB databases through the Model Context Protocol. It utilizes TypeScript and the MongoDB driver to provide a bridge between MCP clients and MongoDB operations. The server is designed to run in various environments, including Windows (Git Bash and WSL) and Unix-like systems, making it versatile for different development setups. It's particularly useful for projects that require seamless integration of MongoDB capabilities into MCP-based workflows.", "homepage_url": null, - "source_code_url": "https://github.com/tooluse-labs/perfetto-mcp-rs", + "source_code_url": "https://github.com/1rb/mongo-mcp", "github_stars": 15, "package_registry": null, "package_name": null, @@ -5510,7 +5510,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30286, @@ -5526,7 +5526,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30332, @@ -5542,15 +5542,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2147, - "url": "https://www.pulsemcp.com/servers/1rb-mongodb", - "name": "MongoDB", - "description": "This MongoDB MCP server implementation enables interaction with MongoDB databases through the Model Context Protocol. It utilizes TypeScript and the MongoDB driver to provide a bridge between MCP clients and MongoDB operations. The server is designed to run in various environments, including Windows (Git Bash and WSL) and Unix-like systems, making it versatile for different development setups. It's particularly useful for projects that require seamless integration of MongoDB capabilities into MCP-based workflows.", + "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/1rb/mongo-mcp", + "source_code_url": "https://github.com/tooluse-labs/perfetto-mcp-rs", "github_stars": 15, "package_registry": null, "package_name": null, @@ -5558,7 +5558,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30377, @@ -5574,7 +5574,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2189, @@ -5590,7 +5590,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2148, @@ -5606,7 +5606,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30409, @@ -5622,23 +5622,7 @@ "remote_url": "https://midjourney.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+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", - "github_stars": 13, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": null, - "is_remote": false, - "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30348, @@ -5654,23 +5638,23 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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", - "github_stars": 12, + "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": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30300, @@ -5686,7 +5670,23 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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", + "github_stars": 12, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2121, @@ -5702,15 +5702,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30323, - "url": "https://www.pulsemcp.com/servers/aaomidi-bazel", - "name": "Bazel", - "description": "A Bazel integration server for the MCP protocol that enables AI assistants to interact with Bazel build systems. It provides tools for building targets, running tests, finding dependencies and reverse dependencies, and identifying source files within a Bazel workspace. The implementation wraps Bazel command-line operations in a structured API, making it easier for AI systems to analyze and manipulate Bazel projects without needing to understand the underlying command syntax.", + "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/aaomidi/mcp-bazel", + "source_code_url": "https://github.com/0xkoda/eth-mcp", "github_stars": 11, "package_registry": null, "package_name": null, @@ -5718,15 +5718,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30324, - "url": "https://www.pulsemcp.com/servers/aapanel", - "name": "aaPanel", - "description": "aaPanel MCP Server provides a bridge between AI assistants and aaPanel web hosting control panel, enabling management of websites, databases, Docker containers, and system resources through a standardized interface. Built with Go, this implementation authenticates with the aaPanel API using environment variables for base URL and API token, then translates MCP tool calls into appropriate aaPanel API requests. The server exposes functionality for retrieving system information, managing PHP websites, querying MySQL databases, handling Docker containers and images, and configuring email accounts, making it ideal for automating web hosting administration tasks through AI-powered workflows.", + "id": 2167, + "url": "https://www.pulsemcp.com/servers/2niuhe-qrcode", + "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/aapanel/mcp-server", + "source_code_url": "https://github.com/2niuhe/qrcode_mcp", "github_stars": 11, "package_registry": null, "package_name": null, @@ -5734,15 +5734,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2167, - "url": "https://www.pulsemcp.com/servers/2niuhe-qrcode", - "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.", + "id": 30324, + "url": "https://www.pulsemcp.com/servers/aapanel", + "name": "aaPanel", + "description": "aaPanel MCP Server provides a bridge between AI assistants and aaPanel web hosting control panel, enabling management of websites, databases, Docker containers, and system resources through a standardized interface. Built with Go, this implementation authenticates with the aaPanel API using environment variables for base URL and API token, then translates MCP tool calls into appropriate aaPanel API requests. The server exposes functionality for retrieving system information, managing PHP websites, querying MySQL databases, handling Docker containers and images, and configuring email accounts, making it ideal for automating web hosting administration tasks through AI-powered workflows.", "homepage_url": null, - "source_code_url": "https://github.com/2niuhe/qrcode_mcp", + "source_code_url": "https://github.com/aapanel/mcp-server", "github_stars": 11, "package_registry": null, "package_name": null, @@ -5750,15 +5750,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30323, + "url": "https://www.pulsemcp.com/servers/aaomidi-bazel", + "name": "Bazel", + "description": "A Bazel integration server for the MCP protocol that enables AI assistants to interact with Bazel build systems. It provides tools for building targets, running tests, finding dependencies and reverse dependencies, and identifying source files within a Bazel workspace. The implementation wraps Bazel command-line operations in a structured API, making it easier for AI systems to analyze and manipulate Bazel projects without needing to understand the underlying command syntax.", "homepage_url": null, - "source_code_url": "https://github.com/0xkoda/eth-mcp", + "source_code_url": "https://github.com/aaomidi/mcp-bazel", "github_stars": 11, "package_registry": null, "package_name": null, @@ -5766,7 +5766,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30320, @@ -5782,15 +5782,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2169, - "url": "https://www.pulsemcp.com/servers/304techmaven-plaid-finance", - "name": "Plaid", - "description": "Plaid MCP Server provides a robust bridge to the Plaid financial API, enabling AI assistants to securely access and interact with bank account data, transactions, and authentication flows. Built with TypeScript and supporting both stdio and SSE transports, it offers tools for creating link tokens, exchanging public tokens, syncing transactions, and handling Plaid webhooks. The implementation is particularly valuable for financial analysis, automated transaction tracking, and building AI-powered personal finance assistants.", + "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/304techmaven/plaid-mcp-server", + "source_code_url": "https://github.com/1broseidon/mcp-jira-server", "github_stars": 10, "package_registry": null, "package_name": null, @@ -5798,15 +5798,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30363, - "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, @@ -5814,15 +5814,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 2169, + "url": "https://www.pulsemcp.com/servers/304techmaven-plaid-finance", + "name": "Plaid", + "description": "Plaid MCP Server provides a robust bridge to the Plaid financial API, enabling AI assistants to securely access and interact with bank account data, transactions, and authentication flows. Built with TypeScript and supporting both stdio and SSE transports, it offers tools for creating link tokens, exchanging public tokens, syncing transactions, and handling Plaid webhooks. The implementation is particularly valuable for financial analysis, automated transaction tracking, and building AI-powered personal finance assistants.", "homepage_url": null, - "source_code_url": "https://github.com/1broseidon/mcp-jira-server", + "source_code_url": "https://github.com/304techmaven/plaid-mcp-server", "github_stars": 10, "package_registry": null, "package_name": null, @@ -5830,15 +5830,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30363, + "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, @@ -5846,7 +5846,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30402, @@ -5862,7 +5862,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30310, @@ -5878,7 +5878,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2109, @@ -5894,23 +5894,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" - }, - { - "id": 2106, - "url": "https://www.pulsemcp.com/servers/0ics-ui-ticket", - "name": "UI Ticket", - "description": "Bridges human reviewers and AI coding agents for UI prototype reviews. Humans annotate elements directly in the browser with click-to-annotate functionality, while AI agents resolve comments via MCP. Supports threaded discussions, tags, batch operations, and stores reviews in a git-friendly SQLite database.", - "homepage_url": "https://uiticket.0ics.ai", - "source_code_url": "https://github.com/0ics-srls/ui-ticket-mcp_public", - "github_stars": 7, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": null, - "is_remote": false, - "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30416, @@ -5926,7 +5910,23 @@ "remote_url": "https://suno.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" + }, + { + "id": 2106, + "url": "https://www.pulsemcp.com/servers/0ics-ui-ticket", + "name": "UI Ticket", + "description": "Bridges human reviewers and AI coding agents for UI prototype reviews. Humans annotate elements directly in the browser with click-to-annotate functionality, while AI agents resolve comments via MCP. Supports threaded discussions, tags, batch operations, and stores reviews in a git-friendly SQLite database.", + "homepage_url": "https://uiticket.0ics.ai", + "source_code_url": "https://github.com/0ics-srls/ui-ticket-mcp_public", + "github_stars": 7, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30351, @@ -5942,15 +5942,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30385, - "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": 30371, + "url": "https://www.pulsemcp.com/servers/abhirockzz-cosmosdb-go", + "name": "Azure Cosmos DB", + "description": "This MCP server implementation provides tools for interacting with Azure Cosmos DB databases using Go. Built with the Azure SDK for Go, it enables AI assistants to perform common Cosmos DB operations including listing databases and containers, executing SQL queries, reading container metadata, creating containers, and managing items. The implementation supports both key-based authentication and Azure managed identities, making it flexible for different deployment scenarios. It's particularly useful for applications that need to integrate AI capabilities with document database operations, allowing natural language interaction with Cosmos DB resources without requiring users to write complex database code.", "homepage_url": null, - "source_code_url": "https://github.com/aborroy/alfresco-mcp-poc", + "source_code_url": "https://github.com/abhirockzz/mcp_cosmosdb_go", "github_stars": 6, "package_registry": null, "package_name": null, @@ -5958,31 +5958,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30410, - "url": "https://www.pulsemcp.com/servers/acedatacloud-nanobanana", - "name": "AceDataCloud NanoBanana", - "description": "Generate and edit images using NanoBanana AI models through the AceDataCloud unified API platform. Supports text-to-image generation and image editing with customizable parameters. Available as a hosted service or self-hosted via PyPI.", - "homepage_url": "https://nanobanana.mcp.acedata.cloud", - "source_code_url": "https://github.com/acedatacloud/nanobananamcp", + "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/1595901624/qrcode-mcp", "github_stars": 6, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://nanobanana.mcp.acedata.cloud/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30371, - "url": "https://www.pulsemcp.com/servers/abhirockzz-cosmosdb-go", - "name": "Azure Cosmos DB", - "description": "This MCP server implementation provides tools for interacting with Azure Cosmos DB databases using Go. Built with the Azure SDK for Go, it enables AI assistants to perform common Cosmos DB operations including listing databases and containers, executing SQL queries, reading container metadata, creating containers, and managing items. The implementation supports both key-based authentication and Azure managed identities, making it flexible for different deployment scenarios. It's particularly useful for applications that need to integrate AI capabilities with document database operations, allowing natural language interaction with Cosmos DB resources without requiring users to write complex database code.", + "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/abhirockzz/mcp_cosmosdb_go", + "source_code_url": "https://github.com/1yhy/oss-mcp", "github_stars": 6, "package_registry": null, "package_name": null, @@ -5990,7 +5990,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2196, @@ -6006,15 +6006,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30287, + "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, @@ -6022,15 +6022,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30287, - "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": 30293, + "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/7majesty-m/terminal-guardian-mcp", + "source_code_url": "https://github.com/90barricade93/msfs-sdk-mcp", "github_stars": 6, "package_registry": null, "package_name": null, @@ -6038,15 +6038,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30385, + "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, @@ -6054,31 +6054,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30293, - "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/90barricade93/msfs-sdk-mcp", + "id": 30410, + "url": "https://www.pulsemcp.com/servers/acedatacloud-nanobanana", + "name": "AceDataCloud NanoBanana", + "description": "Generate and edit images using NanoBanana AI models through the AceDataCloud unified API platform. Supports text-to-image generation and image editing with customizable parameters. Available as a hosted service or self-hosted via PyPI.", + "homepage_url": "https://nanobanana.mcp.acedata.cloud", + "source_code_url": "https://github.com/acedatacloud/nanobananamcp", "github_stars": 6, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://nanobanana.mcp.acedata.cloud/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30337, - "url": "https://www.pulsemcp.com/servers/aaronsb-salesforce-cloud", - "name": "Salesforce Cloud", - "description": "Provides comprehensive Salesforce CRM integration with AI-powered opportunity intelligence, conversation analysis, and business case generation. Supports SOQL queries, record management, opportunity search, engagement analysis, and professional document generation through natural language interactions. Includes pagination, pattern recognition for similar deals, and pipeline analytics.", - "homepage_url": "https://github.com/aaronsb/salesforce-cloud", - "source_code_url": "https://github.com/aaronsb/salesforce-cloud", + "id": 2105, + "url": "https://www.pulsemcp.com/servers/07freedom-mteam", + "name": "M-Team", + "description": "Provides access to the M-Team private BitTorrent tracker through three tools: keyword-based torrent search with nine category modes (normal, movie, music, TV show, adult, rankings, etc.), detailed torrent information retrieval including IMDB/Douban ratings and seeder counts, and torrent file downloading. Built with FastMCP and authenticated via M-Team API keys, supporting both Chinese and English search queries. Available on PyPI for zero-install execution via uvx.", + "homepage_url": null, + "source_code_url": "https://github.com/07freedom/mcp-server-mteam", "github_stars": 5, "package_registry": null, "package_name": null, @@ -6086,15 +6086,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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.", - "homepage_url": null, - "source_code_url": "https://github.com/0xbuz3r/emba-mcp", + "id": 30337, + "url": "https://www.pulsemcp.com/servers/aaronsb-salesforce-cloud", + "name": "Salesforce Cloud", + "description": "Provides comprehensive Salesforce CRM integration with AI-powered opportunity intelligence, conversation analysis, and business case generation. Supports SOQL queries, record management, opportunity search, engagement analysis, and professional document generation through natural language interactions. Includes pagination, pattern recognition for similar deals, and pipeline analytics.", + "homepage_url": "https://github.com/aaronsb/salesforce-cloud", + "source_code_url": "https://github.com/aaronsb/salesforce-cloud", "github_stars": 5, "package_registry": null, "package_name": null, @@ -6102,7 +6102,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30292, @@ -6118,7 +6118,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30425, @@ -6134,15 +6134,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2105, - "url": "https://www.pulsemcp.com/servers/07freedom-mteam", - "name": "M-Team", - "description": "Provides access to the M-Team private BitTorrent tracker through three tools: keyword-based torrent search with nine category modes (normal, movie, music, TV show, adult, rankings, etc.), detailed torrent information retrieval including IMDB/Douban ratings and seeder counts, and torrent file downloading. Built with FastMCP and authenticated via M-Team API keys, supporting both Chinese and English search queries. Available on PyPI for zero-install execution via uvx.", + "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/07freedom/mcp-server-mteam", + "source_code_url": "https://github.com/0xbuz3r/emba-mcp", "github_stars": 5, "package_registry": null, "package_name": null, @@ -6150,15 +6150,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30366, - "url": "https://www.pulsemcp.com/servers/abhinavg6-sui", + "id": 2116, + "url": "https://www.pulsemcp.com/servers/0xdwong-sui", "name": "Sui", - "description": "TypeScript MCP server providing 29 tools for querying the Sui blockchain across gRPC fullnode, GraphQL RPC, and archival service endpoints. Handles automatic routing between live and archival data, BigInt serialization, and binary data formatting for LLM compatibility. Built in anticipation of Sui's JSON-RPC sunset in July 2026.", + "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/abhinavg6/sui-mcp-server", + "source_code_url": "https://github.com/deanpluse/sui-mcp", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6166,15 +6166,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30309, - "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": 30340, + "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/a2xdeveloper/tagesschau-mcp-server", + "source_code_url": "https://github.com/aarushkx/covid-mcp-server", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6182,15 +6182,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30367, - "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": 30426, + "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/abhinavkalyan10/personal-context-mcp", + "source_code_url": "https://github.com/achetronic/hass-mcp", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6198,31 +6198,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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.", - "homepage_url": null, - "source_code_url": "https://github.com/404f0x/better_colab_mcp", + "id": 30387, + "url": "https://www.pulsemcp.com/servers/aboudjem-sniff", + "name": "Sniff", + "description": "Sniff is a QA automation MCP server that generates test scenarios from natural language descriptions, executes browser-based tests, detects visual and functional regressions, and analyzes test coverage gaps. It integrates directly with development workflows, letting AI agents create and maintain test suites without switching context to a separate QA tool.", + "homepage_url": "https://github.com/Aboudjem/sniff", + "source_code_url": "https://github.com/aboudjem/sniff", "github_stars": 4, - "package_registry": null, - "package_name": null, + "package_registry": "npm", + "package_name": "sniff-qa", "download_count": null, "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30378, - "url": "https://www.pulsemcp.com/servers/abhiyoheswaran1-projscan", - "name": "Projscan", - "description": "Projscan delivers structural code analysis through an MCP server using abstract syntax tree parsing. It supports JavaScript, TypeScript, Python, Java, C/C++, and Go, providing 20 tools for code understanding. Runs offline — no network calls during analysis — making it suitable for private codebases.", - "homepage_url": "https://github.com/abhiyoheswaran1/projscan", - "source_code_url": "https://github.com/abhiyoheswaran1/projscan", + "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/0x-professor/ctf-time-mcp", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6230,7 +6230,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2126, @@ -6246,23 +6246,23 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30387, - "url": "https://www.pulsemcp.com/servers/aboudjem-sniff", - "name": "Sniff", - "description": "Sniff is a QA automation MCP server that generates test scenarios from natural language descriptions, executes browser-based tests, detects visual and functional regressions, and analyzes test coverage gaps. It integrates directly with development workflows, letting AI agents create and maintain test suites without switching context to a separate QA tool.", - "homepage_url": "https://github.com/Aboudjem/sniff", - "source_code_url": "https://github.com/aboudjem/sniff", + "id": 30367, + "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/abhinavkalyan10/personal-context-mcp", "github_stars": 4, - "package_registry": "npm", - "package_name": "sniff-qa", + "package_registry": null, + "package_name": null, "download_count": null, "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2163, @@ -6278,15 +6278,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30340, - "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": 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/aarushkx/covid-mcp-server", + "source_code_url": "https://github.com/404f0x/better_colab_mcp", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6294,15 +6294,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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.", - "homepage_url": null, - "source_code_url": "https://github.com/2captcha/mcp-captcha-solver", + "id": 30378, + "url": "https://www.pulsemcp.com/servers/abhiyoheswaran1-projscan", + "name": "Projscan", + "description": "Projscan delivers structural code analysis through an MCP server using abstract syntax tree parsing. It supports JavaScript, TypeScript, Python, Java, C/C++, and Go, providing 20 tools for code understanding. Runs offline — no network calls during analysis — making it suitable for private codebases.", + "homepage_url": "https://github.com/abhiyoheswaran1/projscan", + "source_code_url": "https://github.com/abhiyoheswaran1/projscan", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6310,15 +6310,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2116, - "url": "https://www.pulsemcp.com/servers/0xdwong-sui", + "id": 30366, + "url": "https://www.pulsemcp.com/servers/abhinavg6-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.", + "description": "TypeScript MCP server providing 29 tools for querying the Sui blockchain across gRPC fullnode, GraphQL RPC, and archival service endpoints. Handles automatic routing between live and archival data, BigInt serialization, and binary data formatting for LLM compatibility. Built in anticipation of Sui's JSON-RPC sunset in July 2026.", "homepage_url": null, - "source_code_url": "https://github.com/deanpluse/sui-mcp", + "source_code_url": "https://github.com/abhinavg6/sui-mcp-server", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6326,15 +6326,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30426, - "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": 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/achetronic/hass-mcp", + "source_code_url": "https://github.com/1pitaph/su_mcp", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6342,15 +6342,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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, @@ -6358,15 +6358,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30309, + "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/0x-professor/ctf-time-mcp", + "source_code_url": "https://github.com/a2xdeveloper/tagesschau-mcp-server", "github_stars": 4, "package_registry": null, "package_name": null, @@ -6374,15 +6374,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 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, @@ -6390,15 +6390,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30372, + "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/3vening/gmail-mcp", + "source_code_url": "https://github.com/abhirockzz/mcp_kusto", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6406,7 +6406,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2124, @@ -6422,15 +6422,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2142, - "url": "https://www.pulsemcp.com/servers/1luvc0d3-metabase", - "name": "Metabase", - "description": "Extends Metabase with write capabilities and AI-driven insights through the Model Context Protocol. Provides 28 tools spanning dashboard and card access, natural language to SQL conversion, content creation and modification, automated trend analysis, and metric comparisons. Supports tiered access modes (read/write/full) with SQL injection protection, rate limiting, and audit logging. Targets older Metabase versions and use cases requiring write access beyond what the official MCP server provides.", + "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/1luvc0d3/metabase-mcp", + "source_code_url": "https://github.com/156554395/doubao-image-video-mcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6438,15 +6438,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 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", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6454,15 +6454,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 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, @@ -6470,15 +6470,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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.", - "homepage_url": null, - "source_code_url": "https://github.com/156554395/doubao-image-video-mcp", + "id": 30404, + "url": "https://www.pulsemcp.com/servers/acamolese-google-search-console", + "name": "Google Search Console", + "description": "Connects Google Search Console to AI assistants through 8 read-only tools covering performance queries, URL inspection, indexing status checks, and sitemap management. The gsc_audit tool generates self-contained HTML SEO reports with Chart.js visualizations, automatic issue detection, and 30/60/90-day roadmaps. Supports white-label customization for agency client deliverables via branding configuration.", + "homepage_url": "https://github.com/acamolese/google-search-console-mcp", + "source_code_url": "https://github.com/acamolese/google-search-console-mcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6486,15 +6486,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 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, @@ -6502,15 +6502,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30341, + "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/3dcreationsbychad/fusion360-cam-assistant", + "source_code_url": "https://github.com/aaryan-kapoor/mcp-character-tools", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6518,15 +6518,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2179, - "url": "https://www.pulsemcp.com/servers/3io-w-strawbery-unicode-character-counter", - "name": "Strawbery Unicode Character Counter", - "description": "A lightweight Go-based MCP server that provides a character counting tool for text analysis. The server implements a case-insensitive Unicode character counter that returns both the total count and 1-indexed positions of occurrences within input strings, with full support for CJK and other Unicode characters. Built using the mcp-go library, it's useful for text processing tasks that require precise character location tracking.", + "id": 2142, + "url": "https://www.pulsemcp.com/servers/1luvc0d3-metabase", + "name": "Metabase", + "description": "Extends Metabase with write capabilities and AI-driven insights through the Model Context Protocol. Provides 28 tools spanning dashboard and card access, natural language to SQL conversion, content creation and modification, automated trend analysis, and metric comparisons. Supports tiered access modes (read/write/full) with SQL injection protection, rate limiting, and audit logging. Targets older Metabase versions and use cases requiring write access beyond what the official MCP server provides.", "homepage_url": null, - "source_code_url": "https://github.com/3io-w/strawbery-mcp", + "source_code_url": "https://github.com/1luvc0d3/metabase-mcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6534,15 +6534,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 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/40ants/lisp-dev-mcp", + "source_code_url": "https://github.com/3vening/gmail-mcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6550,15 +6550,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30306, - "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": 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, @@ -6566,15 +6566,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30312, - "url": "https://www.pulsemcp.com/servers/aac6fef-wolfram-mathematica", - "name": "Wolfram Mathematica", - "description": "This MCP server provides a bridge to Wolfram Mathematica, enabling AI assistants to execute Wolfram Language code in secure, session-based environments. It offers three core tools: creating new Mathematica sessions with unique animal-themed identifiers (replacing UUIDs for better LLM transcription accuracy), executing arbitrary Wolfram Language code within specified sessions, and properly terminating sessions to release resources. The implementation uses the wolframclient library and requires a local Wolfram Engine or Mathematica installation, making it valuable for mathematical computations, symbolic algebra, data analysis, and scientific modeling tasks where the full power of Mathematica's computational capabilities can be leveraged through natural language interactions.", + "id": 2179, + "url": "https://www.pulsemcp.com/servers/3io-w-strawbery-unicode-character-counter", + "name": "Strawbery Unicode Character Counter", + "description": "A lightweight Go-based MCP server that provides a character counting tool for text analysis. The server implements a case-insensitive Unicode character counter that returns both the total count and 1-indexed positions of occurrences within input strings, with full support for CJK and other Unicode characters. Built using the mcp-go library, it's useful for text processing tasks that require precise character location tracking.", "homepage_url": null, - "source_code_url": "https://github.com/aac6fef/mathematica_mcp", + "source_code_url": "https://github.com/3io-w/strawbery-mcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6582,15 +6582,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30313, - "url": "https://www.pulsemcp.com/servers/aadi775-mahoraga", - "name": "MahoRAGa", - "description": "Provides long-term semantic recall for AI agents through an embedded Kuzu graph database. Stores errors, solutions, concepts, and session histories with hybrid search combining semantic similarity, recency, context richness, and keyword matching. Supports 25+ tools across projects, sessions, error tracking, knowledge management, artifacts, and analytics. Runs fully local with no cloud dependencies.", + "id": 30353, + "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/aadi775/mahoraga", + "source_code_url": "https://github.com/abdessamad-elamrani/malwareanalyzermcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6598,15 +6598,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30341, - "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": 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/aaryan-kapoor/mcp-character-tools", + "source_code_url": "https://github.com/3dcreationsbychad/fusion360-cam-assistant", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6614,15 +6614,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30353, - "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": 30306, + "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/abdessamad-elamrani/malwareanalyzermcp", + "source_code_url": "https://github.com/a2amarket/mcp-clamav", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6630,15 +6630,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30372, - "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.", + "id": 30392, + "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/abhirockzz/mcp_kusto", + "source_code_url": "https://github.com/scrape-technology/abrasio-mcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6646,7 +6646,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30388, @@ -6662,15 +6662,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30392, - "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": 30312, + "url": "https://www.pulsemcp.com/servers/aac6fef-wolfram-mathematica", + "name": "Wolfram Mathematica", + "description": "This MCP server provides a bridge to Wolfram Mathematica, enabling AI assistants to execute Wolfram Language code in secure, session-based environments. It offers three core tools: creating new Mathematica sessions with unique animal-themed identifiers (replacing UUIDs for better LLM transcription accuracy), executing arbitrary Wolfram Language code within specified sessions, and properly terminating sessions to release resources. The implementation uses the wolframclient library and requires a local Wolfram Engine or Mathematica installation, making it valuable for mathematical computations, symbolic algebra, data analysis, and scientific modeling tasks where the full power of Mathematica's computational capabilities can be leveraged through natural language interactions.", "homepage_url": null, - "source_code_url": "https://github.com/scrape-technology/abrasio-mcp", + "source_code_url": "https://github.com/aac6fef/mathematica_mcp", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6678,15 +6678,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30404, - "url": "https://www.pulsemcp.com/servers/acamolese-google-search-console", - "name": "Google Search Console", - "description": "Connects Google Search Console to AI assistants through 8 read-only tools covering performance queries, URL inspection, indexing status checks, and sitemap management. The gsc_audit tool generates self-contained HTML SEO reports with Chart.js visualizations, automatic issue detection, and 30/60/90-day roadmaps. Supports white-label customization for agency client deliverables via branding configuration.", - "homepage_url": "https://github.com/acamolese/google-search-console-mcp", - "source_code_url": "https://github.com/acamolese/google-search-console-mcp", + "id": 30313, + "url": "https://www.pulsemcp.com/servers/aadi775-mahoraga", + "name": "MahoRAGa", + "description": "Provides long-term semantic recall for AI agents through an embedded Kuzu graph database. Stores errors, solutions, concepts, and session histories with hybrid search combining semantic similarity, recency, context richness, and keyword matching. Supports 25+ tools across projects, sessions, error tracking, knowledge management, artifacts, and analytics. Runs fully local with no cloud dependencies.", + "homepage_url": null, + "source_code_url": "https://github.com/aadi775/mahoraga", "github_stars": 3, "package_registry": null, "package_name": null, @@ -6694,7 +6694,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30422, @@ -6710,7 +6710,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30433, @@ -6726,7 +6726,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30376, @@ -6742,7 +6742,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30362, @@ -6758,47 +6758,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" - }, - { - "id": 30386, - "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/abossard/ledfx-mcp", - "github_stars": 2, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": null, - "is_remote": false, - "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" - }, - { - "id": 30316, - "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, - "download_count": null, - "remote_url": null, - "is_remote": false, - "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30335, - "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": 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/aaronsb/jira-insights-mcp", + "source_code_url": "https://github.com/23f2005639/mcp_ai", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6806,31 +6774,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" - }, - { - "id": 2107, - "url": "https://www.pulsemcp.com/servers/0latency", - "name": "0Latency", - "description": "Multi-tenant memory API enabling persistent storage and retrieval of contextual information across sessions. Features include semantic search with vector embeddings, automatic deduplication above 92% similarity, temporal intelligence with memory decay, knowledge graph relationships, contradiction detection, and webhook support for real-time notifications. Offers tiered pricing from free (10,000 memories) to enterprise.", - "homepage_url": "https://0latency.ai", - "source_code_url": "https://github.com/0latency-ai/0latency", - "github_stars": 2, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": "https://mcp.0latency.ai/mcp", - "is_remote": true, - "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30330, - "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": 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/aaronroef/apple-mcp", + "source_code_url": "https://github.com/1425sd/spine-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6838,7 +6790,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2198, @@ -6854,23 +6806,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+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", - "github_stars": 2, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": null, - "is_remote": false, - "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30424, @@ -6886,7 +6822,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30423, @@ -6902,31 +6838,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" - }, - { - "id": 30354, - "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/abdoosalomov/jira-mcp", - "github_stars": 2, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": null, - "is_remote": false, - "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30356, - "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.", + "id": 30294, + "url": "https://www.pulsemcp.com/servers/96xiaopang-burp-suite", + "name": "Burp Suite", + "description": "Combines a Java Burp Suite extension that exposes internal proxy data via a local HTTP REST API on port 8181 with a Python MCP server that bridges Claude to it. Enables real-time analysis of Burp Suite proxy traffic, vulnerability discovery, and security testing workflows from within Claude Code. Requires Burp Suite Professional and Python 3.10+. Three releases, latest v1.0.2.", "homepage_url": null, - "source_code_url": "https://github.com/abdushakurob/squadco-mcp", + "source_code_url": "https://github.com/96xiaopang/burp-mcp-server", "github_stars": 2, "package_registry": null, "package_name": null, @@ -6934,39 +6854,39 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30294, - "url": "https://www.pulsemcp.com/servers/96xiaopang-burp-suite", - "name": "Burp Suite", - "description": "Combines a Java Burp Suite extension that exposes internal proxy data via a local HTTP REST API on port 8181 with a Python MCP server that bridges Claude to it. Enables real-time analysis of Burp Suite proxy traffic, vulnerability discovery, and security testing workflows from within Claude Code. Requires Burp Suite Professional and Python 3.10+. Three releases, latest v1.0.2.", - "homepage_url": null, - "source_code_url": "https://github.com/96xiaopang/burp-mcp-server", + "id": 30411, + "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": null, - "is_remote": false, + "remote_url": "https://seedance.mcp.acedata.cloud/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30359, - "url": "https://www.pulsemcp.com/servers/abhi5h3k-email-verify", - "name": "Email Validator", - "description": "MCP-Email-Verify provides a tool for validating email addresses using the Abstract API service. The server exposes a single function that checks email validity, deliverability, and quality through comprehensive validation including format checking, SMTP verification, and identification of disposable or role-based addresses. This implementation is particularly useful for applications requiring email validation to reduce bounces, prevent fake signups, and ensure data quality in forms or user registration flows.", - "homepage_url": null, - "source_code_url": "https://github.com/abhi5h3k/mcp-email-verify", + "id": 2107, + "url": "https://www.pulsemcp.com/servers/0latency", + "name": "0Latency", + "description": "Multi-tenant memory API enabling persistent storage and retrieval of contextual information across sessions. Features include semantic search with vector embeddings, automatic deduplication above 92% similarity, temporal intelligence with memory decay, knowledge graph relationships, contradiction detection, and webhook support for real-time notifications. Offers tiered pricing from free (10,000 memories) to enterprise.", + "homepage_url": "https://0latency.ai", + "source_code_url": "https://github.com/0latency-ai/0latency", "github_stars": 2, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://mcp.0latency.ai/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2112, @@ -6982,31 +6902,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30411, - "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", + "id": 30403, + "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, "download_count": null, - "remote_url": "https://seedance.mcp.acedata.cloud/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 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/23f2005639/mcp_ai", + "source_code_url": "https://github.com/5ajaki/safe-mcp-server", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7014,15 +6934,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30386, + "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/abossard/ledfx-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7030,15 +6950,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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.", - "homepage_url": null, - "source_code_url": "https://github.com/1425sd/spine-mcp", + "id": 30316, + "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, @@ -7046,15 +6966,79 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30403, - "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": 30383, + "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/alperenkocyigit/authorprofilemcp", + "source_code_url": "https://github.com/aboglioli/orchy", + "github_stars": 2, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-06-02T12:34:23.987752+00:00" + }, + { + "id": 30382, + "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/abnersajr/mcp-readedit", + "github_stars": 2, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-06-02T12:34:23.987752+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", + "github_stars": 2, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-06-02T12:34:23.987752+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.", + "homepage_url": null, + "source_code_url": "https://github.com/3akhp/prts-mcp", + "github_stars": 2, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-06-02T12:34:23.987752+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", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7062,7 +7046,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2161, @@ -7078,15 +7062,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30330, + "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/5ajaki/safe-mcp-server", + "source_code_url": "https://github.com/aaronroef/apple-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7094,15 +7078,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30382, - "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": 30335, + "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/abnersajr/mcp-readedit", + "source_code_url": "https://github.com/aaronsb/jira-insights-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7110,15 +7094,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30383, - "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": 30359, + "url": "https://www.pulsemcp.com/servers/abhi5h3k-email-verify", + "name": "Email Validator", + "description": "MCP-Email-Verify provides a tool for validating email addresses using the Abstract API service. The server exposes a single function that checks email validity, deliverability, and quality through comprehensive validation including format checking, SMTP verification, and identification of disposable or role-based addresses. This implementation is particularly useful for applications requiring email validation to reduce bounces, prevent fake signups, and ensure data quality in forms or user registration flows.", "homepage_url": null, - "source_code_url": "https://github.com/aboglioli/orchy", + "source_code_url": "https://github.com/abhi5h3k/mcp-email-verify", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7126,15 +7110,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30356, + "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/3akhp/prts-mcp", + "source_code_url": "https://github.com/abdushakurob/squadco-mcp", + "github_stars": 2, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-06-02T12:34:23.987752+00:00" + }, + { + "id": 30354, + "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/abdoosalomov/jira-mcp", "github_stars": 2, "package_registry": null, "package_name": null, @@ -7142,7 +7142,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2173, @@ -7158,7 +7158,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30395, @@ -7174,15 +7174,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30325, - "url": "https://www.pulsemcp.com/servers/aarifmms-keyblind", - "name": "Keyblind", - "description": "Keyblind provides an encrypted secrets vault for AI agents, storing credentials securely and resolving them at runtime so sensitive values are never passed through language model context. Enables agents to access authenticated services without handling raw API keys or passwords.", - "homepage_url": "null", - "source_code_url": "https://github.com/aarifmms/keyblind", + "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/mcp-etherscan-server", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7190,7 +7190,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2113, @@ -7206,15 +7206,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30364, - "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", + "id": 30318, + "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, @@ -7222,15 +7222,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2172, - "url": "https://www.pulsemcp.com/servers/3202336152-oracle", - "name": "Oracle Database", - "description": "Integrates with Oracle databases to execute SQL queries, explore database schemas with relationship mapping, retrieve execution plans and statistics, perform flashback queries for historical data, and safely insert or update records with built-in security restrictions. Features comprehensive metadata search across tables and columns, automatic LOB handling, and connection pooling.", + "id": 30415, + "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": "2026-06-02T12:34:23.987752+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/3202336152/mcp-tools/tree/HEAD/oracle-map-tool", + "source_code_url": "https://github.com/5ajaki/veri5ight", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7238,15 +7254,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30318, - "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": 30338, + "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", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7254,15 +7270,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30406, - "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/acedatacloud/mcps", + "id": 30391, + "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, @@ -7270,15 +7286,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30360, + "url": "https://www.pulsemcp.com/servers/abhi5h3k-url2snap", + "name": "URL2SNAP (Website Screenshot)", + "description": "URL2SNAP is an MCP server that captures screenshots of websites through the Abstract API. It provides a simple tool that takes a URL as input and returns a local URL to access the captured screenshot. The implementation handles API requests, image processing, and local file storage, making it useful for applications that need to visualize web content without requiring users to visit the actual websites. The server runs on port 8011 and saves screenshots to a local directory for easy access.", "homepage_url": null, - "source_code_url": "https://github.com/264gaurav/mcp_ai", + "source_code_url": "https://github.com/abhi5h3k/mcp-url2snap", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7286,15 +7302,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30321, - "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.", + "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/aamir-gmail/lm_studio_mcp", + "source_code_url": "https://github.com/264gaurav/mcp_ai", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7302,15 +7318,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30391, - "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": 30325, + "url": "https://www.pulsemcp.com/servers/aarifmms-keyblind", + "name": "Keyblind", + "description": "Keyblind provides an encrypted secrets vault for AI agents, storing credentials securely and resolving them at runtime so sensitive values are never passed through language model context. Enables agents to access authenticated services without handling raw API keys or passwords.", + "homepage_url": "null", + "source_code_url": "https://github.com/aarifmms/keyblind", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7318,15 +7334,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30381, - "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": 30288, + "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/chaudepark/ableton-mcp", + "source_code_url": "https://github.com/8agana/autonome-mcp", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7334,15 +7350,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 2172, + "url": "https://www.pulsemcp.com/servers/3202336152-oracle", + "name": "Oracle Database", + "description": "Integrates with Oracle databases to execute SQL queries, explore database schemas with relationship mapping, retrieve execution plans and statistics, perform flashback queries for historical data, and safely insert or update records with built-in security restrictions. Features comprehensive metadata search across tables and columns, automatic LOB handling, and connection pooling.", + "homepage_url": null, + "source_code_url": "https://github.com/3202336152/mcp-tools/tree/HEAD/oracle-map-tool", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7350,7 +7366,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30428, @@ -7366,15 +7382,15 @@ "remote_url": "https://delphi-oracle.onrender.com/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30398, + "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, @@ -7382,15 +7398,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30398, - "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", + "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, @@ -7398,15 +7414,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30360, - "url": "https://www.pulsemcp.com/servers/abhi5h3k-url2snap", - "name": "URL2SNAP (Website Screenshot)", - "description": "URL2SNAP is an MCP server that captures screenshots of websites through the Abstract API. It provides a simple tool that takes a URL as input and returns a local URL to access the captured screenshot. The implementation handles API requests, image processing, and local file storage, making it useful for applications that need to visualize web content without requiring users to visit the actual websites. The server runs on port 8011 and saves screenshots to a local directory for easy access.", - "homepage_url": null, - "source_code_url": "https://github.com/abhi5h3k/mcp-url2snap", + "id": 30401, + "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, @@ -7414,15 +7430,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 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/5ajaki/mcp-etherscan-server", + "source_code_url": "https://github.com/0xcjt/templonixlite", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7430,15 +7446,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30364, + "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/5ajaki/veri5ight", + "source_code_url": "https://github.com/abhinab-handique/db_talk", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7446,15 +7462,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30321, + "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/0xcjt/templonixlite", + "source_code_url": "https://github.com/aamir-gmail/lm_studio_mcp", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7462,7 +7478,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30431, @@ -7478,15 +7494,31 @@ "remote_url": "https://mcp.achriom.com/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30401, - "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": 30406, + "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/acedatacloud/mcps", + "github_stars": 1, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-06-02T12:34:23.987752+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", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7494,7 +7526,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2153, @@ -7510,15 +7542,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30338, - "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.", + "id": 30381, + "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/aaronsong0505/self-mcp", + "source_code_url": "https://github.com/chaudepark/ableton-mcp", "github_stars": 1, "package_registry": null, "package_name": null, @@ -7526,7 +7558,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30295, @@ -7542,23 +7574,7 @@ "remote_url": "https://web-production-817e2.up.railway.app/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" - }, - { - "id": 30415, - "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": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2110, @@ -7574,23 +7590,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" - }, - { - "id": 30288, - "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, - "download_count": null, - "remote_url": null, - "is_remote": false, - "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30421, @@ -7606,7 +7606,7 @@ "remote_url": "https://wan.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30418, @@ -7622,7 +7622,7 @@ "remote_url": "https://hailuo.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30390, @@ -7638,7 +7638,7 @@ "remote_url": "https://abraflexi.fastmcp.app/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30399, @@ -7654,47 +7654,47 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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.", - "homepage_url": null, - "source_code_url": "https://github.com/0xrag/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": null, - "is_remote": false, + "remote_url": "https://mcp.100hires.com/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30389, - "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": 30298, + "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://abovo.replit.app/mcp", + "remote_url": "https://mcp.projectbrain.tools/", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30344, + "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, @@ -7702,15 +7702,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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.", - "homepage_url": null, - "source_code_url": "https://github.com/3rzy/make-mcp-integration-issue", + "id": 30412, + "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, @@ -7718,31 +7718,31 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30379, - "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": 30414, + "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": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30430, + "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, @@ -7750,47 +7750,47 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30307, - "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", + "id": 30417, + "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, "download_count": null, - "remote_url": "https://a2areplayreceipt.clauxel.com/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30413, + "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://mcp.100hires.com/mcp", + "remote_url": "https://serp.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30308, - "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": 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, @@ -7798,23 +7798,55 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30311, - "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": 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://atom-mcp-server-production.up.railway.app/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-06-02T12:34:23.987752+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", + "github_stars": 0, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" + }, + { + "id": 25271, + "url": "https://www.pulsemcp.com/servers/2s-io", + "name": "2s.io", + "description": "2s.io provides an MCP server that routes data through its privacy processing pipeline before reaching AI systems. It redacts PII, classifies documents, and applies configurable transformation policies so sensitive content never leaves the organization's perimeter in plain form. The server integrates with the 2s.io API using a standard API key and supports multi-tenant configurations through the npm package @2sio/mcp.", + "homepage_url": "https://2s.io", + "source_code_url": "https://github.com/2s-io/sdk", + "github_stars": 0, + "package_registry": "npm", + "package_name": "@2sio/sdk", + "download_count": null, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30333, @@ -7830,7 +7862,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30328, @@ -7846,23 +7878,23 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30344, - "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": 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": null, - "is_remote": false, + "remote_url": "https://4bots.net/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30326, @@ -7878,31 +7910,15 @@ "remote_url": "https://atv-api.aarna.ai/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30319, - "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.", + "id": 30369, + "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/aalexuser/mcp-wait", - "github_stars": 0, - "package_registry": null, - "package_name": null, - "download_count": null, - "remote_url": null, - "is_remote": false, - "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+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", + "source_code_url": "https://github.com/abhinav7895/system-mcp", "github_stars": 0, "package_registry": null, "package_name": null, @@ -7910,15 +7926,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30396, - "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": 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, @@ -7926,15 +7942,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30397, - "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": 30373, + "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, @@ -7942,7 +7958,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30374, @@ -7958,31 +7974,31 @@ "remote_url": "https://contentstack-app-mcp-remote.contentstackapps.com/api/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 25271, - "url": "https://www.pulsemcp.com/servers/2s-io", - "name": "2s.io", - "description": "2s.io provides an MCP server that routes data through its privacy processing pipeline before reaching AI systems. It redacts PII, classifies documents, and applies configurable transformation policies so sensitive content never leaves the organization's perimeter in plain form. The server integrates with the 2s.io API using a standard API key and supports multi-tenant configurations through the npm package @2sio/mcp.", - "homepage_url": "https://2s.io", - "source_code_url": "https://github.com/2s-io/sdk", + "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": "npm", - "package_name": "@2sio/sdk", + "package_registry": null, + "package_name": null, "download_count": null, "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30373, - "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": 30379, + "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, @@ -7990,15 +8006,15 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30369, - "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.", + "id": 30319, + "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/abhinav7895/system-mcp", + "source_code_url": "https://github.com/aalexuser/mcp-wait", "github_stars": 0, "package_registry": null, "package_name": null, @@ -8006,95 +8022,95 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30311, + "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": "https://4bots.net/mcp", + "remote_url": "https://atom-mcp-server-production.up.railway.app/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30407, - "url": "https://www.pulsemcp.com/servers/acedatacloud-flux", - "name": "AceDataCloud Flux", - "description": "Generate and edit images using Flux AI models through the AceDataCloud unified API platform. Supports multiple Flux model variants including flux-dev, flux-pro, and flux-kontext. Features text-to-image generation, context-aware image editing, task management, and model selection. Available as a hosted service or self-hosted via PyPI.", - "homepage_url": "https://flux.mcp.acedata.cloud", - "source_code_url": "https://github.com/acedatacloud/fluxmcp", + "id": 30389, + "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://flux.mcp.acedata.cloud/mcp", + "remote_url": "https://abovo.replit.app/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30408, - "url": "https://www.pulsemcp.com/servers/acedatacloud-luma", - "name": "AceDataCloud Luma", - "description": "Generate AI videos using Luma Dream Machine models through the AceDataCloud unified API platform. Supports text-to-video and image-to-video generation with customizable parameters. Available as a hosted service or self-hosted via PyPI.", - "homepage_url": "https://luma.mcp.acedata.cloud", - "source_code_url": "https://github.com/acedatacloud/lumamcp", + "id": 30308, + "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, "download_count": null, - "remote_url": "https://luma.mcp.acedata.cloud/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30307, + "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": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 25302, - "url": "https://www.pulsemcp.com/servers/6ducklearn", - "name": "6DuckLearn", - "description": "6DuckLearn provides an MCP server that connects AI agents to its language learning platform. Agents can deliver vocabulary exercises using spaced repetition algorithms, track learner progress across sessions, create personalized practice sets, and retrieve performance analytics. The server authenticates via OAuth 2.0 against 6ducklearn.com and supports multiple target languages.", - "homepage_url": "https://6ducklearn.com", - "source_code_url": "https://github.com/kit18/6ducklearn-mcp", + "id": 30305, + "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": "https://6ducklearn.com/mcp", + "remote_url": "https://a2aidentitytoll.clauxel.com/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30412, - "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": 30396, + "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", "github_stars": 0, "package_registry": null, "package_name": null, @@ -8102,95 +8118,79 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30413, - "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", + "id": 30397, + "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", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://serp.mcp.acedata.cloud/mcp", - "is_remote": true, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30414, - "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", + "id": 30304, + "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://shorturl.mcp.acedata.cloud/mcp", + "remote_url": "https://a2adependencyinspector.clauxel.com/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30298, - "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": 25302, + "url": "https://www.pulsemcp.com/servers/6ducklearn", + "name": "6DuckLearn", + "description": "6DuckLearn provides an MCP server that connects AI agents to its language learning platform. Agents can deliver vocabulary exercises using spaced repetition algorithms, track learner progress across sessions, create personalized practice sets, and retrieve performance analytics. The server authenticates via OAuth 2.0 against 6ducklearn.com and supports multiple target languages.", + "homepage_url": "https://6ducklearn.com", + "source_code_url": "https://github.com/kit18/6ducklearn-mcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://mcp.projectbrain.tools/", + "remote_url": "https://6ducklearn.com/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30417, - "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, - "download_count": null, - "remote_url": null, - "is_remote": false, - "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" - }, - { - "id": 30430, - "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": 30302, + "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, @@ -8198,39 +8198,7 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" - }, - { - "id": 30419, - "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": "https://kling.mcp.acedata.cloud/mcp", - "is_remote": true, - "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" - }, - { - "id": 30420, - "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://producer.mcp.acedata.cloud/mcp", - "is_remote": true, - "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30299, @@ -8246,87 +8214,87 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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": 30407, + "url": "https://www.pulsemcp.com/servers/acedatacloud-flux", + "name": "AceDataCloud Flux", + "description": "Generate and edit images using Flux AI models through the AceDataCloud unified API platform. Supports multiple Flux model variants including flux-dev, flux-pro, and flux-kontext. Features text-to-image generation, context-aware image editing, task management, and model selection. Available as a hosted service or self-hosted via PyPI.", + "homepage_url": "https://flux.mcp.acedata.cloud", + "source_code_url": "https://github.com/acedatacloud/fluxmcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://flux.mcp.acedata.cloud/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30302, - "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", + "id": 30408, + "url": "https://www.pulsemcp.com/servers/acedatacloud-luma", + "name": "AceDataCloud Luma", + "description": "Generate AI videos using Luma Dream Machine models through the AceDataCloud unified API platform. Supports text-to-video and image-to-video generation with customizable parameters. Available as a hosted service or self-hosted via PyPI.", + "homepage_url": "https://luma.mcp.acedata.cloud", + "source_code_url": "https://github.com/acedatacloud/lumamcp", "github_stars": 0, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://luma.mcp.acedata.cloud/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30304, - "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": 30419, + "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": "https://a2adependencyinspector.clauxel.com/mcp", + "remote_url": "https://kling.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30305, - "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": 30420, + "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://a2aidentitytoll.clauxel.com/mcp", + "remote_url": "https://producer.mcp.acedata.cloud/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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", + "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": "https://mcp.1clickreport.com/mcp", + "remote_url": "https://mcp.payperbyte.io/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 30427, @@ -8342,7 +8310,23 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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", + "github_stars": 0, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { "id": 2102, @@ -8358,151 +8342,167 @@ "remote_url": null, "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2171, - "url": "https://www.pulsemcp.com/servers/31st-ai", - "name": "31st AI Accountant", - "description": "31st AI Accountant automates accounting workflows for QuickBooks, including transaction recording, bank reconciliation, and month-end close procedures. It connects AI assistants directly to QuickBooks data so teams can perform bookkeeping tasks, run reconciliation checks, and manage financial close processes through natural language commands.", - "homepage_url": "https://mcp.31st.ai/mcp", + "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/0xrag/mcp", + "github_stars": 0, + "package_registry": null, + "package_name": null, + "download_count": null, + "remote_url": null, + "is_remote": false, + "source": "pulsemcp", + "updated_at": "2026-06-02T12:34:23.987752+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, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://mcp.31st.ai/mcp", + "remote_url": "https://x711.io/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2149, - "url": "https://www.pulsemcp.com/servers/1stdibs", - "name": "1stDibs", - "description": "Provides access to 1stDibs marketplace for browsing and searching vintage, antique, and contemporary furniture, home decor, art, jewelry, watches, and fashion. 1stDibs is a leading online marketplace connecting buyers with curated sellers of extraordinary design items.", - "homepage_url": "https://www.1stdibs.com", - "source_code_url": null, + "id": 30365, + "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://www.1stdibs.com/soa/mcp", + "remote_url": "https://api.contextcloud.pro/mcp/protocol", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2135, - "url": "https://www.pulsemcp.com/servers/123elec", - "name": "123elec", - "description": "Official MCP interface for the 123elec electrical supplies e-commerce platform", - "homepage_url": "https://www.123elec.com", + "id": 30349, + "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://mcp.123elec.com/mcp", + "remote_url": "https://www.abbyseo.com/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 2183, - "url": "https://www.pulsemcp.com/servers/402-bot-discovery-oracle", - "name": "402 Bot Discovery Oracle", - "description": "Provides a discovery and execution layer for x402-compatible agent APIs on Base mainnet. Agents can search a live catalog of endpoints ranked by price, trust score, and latency, then purchase routes or inspect providers before spending. Includes tools for wallet intelligence materialization, session-based discovery workflows, marketplace agent registration, and proposal composition. Supports both discovery-only and paid execution modes.", - "homepage_url": "https://402.bot", + "id": 2171, + "url": "https://www.pulsemcp.com/servers/31st-ai", + "name": "31st AI Accountant", + "description": "31st AI Accountant automates accounting workflows for QuickBooks, including transaction recording, bank reconciliation, and month-end close procedures. It connects AI assistants directly to QuickBooks data so teams can perform bookkeeping tasks, run reconciliation checks, and manage financial close processes through natural language commands.", + "homepage_url": "https://mcp.31st.ai/mcp", "source_code_url": null, "github_stars": null, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://api.402.bot/mcp", + "remote_url": "https://mcp.31st.ai/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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.", + "id": 30331, + "url": "https://www.pulsemcp.com/servers/aarons22-paprika-recipes", + "name": "Paprika", + "description": "Paprika is an MCP server that integrates with the Paprika recipe manager application. It enables AI assistants to search and read recipes, access ingredient lists, manage meal plans, and interact with cooking data stored in a user's Paprika account. Designed for home cooks who want AI assistance with meal planning and recipe discovery.", "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, + "remote_url": null, + "is_remote": false, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30349, - "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", + "id": 2183, + "url": "https://www.pulsemcp.com/servers/402-bot-discovery-oracle", + "name": "402 Bot Discovery Oracle", + "description": "Provides a discovery and execution layer for x402-compatible agent APIs on Base mainnet. Agents can search a live catalog of endpoints ranked by price, trust score, and latency, then purchase routes or inspect providers before spending. Includes tools for wallet intelligence materialization, session-based discovery workflows, marketplace agent registration, and proposal composition. Supports both discovery-only and paid execution modes.", + "homepage_url": "https://402.bot", "source_code_url": null, "github_stars": null, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://www.abbyseo.com/mcp", + "remote_url": "https://api.402.bot/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+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", + "id": 2135, + "url": "https://www.pulsemcp.com/servers/123elec", + "name": "123elec", + "description": "Official MCP interface for the 123elec electrical supplies e-commerce platform", + "homepage_url": "https://www.123elec.com", "source_code_url": null, "github_stars": null, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": "https://x711.io/mcp", + "remote_url": "https://mcp.123elec.com/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30331, - "url": "https://www.pulsemcp.com/servers/aarons22-paprika-recipes", - "name": "Paprika", - "description": "Paprika is an MCP server that integrates with the Paprika recipe manager application. It enables AI assistants to search and read recipes, access ingredient lists, manage meal plans, and interact with cooking data stored in a user's Paprika account. Designed for home cooks who want AI assistance with meal planning and recipe discovery.", - "homepage_url": null, + "id": 2149, + "url": "https://www.pulsemcp.com/servers/1stdibs", + "name": "1stDibs", + "description": "Provides access to 1stDibs marketplace for browsing and searching vintage, antique, and contemporary furniture, home decor, art, jewelry, watches, and fashion. 1stDibs is a leading online marketplace connecting buyers with curated sellers of extraordinary design items.", + "homepage_url": "https://www.1stdibs.com", "source_code_url": null, "github_stars": null, "package_registry": null, "package_name": null, "download_count": null, - "remote_url": null, - "is_remote": false, + "remote_url": "https://www.1stdibs.com/soa/mcp", + "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" }, { - "id": 30365, - "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": 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://api.contextcloud.pro/mcp/protocol", + "remote_url": "https://mcp.52choujiang.com/douyin/mcp", "is_remote": true, "source": "pulsemcp", - "updated_at": "2026-06-02T12:28:42.498042+00:00" + "updated_at": "2026-06-02T12:34:23.987752+00:00" } ], "service_status": [ @@ -8514,7 +8514,7 @@ "indicator": "minor", "description": "Minor Service Outage", "operational": false, - "updated_at": "2026-06-02T12:28:10.426937+00:00" + "updated_at": "2026-06-02T12:33:43.966830+00:00" }, { "id": 1, @@ -8524,7 +8524,7 @@ "indicator": "minor", "description": "Partial System Degradation", "operational": false, - "updated_at": "2026-06-02T12:28:10.426937+00:00" + "updated_at": "2026-06-02T12:33:43.966830+00:00" }, { "id": 10, @@ -8534,7 +8534,7 @@ "indicator": "minor", "description": "Partially Degraded Service", "operational": false, - "updated_at": "2026-06-02T12:28:10.426937+00:00" + "updated_at": "2026-06-02T12:33:43.966830+00:00" }, { "id": 2, @@ -8544,7 +8544,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-06-02T12:28:10.426937+00:00" + "updated_at": "2026-06-02T12:33:43.966830+00:00" }, { "id": 11, @@ -8554,7 +8554,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-06-02T12:28:10.426937+00:00" + "updated_at": "2026-06-02T12:33:43.966830+00:00" }, { "id": 6, @@ -8564,7 +8564,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-06-02T12:28:10.426937+00:00" + "updated_at": "2026-06-02T12:33:43.966830+00:00" }, { "id": 3, @@ -8574,7 +8574,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-06-02T12:28:10.426937+00:00" + "updated_at": "2026-06-02T12:33:43.966830+00:00" }, { "id": 5, @@ -8584,7 +8584,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-06-02T12:28:10.426937+00:00" + "updated_at": "2026-06-02T12:33:43.966830+00:00" }, { "id": 7, @@ -8594,7 +8594,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-06-02T12:28:10.426937+00:00" + "updated_at": "2026-06-02T12:33:43.966830+00:00" }, { "id": 9, @@ -8604,7 +8604,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-06-02T12:28:10.426937+00:00" + "updated_at": "2026-06-02T12:33:43.966830+00:00" }, { "id": 8, @@ -8614,7 +8614,7 @@ "indicator": "none", "description": "All Systems Operational", "operational": true, - "updated_at": "2026-06-02T12:28:10.426937+00:00" + "updated_at": "2026-06-02T12:33:43.966830+00:00" } ], "ai_news": [ @@ -8625,7 +8625,7 @@ "source": "Simon Willison", "summary": "Tool: Pasted File Editor I really like how you can paste a large volume of text into claude.ai (or the Claude desktop/mobile apps) and it will detect it as a large paste and turn it into a file attachment instead. I decided to have Codex desktop build me a version of that as a pr", "published_at": "2026-06-02T04:13:36+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7560, @@ -8634,7 +8634,7 @@ "source": "AWS ML", "summary": "This post demonstrates how to implement Open Authorization (OAuth) Code flow as an inbound authorization mechanism for MCP servers hosted on Amazon Bedrock AgentCore Gateway. By the end of this guide, you will have a production-ready setup where each AI assistant request is authe", "published_at": "2026-06-02T03:23:35+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 9000, @@ -8643,7 +8643,7 @@ "source": "OpenAI", "summary": "The Next Era of Knowledge Work report explores how Codex is transforming productivity through AI-powered research, data analysis, workflow automation, and content creation.", "published_at": "2026-06-02T02:00:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7260, @@ -8652,7 +8652,7 @@ "source": "AWS ML", "summary": "Today, we’re excited to announce the ability to reference a secret in AWS Secrets Manager for AgentCore Identity, so you can reference your own preconfigured secret from Secrets Manager and retain full control over how it is managed. With this ability, you can extend your organiz", "published_at": "2026-06-01T22:16:28+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7261, @@ -8661,7 +8661,7 @@ "source": "AWS ML", "summary": "In this post, we walk through how to use Amazon Quick Research to integrate biomedical data sources for rare cancer research. The walkthrough uses pediatric sarcoma as the research domain and draws on publicly available datasets from PubMed and other open biomedical repositories.", "published_at": "2026-06-01T21:54:16+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7160, @@ -8670,7 +8670,7 @@ "source": "AWS ML", "summary": "GPT-5.5, GPT-5.4, and Codex are now generally available on Amazon Bedrock. Deploy them in production applications and agents today, on Bedrock’s high performance inference engine. ", "published_at": "2026-06-01T21:31:12+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7185, @@ -8679,7 +8679,7 @@ "source": "Simon Willison", "summary": "Hackers Simply Asked Meta AI to Give Them Access to High-Profile Instagram Accounts. It Worked I had trouble believing this story was true, but I've seen it verified from multiple sources now: One video shows a hacker starting a conversation with Meta’s AI support bot and asking ", "published_at": "2026-06-01T21:14:47+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7060, @@ -8688,7 +8688,7 @@ "source": "AWS ML", "summary": "While deploying Model Context Protocol (MCP) servers in production, enterprises need fine-grained access control across servers, observability into which teams use which tools, security guarantees against data exfiltration, and centralized credential management, all at scale. Ama", "published_at": "2026-06-01T18:35:03+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7061, @@ -8697,7 +8697,7 @@ "source": "AWS ML", "summary": "In this post, we use a lakehouse data agent to demonstrate how you can use Policy for deterministic access control and Lambda interceptors for dynamic validation. We then show how to combine Lambda interceptors and Policy to implement a geography-based access control which requir", "published_at": "2026-06-01T17:54:22+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7062, @@ -8706,7 +8706,7 @@ "source": "AWS ML", "summary": "In this post, we address several key risks that surface when designing an agentic payment system, and how to address them with the capabilities of AgentCore payments.", "published_at": "2026-06-01T17:30:12+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7200, @@ -8715,7 +8715,7 @@ "source": "OpenAI", "summary": "Our approach to AI policy and political advocacy, transparency, support for thoughtful regulation and AI safety, and that no outside political group speaks on the company’s behalf.", "published_at": "2026-06-01T17:00:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7063, @@ -8724,7 +8724,7 @@ "source": "AWS ML", "summary": "When you build agentic AI solutions, you face unique operational challenges. Agents make unpredictable decisions, costs spiral unexpectedly, and debugging non-deterministic failures seems impossible. Agentic AI applications don't just execute predetermined workflows. They reason,", "published_at": "2026-06-01T16:12:18+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7064, @@ -8733,7 +8733,7 @@ "source": "AWS ML", "summary": "If you’re iterating on deploying large language models (LLMs) on AWS GPU instances, you’ve probably noticed the larger the model to be loaded into GPU High Bandwidth Memory (HBM), the longer the painful wait until the GPUs are ready for inference. As models grow to hundreds of bi", "published_at": "2026-06-01T16:07:19+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7065, @@ -8742,7 +8742,7 @@ "source": "AWS ML", "summary": "In this post, we walk through a practical implementation using KDB-X MCP server integration with Amazon Quick, demonstrating how traders and analysts can ask questions using conversational language and receive actionable insights from datasets. You can apply this same integration", "published_at": "2026-06-01T16:01:24+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7015, @@ -8751,7 +8751,7 @@ "source": "Google AI", "summary": "A collage of I/O-related images, including the Antigravity Coffee Co. pop-up, a colorful jellyfish and a still from the Timmy TPU video. The word AI repeats three times on the left of the image, and there are colorful icons, including a sparkle, as well.", "published_at": "2026-06-01T16:00:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7045, @@ -8760,7 +8760,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-06-01T15:45:17+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7046, @@ -8769,7 +8769,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-06-01T13:51:18+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 6945, @@ -8787,7 +8787,7 @@ "source": "OpenAI", "summary": "OpenAI breaks ground on a 1GW data center project in Michigan as part of Stargate, building AI infrastructure to expand access, create jobs, and support communities.", "published_at": "2026-06-01T12:00:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7202, @@ -8796,7 +8796,7 @@ "source": "OpenAI", "summary": "OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new path to build with OpenAI through the AWS environments, controls, and procurement workflows they already use. Customers can get started with OpenAI on AWS and move faster from evaluation", "published_at": "2026-06-01T10:00:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 4485, @@ -8805,7 +8805,7 @@ "source": "Simon Willison", "summary": "I just sent out the May edition of my sponsors-only monthly newsletter. If you are a sponsor (or if you start a sponsorship now) you can access it here. This month: Al got expensive, and Anthropic had a really good month The model releases were a little disappointing Conferences ", "published_at": "2026-06-01T04:45:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 4445, @@ -8814,7 +8814,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-06-01T04:44:55+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 3185, @@ -8823,7 +8823,7 @@ "source": "Simon Willison", "summary": "Release: datasette 1.0a32 A minor bugfix release. Fixes a bug with INSERT ... RETURNING queries via the new /db/-/execute-write endpoint and a bunch of base_url issues which showed up when I was experimenting with Service Workers yesterday. Tags: datasette, annotated-release-note", "published_at": "2026-05-31T23:23:38+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 3085, @@ -8832,7 +8832,7 @@ "source": "Simon Willison", "summary": "The solution might be cancelling my AI subscription I find this post by David Wilson very relatable. David lists 16+ projects he's spun up with AI tooling, and concludes: I didn't mean to build most of these things. Usually the Claude session started with something like \"write a ", "published_at": "2026-05-31T16:31:32+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 2685, @@ -8841,7 +8841,7 @@ "source": "Simon Willison", "summary": "Anthropic defines “run-rate revenue” in two parts. Use the last 28 days of sales ⁠from customers charged on a consumption basis and multiply it by 13. Then, multiply the monthly subscription take by 12, ​and add the two together. — Karen Kwok for Reuters Breakingviews, citi", "published_at": "2026-05-31T01:48:12+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 2085, @@ -8850,7 +8850,7 @@ "source": "Simon Willison", "summary": "How we contain Claude across products A complaint I often have about sandboxing products is that they are rarely thoroughly documented, and in the absence of detailed documentation it's hard to know how much I can trust them. Anthropic just published a fantastic overview of how t", "published_at": "2026-05-30T21:36:24+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 1886, @@ -8859,7 +8859,7 @@ "source": "Simon Willison", "summary": "I Am Retiring from Tech to Live Offline I've seen a lot of posts on forums from people threatening to quit their careers over AI. This is not one of those: Chad Whitacre is taking concrete steps, starting with this typewritten, scanned letter I'm retiring from tech. Well, \"retiri", "published_at": "2026-05-30T19:39:08+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 1887, @@ -8868,7 +8868,7 @@ "source": "Simon Willison", "summary": "My take on AI is, essentially, everybody who’s against it is too against it and everybody who’s for it is too for it. — Daniel Jalkut, via John Gruber Tags: ai, john-gruber", "published_at": "2026-05-30T17:29:55+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 1885, @@ -8877,7 +8877,7 @@ "source": "Simon Willison", "summary": "Research: Running Python ASGI apps in the browser via Pyodide + a service worker Datasette Lite is my version of Datasette that runs entirely in the browser using Pyodide in WebAssembly. When I first built it four years ago I used Web Workers and code that intercepts navigation o", "published_at": "2026-05-30T15:34:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 61, @@ -8886,7 +8886,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 16, @@ -8895,7 +8895,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 17, @@ -8904,16 +8904,7 @@ "source": "Google AI", "summary": "Gemini Omni & Gemini 3.5 hero", "published_at": "2026-05-29T17:30:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" - }, - { - "id": 2, - "url": "https://openai.com/index/braintrust", - "title": "How Braintrust turns customer requests into code with Codex", - "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 18, @@ -8922,7 +8913,16 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" + }, + { + "id": 2, + "url": "https://openai.com/index/braintrust", + "title": "How Braintrust turns customer requests into code with Codex", + "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": "2026-06-02T12:34:58.836500+00:00" }, { "id": 1, @@ -8931,7 +8931,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 86, @@ -8940,7 +8940,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 3, @@ -8949,7 +8949,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 87, @@ -8958,16 +8958,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" - }, - { - "id": 4, - "url": "https://openai.com/index/trustworthy-third-party-evaluations-foundations", - "title": "A shared playbook for trustworthy third party evaluations", - "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 46, @@ -8976,7 +8967,16 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-29T00:00:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" + }, + { + "id": 4, + "url": "https://openai.com/index/trustworthy-third-party-evaluations-foundations", + "title": "A shared playbook for trustworthy third party evaluations", + "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": "2026-06-02T12:34:58.836500+00:00" }, { "id": 88, @@ -8985,7 +8985,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 89, @@ -8994,7 +8994,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 62, @@ -9003,7 +9003,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 63, @@ -9012,7 +9012,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 64, @@ -9021,7 +9021,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 65, @@ -9030,7 +9030,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 90, @@ -9039,7 +9039,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 66, @@ -9075,7 +9075,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 5, @@ -9084,16 +9084,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" - }, - { - "id": 6, - "url": "https://openai.com/index/openai-frontier-governance-framework", - "title": "OpenAI’s Frontier Governance Framework", - "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 7, @@ -9102,7 +9093,16 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" + }, + { + "id": 6, + "url": "https://openai.com/index/openai-frontier-governance-framework", + "title": "OpenAI’s Frontier Governance Framework", + "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": "2026-06-02T12:34:58.836500+00:00" }, { "id": 91, @@ -9183,7 +9183,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 9, @@ -9192,7 +9192,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 93, @@ -9203,15 +9203,6 @@ "published_at": "2026-05-27T06:41:43+00:00", "updated_at": "2026-06-01T04:18:44.278398+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": "2026-06-02T12:29:19.098817+00:00" - }, { "id": 11, "url": "https://openai.com/index/warp", @@ -9219,7 +9210,16 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" + }, + { + "id": 49, + "url": "https://huggingface.co/blog/delta-weight-sync", + "title": "Shipping a Trillion Parameters With a Hub Bucket: Delta Weight Sync in TRL", + "source": "Hugging Face", + "summary": null, + "published_at": "2026-05-27T00:00:00+00:00", + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 48, @@ -9228,16 +9228,16 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-27T00:00:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { - "id": 49, - "url": "https://huggingface.co/blog/delta-weight-sync", - "title": "Shipping a Trillion Parameters With a Hub Bucket: Delta Weight Sync in TRL", - "source": "Hugging Face", - "summary": null, + "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 94, @@ -9311,6 +9311,15 @@ "published_at": "2026-05-25T23:08:00+00:00", "updated_at": "2026-05-30T15:47:12.601841+00:00" }, + { + "id": 50, + "url": "https://huggingface.co/blog/agent-glossary", + "title": "Harness, Scaffold, and the AI Agent Terms Worth Getting Right", + "source": "Hugging Face", + "summary": null, + "published_at": "2026-05-25T00:00:00+00:00", + "updated_at": "2026-06-02T12:34:58.836500+00:00" + }, { "id": 12, "url": "https://openai.com/index/grupo-folha-grupo-uol-partnership", @@ -9320,15 +9329,6 @@ "published_at": "2026-05-25T00:00:00+00:00", "updated_at": "2026-06-02T07:50:57.645069+00:00" }, - { - "id": 50, - "url": "https://huggingface.co/blog/agent-glossary", - "title": "Harness, Scaffold, and the AI Agent Terms Worth Getting Right", - "source": "Hugging Face", - "summary": null, - "published_at": "2026-05-25T00:00:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" - }, { "id": 100, "url": "https://simonwillison.net/2026/May/24/datasette/#atom-everything", @@ -9354,7 +9354,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 52, @@ -9363,7 +9363,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-22T15:25:59+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 14, @@ -9390,7 +9390,7 @@ "source": "Google DeepMind", "summary": null, "published_at": "2026-05-21T19:46:42+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 15, @@ -9408,7 +9408,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 22, @@ -9417,7 +9417,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 23, @@ -9426,7 +9426,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 53, @@ -9435,7 +9435,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-19T18:38:09+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 27, @@ -9444,7 +9444,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 26, @@ -9453,7 +9453,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 25, @@ -9462,7 +9462,7 @@ "source": "Google AI", "summary": "Google Workspace", "published_at": "2026-05-19T17:45:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 24, @@ -9471,7 +9471,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 30, @@ -9489,7 +9489,7 @@ "source": "Google AI", "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 28, @@ -9498,7 +9498,7 @@ "source": "Google AI", "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 54, @@ -9507,7 +9507,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-19T00:00:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 32, @@ -9516,7 +9516,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 55, @@ -9525,7 +9525,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-18T15:12:46+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 33, @@ -9534,7 +9534,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 34, @@ -9543,7 +9543,7 @@ "source": "Google DeepMind", "summary": null, "published_at": "2026-05-17T19:50:57+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 35, @@ -9552,7 +9552,7 @@ "source": "Google DeepMind", "summary": null, "published_at": "2026-05-17T19:43:45+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 36, @@ -9561,7 +9561,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 37, @@ -9570,7 +9570,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 38, @@ -9579,7 +9579,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 39, @@ -9588,7 +9588,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 40, @@ -9597,7 +9597,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 41, @@ -9606,7 +9606,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 42, @@ -9615,7 +9615,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 43, @@ -9624,7 +9624,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 44, @@ -9633,7 +9633,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 45, @@ -9642,7 +9642,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 56, @@ -9651,7 +9651,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-14T18:55:01+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 57, @@ -9660,7 +9660,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-14T00:00:00+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 58, @@ -9669,7 +9669,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-11T23:18:26+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 59, @@ -9678,7 +9678,7 @@ "source": "Hugging Face", "summary": null, "published_at": "2026-05-06T19:06:55+00:00", - "updated_at": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 60, @@ -9696,7 +9696,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 77, @@ -9705,7 +9705,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 78, @@ -9714,7 +9714,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 79, @@ -9723,7 +9723,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 80, @@ -9732,7 +9732,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 81, @@ -9741,7 +9741,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 82, @@ -9750,7 +9750,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 83, @@ -9759,7 +9759,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 84, @@ -9768,7 +9768,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" }, { "id": 85, @@ -9777,7 +9777,7 @@ "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": "2026-06-02T12:29:19.098817+00:00" + "updated_at": "2026-06-02T12:34:58.836500+00:00" } ] } \ No newline at end of file