diff --git "a/dynamic_feed.json" "b/dynamic_feed.json"
--- "a/dynamic_feed.json"
+++ "b/dynamic_feed.json"
@@ -1,16 +1,16 @@
 {
- "generated_at": "2026-05-31T23:46:22.608859+00:00",
+ "generated_at": "2026-05-31T23:55:06.832135+00:00",
  "license": "CC-BY-4.0 (attribution to https://dynamicfeed.ai)",
  "models": [
   {
-   "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,
@@ -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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 154,
@@ -36,7 +36,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 1211,
+   "provider": "groq",
+   "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": 8192,
+   "max_output_tokens": 8192,
+   "modalities": "text",
+   "supports_tools": true,
+   "supports_vision": false,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 153,
@@ -54,25 +72,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 1209,
-   "provider": "groq",
-   "model_id": "llama-3.1-8b-instant",
-   "display_name": "llama-3.1-8b-instant",
-   "input_per_1m": 0.05,
-   "output_per_1m": 0.08,
-   "cached_input_per_1m": null,
-   "context_window": 128000,
-   "max_output_tokens": 8192,
-   "modalities": "text",
-   "supports_tools": true,
-   "supports_vision": false,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1252,
@@ -90,7 +90,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1251,
@@ -108,25 +108,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 1217,
-   "provider": "groq",
-   "model_id": "gpt-oss-20b",
-   "display_name": "gpt-oss-20b",
-   "input_per_1m": 0.075,
-   "output_per_1m": 0.3,
-   "cached_input_per_1m": 0.0375,
-   "context_window": 131072,
-   "max_output_tokens": 32768,
-   "modalities": "text",
-   "supports_tools": true,
-   "supports_vision": false,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1117,
@@ -144,7 +126,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 1217,
+   "provider": "groq",
+   "model_id": "gpt-oss-20b",
+   "display_name": "gpt-oss-20b",
+   "input_per_1m": 0.075,
+   "output_per_1m": 0.3,
+   "cached_input_per_1m": 0.0375,
+   "context_window": 131072,
+   "max_output_tokens": 32768,
+   "modalities": "text",
+   "supports_tools": true,
+   "supports_vision": false,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1317,
@@ -162,7 +162,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1218,
@@ -180,34 +180,16 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 1253,
-   "provider": "mistral",
-   "model_id": "ministral-3-3b-2512",
-   "display_name": "ministral-3-3b-2512",
-   "input_per_1m": 0.1,
-   "output_per_1m": 0.1,
-   "cached_input_per_1m": null,
-   "context_window": 131072,
-   "max_output_tokens": 131072,
-   "modalities": "text,image",
-   "supports_tools": true,
-   "supports_vision": true,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1124,
+   "id": 1119,
    "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",
+   "display_name": "gemini-2.5-flash-lite",
    "input_per_1m": 0.1,
    "output_per_1m": 0.4,
-   "cached_input_per_1m": 0.025,
+   "cached_input_per_1m": 0.01,
    "context_window": 1048576,
    "max_output_tokens": 65535,
    "modalities": "text,image",
@@ -216,7 +198,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 104,
@@ -234,7 +216,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 105,
@@ -252,7 +234,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 1227,
+   "provider": "mistral",
+   "model_id": "devstral-small-latest",
+   "display_name": "devstral-small-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",
+   "supports_tools": true,
+   "supports_vision": false,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1250,
@@ -270,16 +270,16 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1120,
+   "id": 1124,
    "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-preview-06-17",
+   "display_name": "gemini-2.5-flash-lite-preview-06-17",
    "input_per_1m": 0.1,
    "output_per_1m": 0.4,
-   "cached_input_per_1m": 0.01,
+   "cached_input_per_1m": 0.025,
    "context_window": 1048576,
    "max_output_tokens": 65535,
    "modalities": "text,image",
@@ -288,139 +288,139 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1115,
+   "id": 278,
    "provider": "google",
-   "model_id": "gemini-2.0-flash",
-   "display_name": "gemini-2.0-flash",
+   "model_id": "gemini-flash-lite-latest",
+   "display_name": "gemini-flash-lite-latest",
    "input_per_1m": 0.1,
    "output_per_1m": 0.4,
-   "cached_input_per_1m": 0.025,
+   "cached_input_per_1m": 0.01,
    "context_window": 1048576,
-   "max_output_tokens": 8192,
-   "modalities": "text,image,audio",
+   "max_output_tokens": 65535,
+   "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1116,
+   "id": 1115,
    "provider": "google",
-   "model_id": "gemini-2.0-flash-001",
-   "display_name": "gemini-2.0-flash-001",
+   "model_id": "gemini-2.0-flash",
+   "display_name": "gemini-2.0-flash",
    "input_per_1m": 0.1,
    "output_per_1m": 0.4,
    "cached_input_per_1m": 0.025,
    "context_window": 1048576,
    "max_output_tokens": 8192,
-   "modalities": "text,image",
+   "modalities": "text,image,audio",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1226,
+   "id": 1228,
    "provider": "mistral",
-   "model_id": "devstral-small-2507",
-   "display_name": "devstral-small-2507",
+   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1225,
+   "id": 1253,
    "provider": "mistral",
-   "model_id": "devstral-small-2505",
-   "display_name": "devstral-small-2505",
+   "model_id": "ministral-3-3b-2512",
+   "display_name": "ministral-3-3b-2512",
    "input_per_1m": 0.1,
-   "output_per_1m": 0.3,
+   "output_per_1m": 0.1,
    "cached_input_per_1m": null,
-   "context_window": 128000,
-   "max_output_tokens": 128000,
-   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1227,
-   "provider": "mistral",
-   "model_id": "devstral-small-latest",
-   "display_name": "devstral-small-latest",
+   "id": 1116,
+   "provider": "google",
+   "model_id": "gemini-2.0-flash-001",
+   "display_name": "gemini-2.0-flash-001",
    "input_per_1m": 0.1,
-   "output_per_1m": 0.3,
-   "cached_input_per_1m": null,
-   "context_window": 256000,
-   "max_output_tokens": 256000,
-   "modalities": "text",
+   "output_per_1m": 0.4,
+   "cached_input_per_1m": 0.025,
+   "context_window": 1048576,
+   "max_output_tokens": 8192,
+   "modalities": "text,image",
    "supports_tools": true,
-   "supports_vision": false,
+   "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1228,
+   "id": 1226,
    "provider": "mistral",
-   "model_id": "labs-devstral-small-2512",
-   "display_name": "labs-devstral-small-2512",
+   "model_id": "devstral-small-2507",
+   "display_name": "devstral-small-2507",
    "input_per_1m": 0.1,
    "output_per_1m": 0.3,
    "cached_input_per_1m": null,
-   "context_window": 256000,
-   "max_output_tokens": 256000,
+   "context_window": 128000,
+   "max_output_tokens": 128000,
    "modalities": "text",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1119,
-   "provider": "google",
-   "model_id": "gemini-2.5-flash-lite",
-   "display_name": "gemini-2.5-flash-lite",
+   "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": 0.01,
-   "context_window": 1048576,
-   "max_output_tokens": 65535,
-   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 278,
+   "id": 1120,
    "provider": "google",
-   "model_id": "gemini-flash-lite-latest",
-   "display_name": "gemini-flash-lite-latest",
+   "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": 0.01,
@@ -432,7 +432,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1214,
@@ -450,7 +450,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1097,
@@ -468,43 +468,61 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1254,
-   "provider": "mistral",
-   "model_id": "ministral-3-8b-2512",
-   "display_name": "ministral-3-8b-2512",
+   "id": 126,
+   "provider": "openai",
+   "model_id": "gpt-4o-mini-search-preview-2025-03-11",
+   "display_name": "gpt-4o-mini-search-preview-2025-03-11",
    "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1264,
-   "provider": "mistral",
-   "model_id": "pixtral-12b-2409",
-   "display_name": "pixtral-12b-2409",
+   "id": 1216,
+   "provider": "groq",
+   "model_id": "gpt-oss-120b",
+   "display_name": "gpt-oss-120b",
    "input_per_1m": 0.15,
-   "output_per_1m": 0.15,
-   "cached_input_per_1m": null,
-   "context_window": 128000,
-   "max_output_tokens": 128000,
+   "output_per_1m": 0.6,
+   "cached_input_per_1m": 0.075,
+   "context_window": 131072,
+   "max_output_tokens": 32766,
+   "modalities": "text",
+   "supports_tools": true,
+   "supports_vision": false,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1256,
@@ -522,25 +540,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 126,
-   "provider": "openai",
-   "model_id": "gpt-4o-mini-search-preview-2025-03-11",
-   "display_name": "gpt-4o-mini-search-preview-2025-03-11",
+   "id": 1254,
+   "provider": "mistral",
+   "model_id": "ministral-3-8b-2512",
+   "display_name": "ministral-3-8b-2512",
    "input_per_1m": 0.15,
-   "output_per_1m": 0.6,
-   "cached_input_per_1m": 0.075,
-   "context_window": 128000,
-   "max_output_tokens": 16384,
+   "output_per_1m": 0.15,
+   "cached_input_per_1m": null,
+   "context_window": 262144,
+   "max_output_tokens": 262144,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 125,
@@ -558,7 +576,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 122,
@@ -576,7 +594,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 121,
@@ -594,7 +612,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 120,
@@ -612,7 +630,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 119,
@@ -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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1216,
-   "provider": "groq",
-   "model_id": "gpt-oss-120b",
-   "display_name": "gpt-oss-120b",
-   "input_per_1m": 0.15,
-   "output_per_1m": 0.6,
-   "cached_input_per_1m": 0.075,
-   "context_window": 131072,
-   "max_output_tokens": 32766,
-   "modalities": "text",
+   "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": false,
+   "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1212,
@@ -666,13 +684,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1300,
+   "id": 1299,
    "provider": "xai",
-   "model_id": "grok-4-1-fast-non-reasoning",
-   "display_name": "grok-4-1-fast-non-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,
@@ -684,13 +702,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1301,
+   "id": 1297,
    "provider": "xai",
-   "model_id": "grok-4-1-fast-non-reasoning-latest",
-   "display_name": "grok-4-1-fast-non-reasoning-latest",
+   "model_id": "grok-4-1-fast",
+   "display_name": "grok-4-1-fast",
    "input_per_1m": 0.2,
    "output_per_1m": 0.5,
    "cached_input_per_1m": 0.05,
@@ -702,13 +720,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1298,
+   "id": 1301,
    "provider": "xai",
-   "model_id": "grok-4-1-fast-reasoning",
-   "display_name": "grok-4-1-fast-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,
@@ -720,43 +738,43 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1297,
-   "provider": "xai",
-   "model_id": "grok-4-1-fast",
-   "display_name": "grok-4-1-fast",
+   "id": 4,
+   "provider": "openai",
+   "model_id": "gpt-5.4-nano",
+   "display_name": "gpt-5.4-nano",
    "input_per_1m": 0.2,
-   "output_per_1m": 0.5,
-   "cached_input_per_1m": 0.05,
-   "context_window": 2000000,
-   "max_output_tokens": 2000000,
-   "modalities": "text,image,audio",
+   "output_per_1m": 1.25,
+   "cached_input_per_1m": 0.02,
+   "context_window": 272000,
+   "max_output_tokens": 128000,
+   "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1310,
-   "provider": "xai",
-   "model_id": "grok-code-fast-1",
-   "display_name": "grok-code-fast-1",
+   "id": 57,
+   "provider": "openai",
+   "model_id": "ft:gpt-4.1-nano-2025-04-14",
+   "display_name": "ft:gpt-4.1-nano-2025-04-14",
    "input_per_1m": 0.2,
-   "output_per_1m": 1.5,
-   "cached_input_per_1m": 0.02,
-   "context_window": 256000,
-   "max_output_tokens": 256000,
+   "output_per_1m": 0.8,
+   "cached_input_per_1m": 0.05,
+   "context_window": 1047576,
+   "max_output_tokens": 32768,
    "modalities": "text",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1293,
@@ -774,79 +792,79 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1309,
+   "id": 1298,
    "provider": "xai",
-   "model_id": "grok-code-fast",
-   "display_name": "grok-code-fast",
+   "model_id": "grok-4-1-fast-reasoning",
+   "display_name": "grok-4-1-fast-reasoning",
    "input_per_1m": 0.2,
-   "output_per_1m": 1.5,
-   "cached_input_per_1m": 0.02,
-   "context_window": 256000,
-   "max_output_tokens": 256000,
-   "modalities": "text",
+   "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": false,
+   "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1255,
-   "provider": "mistral",
-   "model_id": "ministral-3-14b-2512",
-   "display_name": "ministral-3-14b-2512",
+   "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": 0.2,
+   "output_per_1m": 0.6,
    "cached_input_per_1m": null,
-   "context_window": 262144,
-   "max_output_tokens": 262144,
+   "context_window": 131072,
+   "max_output_tokens": 8192,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1294,
+   "id": 1310,
    "provider": "xai",
-   "model_id": "grok-4-fast-non-reasoning",
-   "display_name": "grok-4-fast-non-reasoning",
+   "model_id": "grok-code-fast-1",
+   "display_name": "grok-code-fast-1",
    "input_per_1m": 0.2,
-   "output_per_1m": 0.5,
-   "cached_input_per_1m": 0.05,
-   "context_window": 2000000,
-   "max_output_tokens": 2000000,
+   "output_per_1m": 1.5,
+   "cached_input_per_1m": 0.02,
+   "context_window": 256000,
+   "max_output_tokens": 256000,
    "modalities": "text",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 4,
-   "provider": "openai",
-   "model_id": "gpt-5.4-nano",
-   "display_name": "gpt-5.4-nano",
+   "id": 1309,
+   "provider": "xai",
+   "model_id": "grok-code-fast",
+   "display_name": "grok-code-fast",
    "input_per_1m": 0.2,
-   "output_per_1m": 1.25,
+   "output_per_1m": 1.5,
    "cached_input_per_1m": 0.02,
-   "context_window": 272000,
-   "max_output_tokens": 128000,
-   "modalities": "text,image",
+   "context_window": 256000,
+   "max_output_tokens": 256000,
+   "modalities": "text",
    "supports_tools": true,
-   "supports_vision": true,
+   "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 147,
@@ -864,79 +882,79 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1311,
-   "provider": "xai",
-   "model_id": "grok-code-fast-1-0825",
-   "display_name": "grok-code-fast-1-0825",
+   "id": 1255,
+   "provider": "mistral",
+   "model_id": "ministral-3-14b-2512",
+   "display_name": "ministral-3-14b-2512",
    "input_per_1m": 0.2,
-   "output_per_1m": 1.5,
-   "cached_input_per_1m": 0.02,
-   "context_window": 256000,
-   "max_output_tokens": 256000,
-   "modalities": "text",
+   "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": false,
+   "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1299,
+   "id": 1294,
    "provider": "xai",
-   "model_id": "grok-4-1-fast-reasoning-latest",
-   "display_name": "grok-4-1-fast-reasoning-latest",
+   "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,image,audio",
+   "modalities": "text",
    "supports_tools": true,
-   "supports_vision": true,
+   "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1213,
-   "provider": "groq",
-   "model_id": "llama-4-maverick-17b-128e-instruct",
-   "display_name": "llama-4-maverick-17b-128e-instruct",
+   "id": 1311,
+   "provider": "xai",
+   "model_id": "grok-code-fast-1-0825",
+   "display_name": "grok-code-fast-1-0825",
    "input_per_1m": 0.2,
-   "output_per_1m": 0.6,
-   "cached_input_per_1m": null,
-   "context_window": 131072,
-   "max_output_tokens": 8192,
-   "modalities": "text,image",
+   "output_per_1m": 1.5,
+   "cached_input_per_1m": 0.02,
+   "context_window": 256000,
+   "max_output_tokens": 256000,
+   "modalities": "text",
    "supports_tools": true,
-   "supports_vision": true,
+   "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+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",
-   "input_per_1m": 0.2,
-   "output_per_1m": 0.8,
-   "cached_input_per_1m": 0.05,
-   "context_window": 1047576,
-   "max_output_tokens": 32768,
+   "id": 1258,
+   "provider": "mistral",
+   "model_id": "open-codestral-mamba",
+   "display_name": "open-codestral-mamba",
+   "input_per_1m": 0.25,
+   "output_per_1m": 0.25,
+   "cached_input_per_1m": null,
+   "context_window": 256000,
+   "max_output_tokens": 256000,
    "modalities": "text",
-   "supports_tools": true,
+   "supports_tools": false,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 152,
@@ -954,31 +972,67 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1223,
+   "id": 1259,
    "provider": "mistral",
-   "model_id": "codestral-mamba-latest",
-   "display_name": "codestral-mamba-latest",
+   "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,
-   "context_window": 256000,
-   "max_output_tokens": 256000,
+   "context_window": 32000,
+   "max_output_tokens": 8191,
    "modalities": "text",
    "supports_tools": false,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1259,
+   "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": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 1128,
+   "provider": "google",
+   "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,
+   "context_window": 1048576,
+   "max_output_tokens": 65536,
+   "modalities": "text,image,audio",
+   "supports_tools": true,
+   "supports_vision": true,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 1257,
    "provider": "mistral",
-   "model_id": "open-mistral-7b",
-   "display_name": "open-mistral-7b",
+   "model_id": "mistral-tiny",
+   "display_name": "mistral-tiny",
    "input_per_1m": 0.25,
    "output_per_1m": 0.25,
    "cached_input_per_1m": null,
@@ -990,13 +1044,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+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,
@@ -1008,7 +1062,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 21,
@@ -1026,43 +1080,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 1257,
-   "provider": "mistral",
-   "model_id": "mistral-tiny",
-   "display_name": "mistral-tiny",
-   "input_per_1m": 0.25,
-   "output_per_1m": 0.25,
-   "cached_input_per_1m": null,
-   "context_window": 32000,
-   "max_output_tokens": 8191,
-   "modalities": "text",
-   "supports_tools": false,
-   "supports_vision": false,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1129,
@@ -1080,25 +1098,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 1128,
-   "provider": "google",
-   "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,
-   "context_window": 1048576,
-   "max_output_tokens": 65536,
-   "modalities": "text,image,audio",
-   "supports_tools": true,
-   "supports_vision": true,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1100,
@@ -1116,25 +1116,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1101,
+   "id": 40,
    "provider": "deepseek",
-   "model_id": "deepseek-v3.2",
-   "display_name": "deepseek-v3.2",
+   "model_id": "deepseek-reasoner",
+   "display_name": "deepseek-reasoner",
    "input_per_1m": 0.28,
-   "output_per_1m": 0.4,
-   "cached_input_per_1m": null,
-   "context_window": 163840,
-   "max_output_tokens": 163840,
+   "output_per_1m": 0.42,
+   "cached_input_per_1m": 0.028,
+   "context_window": 131072,
+   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 39,
@@ -1152,25 +1152,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 40,
+   "id": 1101,
    "provider": "deepseek",
-   "model_id": "deepseek-reasoner",
-   "display_name": "deepseek-reasoner",
+   "model_id": "deepseek-v3.2",
+   "display_name": "deepseek-v3.2",
    "input_per_1m": 0.28,
-   "output_per_1m": 0.42,
-   "cached_input_per_1m": 0.028,
-   "context_window": 131072,
-   "max_output_tokens": 65536,
+   "output_per_1m": 0.4,
+   "cached_input_per_1m": null,
+   "context_window": 163840,
+   "max_output_tokens": 163840,
    "modalities": "text",
-   "supports_tools": false,
+   "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1219,
@@ -1188,25 +1188,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 1286,
-   "provider": "xai",
-   "model_id": "grok-3-mini",
-   "display_name": "grok-3-mini",
-   "input_per_1m": 0.3,
-   "output_per_1m": 0.5,
-   "cached_input_per_1m": 0.075,
-   "context_window": 131072,
-   "max_output_tokens": 131072,
-   "modalities": "text",
-   "supports_tools": true,
-   "supports_vision": false,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1261,
@@ -1224,67 +1206,49 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1260,
-   "provider": "mistral",
-   "model_id": "open-mistral-nemo",
-   "display_name": "open-mistral-nemo",
+   "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": 0.3,
+   "output_per_1m": 2.5,
    "cached_input_per_1m": null,
-   "context_window": 128000,
-   "max_output_tokens": 128000,
-   "modalities": "text",
+   "context_window": 1048576,
+   "max_output_tokens": 8192,
+   "modalities": "text,audio",
    "supports_tools": false,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1114,
+   "id": 270,
    "provider": "google",
-   "model_id": "gemini-robotics-er-1.5-preview",
-   "display_name": "gemini-robotics-er-1.5-preview",
+   "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": 0.0,
+   "cached_input_per_1m": null,
    "context_window": 1048576,
-   "max_output_tokens": 65535,
-   "modalities": "text,image",
-   "supports_tools": true,
-   "supports_vision": true,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 1291,
-   "provider": "xai",
-   "model_id": "grok-3-mini-latest",
-   "display_name": "grok-3-mini-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,
+   "max_output_tokens": 8192,
+   "modalities": "text,audio",
+   "supports_tools": false,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+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,
@@ -1296,25 +1260,43 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 269,
+   "id": 281,
    "provider": "google",
-   "model_id": "gemini-2.5-flash-native-audio-latest",
-   "display_name": "gemini-2.5-flash-native-audio-latest",
+   "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,
+   "max_output_tokens": 65535,
+   "modalities": "text,image",
+   "supports_tools": true,
+   "supports_vision": true,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 1286,
+   "provider": "xai",
+   "model_id": "grok-3-mini",
+   "display_name": "grok-3-mini",
+   "input_per_1m": 0.3,
+   "output_per_1m": 0.5,
+   "cached_input_per_1m": 0.075,
+   "context_window": 131072,
+   "max_output_tokens": 131072,
+   "modalities": "text",
+   "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 54,
@@ -1332,31 +1314,31 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 271,
+   "id": 277,
    "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-flash-latest",
+   "display_name": "gemini-flash-latest",
    "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 281,
+   "id": 1118,
    "provider": "google",
-   "model_id": "gemini-exp-1206",
-   "display_name": "gemini-exp-1206",
+   "model_id": "gemini-2.5-flash",
+   "display_name": "gemini-2.5-flash",
    "input_per_1m": 0.3,
    "output_per_1m": 2.5,
    "cached_input_per_1m": 0.03,
@@ -1368,25 +1350,61 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1221,
-   "provider": "mistral",
-   "model_id": "codestral-2508",
-   "display_name": "codestral-2508",
-   "input_per_1m": 0.3,
-   "output_per_1m": 0.9,
-   "cached_input_per_1m": null,
-   "context_window": 256000,
-   "max_output_tokens": 256000,
+   "id": 1287,
+   "provider": "xai",
+   "model_id": "grok-3-mini-beta",
+   "display_name": "grok-3-mini-beta",
+   "input_per_1m": 0.3,
+   "output_per_1m": 0.5,
+   "cached_input_per_1m": 0.075,
+   "context_window": 131072,
+   "max_output_tokens": 131072,
+   "modalities": "text",
+   "supports_tools": true,
+   "supports_vision": false,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 1291,
+   "provider": "xai",
+   "model_id": "grok-3-mini-latest",
+   "display_name": "grok-3-mini-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,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 1260,
+   "provider": "mistral",
+   "model_id": "open-mistral-nemo",
+   "display_name": "open-mistral-nemo",
+   "input_per_1m": 0.3,
+   "output_per_1m": 0.3,
+   "cached_input_per_1m": null,
+   "context_window": 128000,
+   "max_output_tokens": 128000,
+   "modalities": "text",
+   "supports_tools": false,
+   "supports_vision": false,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1121,
@@ -1404,16 +1422,16 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1118,
+   "id": 1114,
    "provider": "google",
-   "model_id": "gemini-2.5-flash",
-   "display_name": "gemini-2.5-flash",
+   "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",
@@ -1422,43 +1440,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1287,
-   "provider": "xai",
-   "model_id": "grok-3-mini-beta",
-   "display_name": "grok-3-mini-beta",
+   "id": 1221,
+   "provider": "mistral",
+   "model_id": "codestral-2508",
+   "display_name": "codestral-2508",
    "input_per_1m": 0.3,
-   "output_per_1m": 0.5,
-   "cached_input_per_1m": 0.075,
-   "context_window": 131072,
-   "max_output_tokens": 131072,
+   "output_per_1m": 0.9,
+   "cached_input_per_1m": null,
+   "context_window": 256000,
+   "max_output_tokens": 256000,
    "modalities": "text",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 277,
-   "provider": "google",
-   "model_id": "gemini-flash-latest",
-   "display_name": "gemini-flash-latest",
-   "input_per_1m": 0.3,
-   "output_per_1m": 2.5,
-   "cached_input_per_1m": 0.03,
-   "context_window": 1048576,
-   "max_output_tokens": 65535,
-   "modalities": "text,image",
-   "supports_tools": true,
-   "supports_vision": true,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1136,
@@ -1476,7 +1476,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1135,
@@ -1494,25 +1494,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1229,
+   "id": 1224,
    "provider": "mistral",
-   "model_id": "devstral-latest",
-   "display_name": "devstral-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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1230,
@@ -1530,25 +1530,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1224,
+   "id": 1229,
    "provider": "mistral",
-   "model_id": "devstral-medium-2507",
-   "display_name": "devstral-medium-2507",
+   "model_id": "devstral-latest",
+   "display_name": "devstral-latest",
    "input_per_1m": 0.4,
    "output_per_1m": 2.0,
    "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1231,
@@ -1566,7 +1566,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 102,
@@ -1584,7 +1584,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 103,
@@ -1602,7 +1602,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1247,
@@ -1620,7 +1620,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1248,
@@ -1638,7 +1638,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1249,
@@ -1656,7 +1656,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1236,
@@ -1674,25 +1674,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1237,
-   "provider": "mistral",
-   "model_id": "magistral-small-latest",
-   "display_name": "magistral-small-latest",
+   "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": 40000,
-   "max_output_tokens": 40000,
+   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 88,
@@ -1710,13 +1710,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1242,
+   "id": 1244,
    "provider": "mistral",
-   "model_id": "mistral-large-latest",
-   "display_name": "mistral-large-latest",
+   "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,
@@ -1728,97 +1728,97 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1243,
-   "provider": "mistral",
-   "model_id": "mistral-large-3",
-   "display_name": "mistral-large-3",
+   "id": 1130,
+   "provider": "google",
+   "model_id": "gemini-3-flash-preview",
+   "display_name": "gemini-3-flash-preview",
    "input_per_1m": 0.5,
-   "output_per_1m": 1.5,
-   "cached_input_per_1m": null,
-   "context_window": 262144,
-   "max_output_tokens": 262144,
+   "output_per_1m": 3.0,
+   "cached_input_per_1m": 0.05,
+   "context_window": 1048576,
+   "max_output_tokens": 65535,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1244,
+   "id": 1238,
    "provider": "mistral",
-   "model_id": "mistral-large-2512",
-   "display_name": "mistral-large-2512",
+   "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": 262144,
-   "max_output_tokens": 262144,
-   "modalities": "text,image",
+   "context_window": 40000,
+   "max_output_tokens": 40000,
+   "modalities": "text",
    "supports_tools": true,
-   "supports_vision": true,
+   "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1130,
-   "provider": "google",
-   "model_id": "gemini-3-flash-preview",
-   "display_name": "gemini-3-flash-preview",
+   "id": 1243,
+   "provider": "mistral",
+   "model_id": "mistral-large-3",
+   "display_name": "mistral-large-3",
    "input_per_1m": 0.5,
-   "output_per_1m": 3.0,
-   "cached_input_per_1m": 0.05,
-   "context_window": 1048576,
-   "max_output_tokens": 65535,
+   "output_per_1m": 1.5,
+   "cached_input_per_1m": null,
+   "context_window": 262144,
+   "max_output_tokens": 262144,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 89,
-   "provider": "openai",
-   "model_id": "gpt-3.5-turbo-0125",
-   "display_name": "gpt-3.5-turbo-0125",
+   "id": 1237,
+   "provider": "mistral",
+   "model_id": "magistral-small-latest",
+   "display_name": "magistral-small-latest",
    "input_per_1m": 0.5,
    "output_per_1m": 1.5,
    "cached_input_per_1m": null,
-   "context_window": 16385,
-   "max_output_tokens": 4096,
+   "context_window": 40000,
+   "max_output_tokens": 40000,
    "modalities": "text",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1238,
+   "id": 1242,
    "provider": "mistral",
-   "model_id": "magistral-small-1-2-2509",
-   "display_name": "magistral-small-1-2-2509",
+   "model_id": "mistral-large-latest",
+   "display_name": "mistral-large-latest",
    "input_per_1m": 0.5,
    "output_per_1m": 1.5,
    "cached_input_per_1m": null,
-   "context_window": 40000,
-   "max_output_tokens": 40000,
-   "modalities": "text",
+   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1098,
@@ -1836,7 +1836,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1210,
@@ -1854,16 +1854,16 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 158,
+   "id": 266,
    "provider": "openai",
-   "model_id": "gpt-realtime-mini",
-   "display_name": "gpt-realtime-mini",
+   "model_id": "gpt-realtime-mini-2025-10-06",
+   "display_name": "gpt-realtime-mini-2025-10-06",
    "input_per_1m": 0.6,
    "output_per_1m": 2.4,
-   "cached_input_per_1m": null,
+   "cached_input_per_1m": 0.06,
    "context_window": 128000,
    "max_output_tokens": 4096,
    "modalities": "text,audio",
@@ -1872,31 +1872,31 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 118,
-   "provider": "openai",
-   "model_id": "gpt-audio-mini-2025-12-15",
-   "display_name": "gpt-audio-mini-2025-12-15",
+   "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": 2.4,
-   "cached_input_per_1m": null,
-   "context_window": 128000,
-   "max_output_tokens": 16384,
-   "modalities": "text,audio",
+   "output_per_1m": 4.0,
+   "cached_input_per_1m": 0.15,
+   "context_window": 131072,
+   "max_output_tokens": 131072,
+   "modalities": "text",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+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,
@@ -1908,139 +1908,139 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 116,
-   "provider": "openai",
-   "model_id": "gpt-audio-mini",
-   "display_name": "gpt-audio-mini",
+   "id": 1288,
+   "provider": "xai",
+   "model_id": "grok-3-mini-fast",
+   "display_name": "grok-3-mini-fast",
    "input_per_1m": 0.6,
-   "output_per_1m": 2.4,
-   "cached_input_per_1m": null,
-   "context_window": 128000,
-   "max_output_tokens": 16384,
-   "modalities": "text,audio",
+   "output_per_1m": 4.0,
+   "cached_input_per_1m": 0.15,
+   "context_window": 131072,
+   "max_output_tokens": 131072,
+   "modalities": "text",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 123,
-   "provider": "openai",
-   "model_id": "gpt-4o-mini-realtime-preview",
-   "display_name": "gpt-4o-mini-realtime-preview",
+   "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": 0.3,
-   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 124,
+   "id": 118,
    "provider": "openai",
-   "model_id": "gpt-4o-mini-realtime-preview-2024-12-17",
-   "display_name": "gpt-4o-mini-realtime-preview-2024-12-17",
+   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1288,
-   "provider": "xai",
-   "model_id": "grok-3-mini-fast",
-   "display_name": "grok-3-mini-fast",
+   "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": 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": 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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1289,
-   "provider": "xai",
-   "model_id": "grok-3-mini-fast-beta",
-   "display_name": "grok-3-mini-fast-beta",
+   "id": 124,
+   "provider": "openai",
+   "model_id": "gpt-4o-mini-realtime-preview-2024-12-17",
+   "display_name": "gpt-4o-mini-realtime-preview-2024-12-17",
    "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": 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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1290,
-   "provider": "xai",
-   "model_id": "grok-3-mini-fast-latest",
-   "display_name": "grok-3-mini-fast-latest",
+   "id": 158,
+   "provider": "openai",
+   "model_id": "gpt-realtime-mini",
+   "display_name": "gpt-realtime-mini",
    "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": 4096,
+   "modalities": "text,audio",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 267,
+   "id": 117,
    "provider": "openai",
-   "model_id": "gpt-realtime-mini-2025-12-15",
-   "display_name": "gpt-realtime-mini-2025-12-15",
+   "model_id": "gpt-audio-mini-2025-10-06",
+   "display_name": "gpt-audio-mini-2025-10-06",
    "input_per_1m": 0.6,
    "output_per_1m": 2.4,
-   "cached_input_per_1m": 0.06,
+   "cached_input_per_1m": null,
    "context_window": 128000,
-   "max_output_tokens": 4096,
+   "max_output_tokens": 16384,
    "modalities": "text,audio",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 266,
+   "id": 267,
    "provider": "openai",
-   "model_id": "gpt-realtime-mini-2025-10-06",
-   "display_name": "gpt-realtime-mini-2025-10-06",
+   "model_id": "gpt-realtime-mini-2025-12-15",
+   "display_name": "gpt-realtime-mini-2025-12-15",
    "input_per_1m": 0.6,
    "output_per_1m": 2.4,
    "cached_input_per_1m": 0.06,
@@ -2052,7 +2052,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1263,
@@ -2070,13 +2070,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 3,
+   "id": 145,
    "provider": "openai",
-   "model_id": "gpt-5.4-mini",
-   "display_name": "gpt-5.4-mini",
+   "model_id": "gpt-5.4-mini-2026-03-17",
+   "display_name": "gpt-5.4-mini-2026-03-17",
    "input_per_1m": 0.75,
    "output_per_1m": 4.5,
    "cached_input_per_1m": 0.075,
@@ -2088,7 +2088,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 272,
@@ -2106,13 +2106,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 145,
+   "id": 3,
    "provider": "openai",
-   "model_id": "gpt-5.4-mini-2026-03-17",
-   "display_name": "gpt-5.4-mini-2026-03-17",
+   "model_id": "gpt-5.4-mini",
+   "display_name": "gpt-5.4-mini",
    "input_per_1m": 0.75,
    "output_per_1m": 4.5,
    "cached_input_per_1m": 0.075,
@@ -2124,7 +2124,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 56,
@@ -2142,7 +2142,61 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 9,
+   "provider": "anthropic",
+   "model_id": "claude-haiku-4-5",
+   "display_name": "claude-haiku-4-5",
+   "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": "2026-05-31T23:52:33.158030+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": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 90,
+   "provider": "openai",
+   "model_id": "gpt-3.5-turbo-1106",
+   "display_name": "gpt-3.5-turbo-1106",
+   "input_per_1m": 1.0,
+   "output_per_1m": 2.0,
+   "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": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1222,
@@ -2160,7 +2214,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1215,
@@ -2178,25 +2232,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 9,
-   "provider": "anthropic",
-   "model_id": "claude-haiku-4-5",
-   "display_name": "claude-haiku-4-5",
-   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1220,
@@ -2214,49 +2250,31 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 90,
+   "id": 223,
    "provider": "openai",
-   "model_id": "gpt-3.5-turbo-1106",
-   "display_name": "gpt-3.5-turbo-1106",
-   "input_per_1m": 1.0,
-   "output_per_1m": 2.0,
-   "cached_input_per_1m": null,
-   "context_window": 16385,
-   "max_output_tokens": 4096,
+   "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,
    "modalities": "text",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 224,
+   "id": 225,
    "provider": "openai",
-   "model_id": "o4-mini",
-   "display_name": "o4-mini",
+   "model_id": "o4-mini-2025-04-16",
+   "display_name": "o4-mini-2025-04-16",
    "input_per_1m": 1.1,
    "output_per_1m": 4.4,
    "cached_input_per_1m": 0.275,
@@ -2268,13 +2286,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 225,
+   "id": 224,
    "provider": "openai",
-   "model_id": "o4-mini-2025-04-16",
-   "display_name": "o4-mini-2025-04-16",
+   "model_id": "o4-mini",
+   "display_name": "o4-mini",
    "input_per_1m": 1.1,
    "output_per_1m": 4.4,
    "cached_input_per_1m": 0.275,
@@ -2286,7 +2304,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 222,
@@ -2304,31 +2322,31 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 223,
+   "id": 133,
    "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,
-   "modalities": "text",
+   "model_id": "gpt-5.1",
+   "display_name": "gpt-5.1",
+   "input_per_1m": 1.25,
+   "output_per_1m": 10.0,
+   "cached_input_per_1m": 0.125,
+   "context_window": 272000,
+   "max_output_tokens": 128000,
+   "modalities": "text,image",
    "supports_tools": true,
-   "supports_vision": false,
+   "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 148,
+   "id": 5,
    "provider": "openai",
-   "model_id": "gpt-5-2025-08-07",
-   "display_name": "gpt-5-2025-08-07",
+   "model_id": "gpt-5",
+   "display_name": "gpt-5",
    "input_per_1m": 1.25,
    "output_per_1m": 10.0,
    "cached_input_per_1m": 0.125,
@@ -2340,31 +2358,31 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 135,
-   "provider": "openai",
-   "model_id": "gpt-5.1-chat-latest",
-   "display_name": "gpt-5.1-chat-latest",
+   "id": 1134,
+   "provider": "google",
+   "model_id": "gemini-2.5-pro-preview-tts",
+   "display_name": "gemini-2.5-pro-preview-tts",
    "input_per_1m": 1.25,
    "output_per_1m": 10.0,
    "cached_input_per_1m": 0.125,
-   "context_window": 128000,
-   "max_output_tokens": 16384,
+   "context_window": 1048576,
+   "max_output_tokens": 65535,
    "modalities": "text,image",
-   "supports_tools": false,
+   "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 134,
+   "id": 148,
    "provider": "openai",
-   "model_id": "gpt-5.1-2025-11-13",
-   "display_name": "gpt-5.1-2025-11-13",
+   "model_id": "gpt-5-2025-08-07",
+   "display_name": "gpt-5-2025-08-07",
    "input_per_1m": 1.25,
    "output_per_1m": 10.0,
    "cached_input_per_1m": 0.125,
@@ -2376,103 +2394,103 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 133,
-   "provider": "openai",
-   "model_id": "gpt-5.1",
-   "display_name": "gpt-5.1",
+   "id": 1125,
+   "provider": "google",
+   "model_id": "gemini-2.5-pro",
+   "display_name": "gemini-2.5-pro",
    "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",
+   "context_window": 1048576,
+   "max_output_tokens": 65535,
+   "modalities": "text,image,audio",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 5,
+   "id": 150,
    "provider": "openai",
-   "model_id": "gpt-5",
-   "display_name": "gpt-5",
+   "model_id": "gpt-5-chat-latest",
+   "display_name": "gpt-5-chat-latest",
    "input_per_1m": 1.25,
    "output_per_1m": 10.0,
    "cached_input_per_1m": 0.125,
-   "context_window": 272000,
-   "max_output_tokens": 128000,
+   "context_window": 128000,
+   "max_output_tokens": 16384,
    "modalities": "text,image",
-   "supports_tools": true,
+   "supports_tools": false,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1134,
-   "provider": "google",
-   "model_id": "gemini-2.5-pro-preview-tts",
-   "display_name": "gemini-2.5-pro-preview-tts",
+   "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": 1048576,
-   "max_output_tokens": 65535,
+   "context_window": 272000,
+   "max_output_tokens": 128000,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 279,
-   "provider": "google",
-   "model_id": "gemini-pro-latest",
-   "display_name": "gemini-pro-latest",
+   "id": 135,
+   "provider": "openai",
+   "model_id": "gpt-5.1-chat-latest",
+   "display_name": "gpt-5.1-chat-latest",
    "input_per_1m": 1.25,
    "output_per_1m": 10.0,
    "cached_input_per_1m": 0.125,
-   "context_window": 1048576,
-   "max_output_tokens": 65535,
-   "modalities": "text,image,audio",
-   "supports_tools": true,
+   "context_window": 128000,
+   "max_output_tokens": 16384,
+   "modalities": "text,image",
+   "supports_tools": false,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 264,
-   "provider": "openai",
-   "model_id": "gpt-5-search-api",
-   "display_name": "gpt-5-search-api",
+   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 265,
+   "id": 134,
    "provider": "openai",
-   "model_id": "gpt-5-search-api-2025-10-14",
-   "display_name": "gpt-5-search-api-2025-10-14",
+   "model_id": "gpt-5.1-2025-11-13",
+   "display_name": "gpt-5.1-2025-11-13",
    "input_per_1m": 1.25,
    "output_per_1m": 10.0,
    "cached_input_per_1m": 0.125,
@@ -2484,43 +2502,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+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": 149,
+   "provider": "openai",
+   "model_id": "gpt-5-chat",
+   "display_name": "gpt-5-chat",
    "input_per_1m": 1.25,
    "output_per_1m": 10.0,
-   "cached_input_per_1m": null,
+   "cached_input_per_1m": 0.125,
    "context_window": 128000,
-   "max_output_tokens": 64000,
+   "max_output_tokens": 16384,
    "modalities": "text,image",
-   "supports_tools": true,
-   "supports_vision": true,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 1125,
-   "provider": "google",
-   "model_id": "gemini-2.5-pro",
-   "display_name": "gemini-2.5-pro",
-   "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_tools": false,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1307,
@@ -2538,7 +2538,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1306,
@@ -2556,43 +2556,43 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 150,
+   "id": 264,
    "provider": "openai",
-   "model_id": "gpt-5-chat-latest",
-   "display_name": "gpt-5-chat-latest",
+   "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": 128000,
-   "max_output_tokens": 16384,
+   "context_window": 272000,
+   "max_output_tokens": 128000,
    "modalities": "text,image",
-   "supports_tools": false,
+   "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 149,
-   "provider": "openai",
-   "model_id": "gpt-5-chat",
-   "display_name": "gpt-5-chat",
+   "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": 128000,
-   "max_output_tokens": 16384,
-   "modalities": "text,image",
-   "supports_tools": false,
+   "context_window": 1048576,
+   "max_output_tokens": 65535,
+   "modalities": "text,image,audio",
+   "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+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,
@@ -2628,43 +2628,43 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 137,
+   "id": 139,
    "provider": "openai",
-   "model_id": "gpt-5.2-2025-12-11",
-   "display_name": "gpt-5.2-2025-12-11",
+   "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,
-   "context_window": 272000,
-   "max_output_tokens": 128000,
+   "context_window": 128000,
+   "max_output_tokens": 16384,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 139,
+   "id": 136,
    "provider": "openai",
-   "model_id": "gpt-5.3-chat-latest",
-   "display_name": "gpt-5.3-chat-latest",
+   "model_id": "gpt-5.2",
+   "display_name": "gpt-5.2",
    "input_per_1m": 1.75,
    "output_per_1m": 14.0,
    "cached_input_per_1m": 0.175,
-   "context_window": 128000,
-   "max_output_tokens": 16384,
+   "context_window": 272000,
+   "max_output_tokens": 128000,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 138,
@@ -2682,25 +2682,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 1275,
-   "provider": "xai",
-   "model_id": "grok-2",
-   "display_name": "grok-2",
-   "input_per_1m": 2.0,
-   "output_per_1m": 10.0,
-   "cached_input_per_1m": null,
-   "context_window": 131072,
-   "max_output_tokens": 131072,
-   "modalities": "text",
-   "supports_tools": true,
-   "supports_vision": false,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1232,
@@ -2718,7 +2700,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 1127,
+   "provider": "google",
+   "model_id": "gemini-3-pro-preview",
+   "display_name": "gemini-3-pro-preview",
+   "input_per_1m": 2.0,
+   "output_per_1m": 12.0,
+   "cached_input_per_1m": 0.2,
+   "context_window": 1048576,
+   "max_output_tokens": 65535,
+   "modalities": "text,image,audio",
+   "supports_tools": true,
+   "supports_vision": true,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1234,
@@ -2736,7 +2736,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1235,
@@ -2754,7 +2754,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 1133,
+   "provider": "google",
+   "model_id": "gemini-3.1-pro-preview-customtools",
+   "display_name": "gemini-3.1-pro-preview-customtools",
+   "input_per_1m": 2.0,
+   "output_per_1m": 12.0,
+   "cached_input_per_1m": 0.2,
+   "context_window": 1048576,
+   "max_output_tokens": 65536,
+   "modalities": "text,image,audio",
+   "supports_tools": true,
+   "supports_vision": true,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1276,
@@ -2772,151 +2790,169 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1266,
-   "provider": "mistral",
-   "model_id": "pixtral-large-latest",
-   "display_name": "pixtral-large-latest",
+   "id": 1132,
+   "provider": "google",
+   "model_id": "gemini-3.1-pro-preview",
+   "display_name": "gemini-3.1-pro-preview",
    "input_per_1m": 2.0,
-   "output_per_1m": 6.0,
-   "cached_input_per_1m": null,
-   "context_window": 128000,
-   "max_output_tokens": 128000,
-   "modalities": "text,image",
+   "output_per_1m": 12.0,
+   "cached_input_per_1m": 0.2,
+   "context_window": 1048576,
+   "max_output_tokens": 65536,
+   "modalities": "text,image,audio",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 100,
-   "provider": "openai",
-   "model_id": "gpt-4.1",
-   "display_name": "gpt-4.1",
+   "id": 1304,
+   "provider": "xai",
+   "model_id": "grok-4.20-0309-reasoning",
+   "display_name": "grok-4.20-0309-reasoning",
    "input_per_1m": 2.0,
-   "output_per_1m": 8.0,
-   "cached_input_per_1m": 0.5,
-   "context_window": 1047576,
-   "max_output_tokens": 32768,
+   "output_per_1m": 6.0,
+   "cached_input_per_1m": 0.2,
+   "context_window": 2000000,
+   "max_output_tokens": 2000000,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 101,
-   "provider": "openai",
-   "model_id": "gpt-4.1-2025-04-14",
-   "display_name": "gpt-4.1-2025-04-14",
-   "input_per_1m": 2.0,
-   "output_per_1m": 8.0,
-   "cached_input_per_1m": 0.5,
-   "context_window": 1047576,
-   "max_output_tokens": 32768,
+   "id": 1266,
+   "provider": "mistral",
+   "model_id": "pixtral-large-latest",
+   "display_name": "pixtral-large-latest",
+   "input_per_1m": 2.0,
+   "output_per_1m": 6.0,
+   "cached_input_per_1m": null,
+   "context_window": 128000,
+   "max_output_tokens": 128000,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1303,
+   "id": 1275,
    "provider": "xai",
-   "model_id": "grok-4.20-beta-0309-reasoning",
-   "display_name": "grok-4.20-beta-0309-reasoning",
+   "model_id": "grok-2",
+   "display_name": "grok-2",
    "input_per_1m": 2.0,
-   "output_per_1m": 6.0,
-   "cached_input_per_1m": 0.2,
-   "context_window": 2000000,
-   "max_output_tokens": 2000000,
+   "output_per_1m": 10.0,
+   "cached_input_per_1m": null,
+   "context_window": 131072,
+   "max_output_tokens": 131072,
+   "modalities": "text",
+   "supports_tools": true,
+   "supports_vision": false,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 100,
+   "provider": "openai",
+   "model_id": "gpt-4.1",
+   "display_name": "gpt-4.1",
+   "input_per_1m": 2.0,
+   "output_per_1m": 8.0,
+   "cached_input_per_1m": 0.5,
+   "context_window": 1047576,
+   "max_output_tokens": 32768,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1304,
-   "provider": "xai",
-   "model_id": "grok-4.20-0309-reasoning",
-   "display_name": "grok-4.20-0309-reasoning",
+   "id": 101,
+   "provider": "openai",
+   "model_id": "gpt-4.1-2025-04-14",
+   "display_name": "gpt-4.1-2025-04-14",
    "input_per_1m": 2.0,
-   "output_per_1m": 6.0,
-   "cached_input_per_1m": 0.2,
-   "context_window": 2000000,
-   "max_output_tokens": 2000000,
+   "output_per_1m": 8.0,
+   "cached_input_per_1m": 0.5,
+   "context_window": 1047576,
+   "max_output_tokens": 32768,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1133,
-   "provider": "google",
-   "model_id": "gemini-3.1-pro-preview-customtools",
-   "display_name": "gemini-3.1-pro-preview-customtools",
+   "id": 1241,
+   "provider": "mistral",
+   "model_id": "mistral-large-2411",
+   "display_name": "mistral-large-2411",
    "input_per_1m": 2.0,
-   "output_per_1m": 12.0,
-   "cached_input_per_1m": 0.2,
-   "context_window": 1048576,
-   "max_output_tokens": 65536,
-   "modalities": "text,image,audio",
+   "output_per_1m": 6.0,
+   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1132,
-   "provider": "google",
-   "model_id": "gemini-3.1-pro-preview",
-   "display_name": "gemini-3.1-pro-preview",
+   "id": 1303,
+   "provider": "xai",
+   "model_id": "grok-4.20-beta-0309-reasoning",
+   "display_name": "grok-4.20-beta-0309-reasoning",
    "input_per_1m": 2.0,
-   "output_per_1m": 12.0,
+   "output_per_1m": 6.0,
    "cached_input_per_1m": 0.2,
-   "context_window": 1048576,
-   "max_output_tokens": 65536,
-   "modalities": "text,image,audio",
+   "context_window": 2000000,
+   "max_output_tokens": 2000000,
+   "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1241,
+   "id": 1233,
    "provider": "mistral",
-   "model_id": "mistral-large-2411",
-   "display_name": "mistral-large-2411",
+   "model_id": "magistral-medium-2509",
+   "display_name": "magistral-medium-2509",
    "input_per_1m": 2.0,
-   "output_per_1m": 6.0,
+   "output_per_1m": 5.0,
    "cached_input_per_1m": null,
-   "context_window": 128000,
-   "max_output_tokens": 128000,
+   "context_window": 40000,
+   "max_output_tokens": 40000,
    "modalities": "text",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1262,
@@ -2934,7 +2970,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1265,
@@ -2952,7 +2988,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1305,
@@ -2970,43 +3006,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 1233,
-   "provider": "mistral",
-   "model_id": "magistral-medium-2509",
-   "display_name": "magistral-medium-2509",
-   "input_per_1m": 2.0,
-   "output_per_1m": 5.0,
-   "cached_input_per_1m": null,
-   "context_window": 40000,
-   "max_output_tokens": 40000,
-   "modalities": "text",
-   "supports_tools": true,
-   "supports_vision": false,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1277,
@@ -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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1278,
@@ -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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1279,
@@ -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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1280,
@@ -3078,7 +3078,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+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": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 220,
@@ -3096,7 +3114,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 221,
@@ -3114,25 +3132,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1127,
-   "provider": "google",
-   "model_id": "gemini-3-pro-preview",
-   "display_name": "gemini-3-pro-preview",
-   "input_per_1m": 2.0,
-   "output_per_1m": 12.0,
-   "cached_input_per_1m": 0.2,
-   "context_window": 1048576,
-   "max_output_tokens": 65535,
-   "modalities": "text,image,audio",
+   "id": 111,
+   "provider": "openai",
+   "model_id": "gpt-4o-audio-preview-2024-12-17",
+   "display_name": "gpt-4o-audio-preview-2024-12-17",
+   "input_per_1m": 2.5,
+   "output_per_1m": 10.0,
+   "cached_input_per_1m": null,
+   "context_window": 128000,
+   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 115,
@@ -3150,7 +3168,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 114,
@@ -3168,49 +3186,31 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 113,
+   "id": 6,
    "provider": "openai",
-   "model_id": "gpt-audio",
-   "display_name": "gpt-audio",
+   "model_id": "gpt-4o",
+   "display_name": "gpt-4o",
    "input_per_1m": 2.5,
    "output_per_1m": 10.0,
-   "cached_input_per_1m": null,
+   "cached_input_per_1m": 1.25,
    "context_window": 128000,
    "max_output_tokens": 16384,
-   "modalities": "text,audio",
-   "supports_tools": true,
-   "supports_vision": false,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 143,
-   "provider": "openai",
-   "model_id": "gpt-5.4-2026-03-05",
-   "display_name": "gpt-5.4-2026-03-05",
-   "input_per_1m": 2.5,
-   "output_per_1m": 15.0,
-   "cached_input_per_1m": 0.25,
-   "context_window": 1050000,
-   "max_output_tokens": 128000,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 109,
+   "id": 130,
    "provider": "openai",
-   "model_id": "gpt-4o-2024-11-20",
-   "display_name": "gpt-4o-2024-11-20",
+   "model_id": "gpt-4o-search-preview",
+   "display_name": "gpt-4o-search-preview",
    "input_per_1m": 2.5,
    "output_per_1m": 10.0,
    "cached_input_per_1m": 1.25,
@@ -3222,13 +3222,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 6,
+   "id": 131,
    "provider": "openai",
-   "model_id": "gpt-4o",
-   "display_name": "gpt-4o",
+   "model_id": "gpt-4o-search-preview-2025-03-11",
+   "display_name": "gpt-4o-search-preview-2025-03-11",
    "input_per_1m": 2.5,
    "output_per_1m": 10.0,
    "cached_input_per_1m": 1.25,
@@ -3240,25 +3240,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 108,
+   "id": 143,
    "provider": "openai",
-   "model_id": "gpt-4o-2024-08-06",
-   "display_name": "gpt-4o-2024-08-06",
+   "model_id": "gpt-5.4-2026-03-05",
+   "display_name": "gpt-5.4-2026-03-05",
    "input_per_1m": 2.5,
-   "output_per_1m": 10.0,
-   "cached_input_per_1m": 1.25,
-   "context_window": 128000,
-   "max_output_tokens": 16384,
+   "output_per_1m": 15.0,
+   "cached_input_per_1m": 0.25,
+   "context_window": 1050000,
+   "max_output_tokens": 128000,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 2,
@@ -3276,31 +3276,31 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 112,
+   "id": 109,
    "provider": "openai",
-   "model_id": "gpt-4o-audio-preview-2025-06-03",
-   "display_name": "gpt-4o-audio-preview-2025-06-03",
+   "model_id": "gpt-4o-2024-11-20",
+   "display_name": "gpt-4o-2024-11-20",
    "input_per_1m": 2.5,
    "output_per_1m": 10.0,
-   "cached_input_per_1m": null,
+   "cached_input_per_1m": 1.25,
    "context_window": 128000,
    "max_output_tokens": 16384,
-   "modalities": "text,audio",
+   "modalities": "text,image",
    "supports_tools": true,
-   "supports_vision": false,
+   "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 111,
+   "id": 110,
    "provider": "openai",
-   "model_id": "gpt-4o-audio-preview-2024-12-17",
-   "display_name": "gpt-4o-audio-preview-2024-12-17",
+   "model_id": "gpt-4o-audio-preview",
+   "display_name": "gpt-4o-audio-preview",
    "input_per_1m": 2.5,
    "output_per_1m": 10.0,
    "cached_input_per_1m": null,
@@ -3312,13 +3312,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 131,
+   "id": 108,
    "provider": "openai",
-   "model_id": "gpt-4o-search-preview-2025-03-11",
-   "display_name": "gpt-4o-search-preview-2025-03-11",
+   "model_id": "gpt-4o-2024-08-06",
+   "display_name": "gpt-4o-2024-08-06",
    "input_per_1m": 2.5,
    "output_per_1m": 10.0,
    "cached_input_per_1m": 1.25,
@@ -3330,31 +3330,31 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 130,
+   "id": 113,
    "provider": "openai",
-   "model_id": "gpt-4o-search-preview",
-   "display_name": "gpt-4o-search-preview",
+   "model_id": "gpt-audio",
+   "display_name": "gpt-audio",
    "input_per_1m": 2.5,
    "output_per_1m": 10.0,
-   "cached_input_per_1m": 1.25,
+   "cached_input_per_1m": null,
    "context_window": 128000,
    "max_output_tokens": 16384,
-   "modalities": "text,image",
+   "modalities": "text,audio",
    "supports_tools": true,
-   "supports_vision": true,
+   "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 110,
+   "id": 112,
    "provider": "openai",
-   "model_id": "gpt-4o-audio-preview",
-   "display_name": "gpt-4o-audio-preview",
+   "model_id": "gpt-4o-audio-preview-2025-06-03",
+   "display_name": "gpt-4o-audio-preview-2025-06-03",
    "input_per_1m": 2.5,
    "output_per_1m": 10.0,
    "cached_input_per_1m": null,
@@ -3366,13 +3366,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1245,
+   "id": 1246,
    "provider": "mistral",
-   "model_id": "mistral-medium",
-   "display_name": "mistral-medium",
+   "model_id": "mistral-medium-2312",
+   "display_name": "mistral-medium-2312",
    "input_per_1m": 2.7,
    "output_per_1m": 8.1,
    "cached_input_per_1m": null,
@@ -3384,13 +3384,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1246,
+   "id": 1245,
    "provider": "mistral",
-   "model_id": "mistral-medium-2312",
-   "display_name": "mistral-medium-2312",
+   "model_id": "mistral-medium",
+   "display_name": "mistral-medium",
    "input_per_1m": 2.7,
    "output_per_1m": 8.1,
    "cached_input_per_1m": null,
@@ -3402,121 +3402,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 20,
-   "provider": "anthropic",
-   "model_id": "claude-3-7-sonnet-20250219",
-   "display_name": "claude-3-7-sonnet-20250219",
-   "input_per_1m": 3.0,
-   "output_per_1m": 15.0,
-   "cached_input_per_1m": 0.3,
-   "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": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 1240,
-   "provider": "mistral",
-   "model_id": "mistral-large-2407",
-   "display_name": "mistral-large-2407",
-   "input_per_1m": 3.0,
-   "output_per_1m": 9.0,
-   "cached_input_per_1m": null,
-   "context_window": 128000,
-   "max_output_tokens": 128000,
-   "modalities": "text",
-   "supports_tools": true,
-   "supports_vision": false,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 1282,
-   "provider": "xai",
-   "model_id": "grok-3-beta",
-   "display_name": "grok-3-beta",
-   "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": "2026-05-31T23:43:48.864234+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": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 55,
-   "provider": "openai",
-   "model_id": "ft:gpt-4.1-2025-04-14",
-   "display_name": "ft:gpt-4.1-2025-04-14",
-   "input_per_1m": 3.0,
-   "output_per_1m": 12.0,
-   "cached_input_per_1m": 0.75,
-   "context_window": 1047576,
-   "max_output_tokens": 32768,
-   "modalities": "text",
-   "supports_tools": true,
-   "supports_vision": false,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 1281,
-   "provider": "xai",
-   "model_id": "grok-3",
-   "display_name": "grok-3",
-   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 50,
+   "id": 47,
    "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",
+   "display_name": "ft:gpt-3.5-turbo",
    "input_per_1m": 3.0,
    "output_per_1m": 6.0,
    "cached_input_per_1m": null,
@@ -3528,31 +3420,31 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 49,
-   "provider": "openai",
-   "model_id": "ft:gpt-3.5-turbo-0613",
-   "display_name": "ft:gpt-3.5-turbo-0613",
+   "id": 1295,
+   "provider": "xai",
+   "model_id": "grok-4-0709",
+   "display_name": "grok-4-0709",
    "input_per_1m": 3.0,
-   "output_per_1m": 6.0,
+   "output_per_1m": 15.0,
    "cached_input_per_1m": null,
-   "context_window": 4096,
-   "max_output_tokens": 4096,
+   "context_window": 256000,
+   "max_output_tokens": 256000,
    "modalities": "text",
-   "supports_tools": false,
+   "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1292,
+   "id": 1296,
    "provider": "xai",
-   "model_id": "grok-4",
-   "display_name": "grok-4",
+   "model_id": "grok-4-latest",
+   "display_name": "grok-4-latest",
    "input_per_1m": 3.0,
    "output_per_1m": 15.0,
    "cached_input_per_1m": null,
@@ -3564,7 +3456,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 48,
@@ -3582,71 +3474,71 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 47,
-   "provider": "openai",
-   "model_id": "ft:gpt-3.5-turbo",
-   "display_name": "ft:gpt-3.5-turbo",
+   "id": 1292,
+   "provider": "xai",
+   "model_id": "grok-4",
+   "display_name": "grok-4",
    "input_per_1m": 3.0,
-   "output_per_1m": 6.0,
+   "output_per_1m": 15.0,
    "cached_input_per_1m": null,
-   "context_window": 16385,
-   "max_output_tokens": 4096,
+   "context_window": 256000,
+   "max_output_tokens": 256000,
    "modalities": "text",
-   "supports_tools": false,
+   "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1295,
+   "id": 1281,
    "provider": "xai",
-   "model_id": "grok-4-0709",
-   "display_name": "grok-4-0709",
+   "model_id": "grok-3",
+   "display_name": "grok-3",
    "input_per_1m": 3.0,
    "output_per_1m": 15.0,
-   "cached_input_per_1m": null,
-   "context_window": 256000,
-   "max_output_tokens": 256000,
+   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1296,
+   "id": 1282,
    "provider": "xai",
-   "model_id": "grok-4-latest",
-   "display_name": "grok-4-latest",
+   "model_id": "grok-3-beta",
+   "display_name": "grok-3-beta",
    "input_per_1m": 3.0,
    "output_per_1m": 15.0,
-   "cached_input_per_1m": null,
-   "context_window": 256000,
-   "max_output_tokens": 256000,
+   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 8,
+   "id": 20,
    "provider": "anthropic",
-   "model_id": "claude-sonnet-4-6",
-   "display_name": "claude-sonnet-4-6",
+   "model_id": "claude-3-7-sonnet-20250219",
+   "display_name": "claude-3-7-sonnet-20250219",
    "input_per_1m": 3.0,
    "output_per_1m": 15.0,
    "cached_input_per_1m": 0.3,
-   "context_window": 1000000,
+   "context_window": 200000,
    "max_output_tokens": 64000,
    "modalities": "text,image",
    "supports_tools": true,
@@ -3654,17 +3546,17 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 26,
+   "id": 24,
    "provider": "anthropic",
-   "model_id": "claude-sonnet-4-5-20250929",
-   "display_name": "claude-sonnet-4-5-20250929",
+   "model_id": "claude-4-sonnet-20250514",
+   "display_name": "claude-4-sonnet-20250514",
    "input_per_1m": 3.0,
    "output_per_1m": 15.0,
    "cached_input_per_1m": 0.3,
-   "context_window": 200000,
+   "context_window": 1000000,
    "max_output_tokens": 64000,
    "modalities": "text,image",
    "supports_tools": true,
@@ -3672,25 +3564,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 38,
-   "provider": "anthropic",
-   "model_id": "claude-sonnet-4-20250514",
-   "display_name": "claude-sonnet-4-20250514",
+   "id": 1285,
+   "provider": "xai",
+   "model_id": "grok-3-latest",
+   "display_name": "grok-3-latest",
    "input_per_1m": 3.0,
    "output_per_1m": 15.0,
-   "cached_input_per_1m": 0.3,
-   "context_window": 1000000,
-   "max_output_tokens": 64000,
-   "modalities": "text,image",
+   "cached_input_per_1m": 0.75,
+   "context_window": 131072,
+   "max_output_tokens": 131072,
+   "modalities": "text",
    "supports_tools": true,
-   "supports_vision": true,
+   "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 25,
@@ -3708,13 +3600,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 24,
+   "id": 38,
    "provider": "anthropic",
-   "model_id": "claude-4-sonnet-20250514",
-   "display_name": "claude-4-sonnet-20250514",
+   "model_id": "claude-sonnet-4-20250514",
+   "display_name": "claude-sonnet-4-20250514",
    "input_per_1m": 3.0,
    "output_per_1m": 15.0,
    "cached_input_per_1m": 0.3,
@@ -3726,15 +3618,15 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 91,
+   "id": 50,
    "provider": "openai",
-   "model_id": "gpt-3.5-turbo-16k",
-   "display_name": "gpt-3.5-turbo-16k",
+   "model_id": "ft:gpt-3.5-turbo-1106",
+   "display_name": "ft:gpt-3.5-turbo-1106",
    "input_per_1m": 3.0,
-   "output_per_1m": 4.0,
+   "output_per_1m": 6.0,
    "cached_input_per_1m": null,
    "context_window": 16385,
    "max_output_tokens": 4096,
@@ -3744,61 +3636,151 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 53,
+   "id": 49,
    "provider": "openai",
-   "model_id": "ft:gpt-4o-2024-11-20",
-   "display_name": "ft:gpt-4o-2024-11-20",
-   "input_per_1m": 3.75,
-   "output_per_1m": 15.0,
+   "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": 4096,
+   "max_output_tokens": 4096,
+   "modalities": "text",
+   "supports_tools": false,
+   "supports_vision": false,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 91,
+   "provider": "openai",
+   "model_id": "gpt-3.5-turbo-16k",
+   "display_name": "gpt-3.5-turbo-16k",
+   "input_per_1m": 3.0,
+   "output_per_1m": 4.0,
+   "cached_input_per_1m": null,
+   "context_window": 16385,
+   "max_output_tokens": 4096,
+   "modalities": "text",
+   "supports_tools": false,
+   "supports_vision": false,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 1240,
+   "provider": "mistral",
+   "model_id": "mistral-large-2407",
+   "display_name": "mistral-large-2407",
+   "input_per_1m": 3.0,
+   "output_per_1m": 9.0,
    "cached_input_per_1m": null,
    "context_window": 128000,
-   "max_output_tokens": 16384,
+   "max_output_tokens": 128000,
    "modalities": "text",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 52,
+   "id": 26,
+   "provider": "anthropic",
+   "model_id": "claude-sonnet-4-5-20250929",
+   "display_name": "claude-sonnet-4-5-20250929",
+   "input_per_1m": 3.0,
+   "output_per_1m": 15.0,
+   "cached_input_per_1m": 0.3,
+   "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": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 8,
+   "provider": "anthropic",
+   "model_id": "claude-sonnet-4-6",
+   "display_name": "claude-sonnet-4-6",
+   "input_per_1m": 3.0,
+   "output_per_1m": 15.0,
+   "cached_input_per_1m": 0.3,
+   "context_window": 1000000,
+   "max_output_tokens": 64000,
+   "modalities": "text,image",
+   "supports_tools": true,
+   "supports_vision": true,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 55,
    "provider": "openai",
-   "model_id": "ft:gpt-4o-2024-08-06",
-   "display_name": "ft:gpt-4o-2024-08-06",
+   "model_id": "ft:gpt-4.1-2025-04-14",
+   "display_name": "ft:gpt-4.1-2025-04-14",
+   "input_per_1m": 3.0,
+   "output_per_1m": 12.0,
+   "cached_input_per_1m": 0.75,
+   "context_window": 1047576,
+   "max_output_tokens": 32768,
+   "modalities": "text",
+   "supports_tools": true,
+   "supports_vision": false,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 53,
+   "provider": "openai",
+   "model_id": "ft:gpt-4o-2024-11-20",
+   "display_name": "ft:gpt-4o-2024-11-20",
    "input_per_1m": 3.75,
    "output_per_1m": 15.0,
-   "cached_input_per_1m": 1.875,
+   "cached_input_per_1m": null,
    "context_window": 128000,
    "max_output_tokens": 16384,
-   "modalities": "text,image",
+   "modalities": "text",
    "supports_tools": true,
-   "supports_vision": true,
+   "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 159,
+   "id": 52,
    "provider": "openai",
-   "model_id": "gpt-realtime-2025-08-28",
-   "display_name": "gpt-realtime-2025-08-28",
-   "input_per_1m": 4.0,
-   "output_per_1m": 16.0,
-   "cached_input_per_1m": 0.4,
-   "context_window": 32000,
-   "max_output_tokens": 4096,
-   "modalities": "text,audio",
+   "model_id": "ft:gpt-4o-2024-08-06",
+   "display_name": "ft:gpt-4o-2024-08-06",
+   "input_per_1m": 3.75,
+   "output_per_1m": 15.0,
+   "cached_input_per_1m": 1.875,
+   "context_window": 128000,
+   "max_output_tokens": 16384,
+   "modalities": "text,image",
    "supports_tools": true,
-   "supports_vision": false,
+   "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 155,
@@ -3816,13 +3798,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 157,
+   "id": 156,
    "provider": "openai",
-   "model_id": "gpt-realtime-2",
-   "display_name": "gpt-realtime-2",
+   "model_id": "gpt-realtime-1.5",
+   "display_name": "gpt-realtime-1.5",
    "input_per_1m": 4.0,
    "output_per_1m": 16.0,
    "cached_input_per_1m": 0.4,
@@ -3834,25 +3816,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 156,
+   "id": 58,
    "provider": "openai",
-   "model_id": "gpt-realtime-1.5",
-   "display_name": "gpt-realtime-1.5",
+   "model_id": "ft:o4-mini-2025-04-16",
+   "display_name": "ft:o4-mini-2025-04-16",
    "input_per_1m": 4.0,
    "output_per_1m": 16.0,
-   "cached_input_per_1m": 0.4,
-   "context_window": 32000,
-   "max_output_tokens": 4096,
-   "modalities": "text,audio",
+   "cached_input_per_1m": 1.0,
+   "context_window": 200000,
+   "max_output_tokens": 100000,
+   "modalities": "text",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1239,
@@ -3870,53 +3852,53 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 58,
+   "id": 159,
    "provider": "openai",
-   "model_id": "ft:o4-mini-2025-04-16",
-   "display_name": "ft:o4-mini-2025-04-16",
+   "model_id": "gpt-realtime-2025-08-28",
+   "display_name": "gpt-realtime-2025-08-28",
    "input_per_1m": 4.0,
    "output_per_1m": 16.0,
-   "cached_input_per_1m": 1.0,
-   "context_window": 200000,
-   "max_output_tokens": 100000,
-   "modalities": "text",
+   "cached_input_per_1m": 0.4,
+   "context_window": 32000,
+   "max_output_tokens": 4096,
+   "modalities": "text,audio",
    "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 107,
+   "id": 157,
    "provider": "openai",
-   "model_id": "gpt-4o-2024-05-13",
-   "display_name": "gpt-4o-2024-05-13",
-   "input_per_1m": 5.0,
-   "output_per_1m": 15.0,
-   "cached_input_per_1m": null,
-   "context_window": 128000,
+   "model_id": "gpt-realtime-2",
+   "display_name": "gpt-realtime-2",
+   "input_per_1m": 4.0,
+   "output_per_1m": 16.0,
+   "cached_input_per_1m": 0.4,
+   "context_window": 32000,
    "max_output_tokens": 4096,
-   "modalities": "text,image",
+   "modalities": "text,audio",
    "supports_tools": true,
-   "supports_vision": true,
+   "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 141,
-   "provider": "openai",
-   "model_id": "gpt-5.5-2026-04-23",
-   "display_name": "gpt-5.5-2026-04-23",
+   "id": 33,
+   "provider": "anthropic",
+   "model_id": "claude-opus-4-6",
+   "display_name": "claude-opus-4-6",
    "input_per_1m": 5.0,
-   "output_per_1m": 30.0,
+   "output_per_1m": 25.0,
    "cached_input_per_1m": 0.5,
-   "context_window": 1050000,
+   "context_window": 1000000,
    "max_output_tokens": 128000,
    "modalities": "text,image",
    "supports_tools": true,
@@ -3924,25 +3906,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1,
-   "provider": "openai",
-   "model_id": "gpt-5.5",
-   "display_name": "gpt-5.5",
+   "id": 1312,
+   "provider": "xai",
+   "model_id": "grok-vision-beta",
+   "display_name": "grok-vision-beta",
    "input_per_1m": 5.0,
-   "output_per_1m": 30.0,
-   "cached_input_per_1m": 0.5,
-   "context_window": 1050000,
-   "max_output_tokens": 128000,
+   "output_per_1m": 15.0,
+   "cached_input_per_1m": null,
+   "context_window": 8192,
+   "max_output_tokens": 8192,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 1308,
@@ -3960,31 +3942,31 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 17,
-   "provider": "openai",
-   "model_id": "chatgpt-4o-latest",
-   "display_name": "chatgpt-4o-latest",
+   "id": 34,
+   "provider": "anthropic",
+   "model_id": "claude-opus-4-6-20260205",
+   "display_name": "claude-opus-4-6-20260205",
    "input_per_1m": 5.0,
-   "output_per_1m": 15.0,
-   "cached_input_per_1m": null,
-   "context_window": 128000,
-   "max_output_tokens": 4096,
+   "output_per_1m": 25.0,
+   "cached_input_per_1m": 0.5,
+   "context_window": 1000000,
+   "max_output_tokens": 128000,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 128,
+   "id": 127,
    "provider": "openai",
-   "model_id": "gpt-4o-realtime-preview-2024-12-17",
-   "display_name": "gpt-4o-realtime-preview-2024-12-17",
+   "model_id": "gpt-4o-realtime-preview",
+   "display_name": "gpt-4o-realtime-preview",
    "input_per_1m": 5.0,
    "output_per_1m": 20.0,
    "cached_input_per_1m": 2.5,
@@ -3996,31 +3978,31 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1312,
-   "provider": "xai",
-   "model_id": "grok-vision-beta",
-   "display_name": "grok-vision-beta",
+   "id": 36,
+   "provider": "anthropic",
+   "model_id": "claude-opus-4-7-20260416",
+   "display_name": "claude-opus-4-7-20260416",
    "input_per_1m": 5.0,
-   "output_per_1m": 15.0,
-   "cached_input_per_1m": null,
-   "context_window": 8192,
-   "max_output_tokens": 8192,
+   "output_per_1m": 25.0,
+   "cached_input_per_1m": 0.5,
+   "context_window": 1000000,
+   "max_output_tokens": 128000,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 7,
+   "id": 37,
    "provider": "anthropic",
-   "model_id": "claude-opus-4-7",
-   "display_name": "claude-opus-4-7",
+   "model_id": "claude-opus-4-8",
+   "display_name": "claude-opus-4-8",
    "input_per_1m": 5.0,
    "output_per_1m": 25.0,
    "cached_input_per_1m": 0.5,
@@ -4032,43 +4014,61 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 36,
+   "id": 31,
    "provider": "anthropic",
-   "model_id": "claude-opus-4-7-20260416",
-   "display_name": "claude-opus-4-7-20260416",
+   "model_id": "claude-opus-4-5-20251101",
+   "display_name": "claude-opus-4-5-20251101",
    "input_per_1m": 5.0,
    "output_per_1m": 25.0,
    "cached_input_per_1m": 0.5,
-   "context_window": 1000000,
-   "max_output_tokens": 128000,
+   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 37,
-   "provider": "anthropic",
-   "model_id": "claude-opus-4-8",
-   "display_name": "claude-opus-4-8",
+   "id": 1284,
+   "provider": "xai",
+   "model_id": "grok-3-fast-latest",
+   "display_name": "grok-3-fast-latest",
    "input_per_1m": 5.0,
    "output_per_1m": 25.0,
-   "cached_input_per_1m": 0.5,
-   "context_window": 1000000,
-   "max_output_tokens": 128000,
-   "modalities": "text,image",
+   "cached_input_per_1m": 1.25,
+   "context_window": 131072,
+   "max_output_tokens": 131072,
+   "modalities": "text",
    "supports_tools": true,
-   "supports_vision": true,
+   "supports_vision": false,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 128,
+   "provider": "openai",
+   "model_id": "gpt-4o-realtime-preview-2024-12-17",
+   "display_name": "gpt-4o-realtime-preview-2024-12-17",
+   "input_per_1m": 5.0,
+   "output_per_1m": 20.0,
+   "cached_input_per_1m": 2.5,
+   "context_window": 128000,
+   "max_output_tokens": 4096,
+   "modalities": "text,audio",
+   "supports_tools": true,
+   "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 129,
@@ -4086,13 +4086,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 33,
+   "id": 7,
    "provider": "anthropic",
-   "model_id": "claude-opus-4-6",
-   "display_name": "claude-opus-4-6",
+   "model_id": "claude-opus-4-7",
+   "display_name": "claude-opus-4-7",
    "input_per_1m": 5.0,
    "output_per_1m": 25.0,
    "cached_input_per_1m": 0.5,
@@ -4104,13 +4104,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1284,
+   "id": 1283,
    "provider": "xai",
-   "model_id": "grok-3-fast-latest",
-   "display_name": "grok-3-fast-latest",
+   "model_id": "grok-3-fast-beta",
+   "display_name": "grok-3-fast-beta",
    "input_per_1m": 5.0,
    "output_per_1m": 25.0,
    "cached_input_per_1m": 1.25,
@@ -4122,103 +4122,103 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 1283,
-   "provider": "xai",
-   "model_id": "grok-3-fast-beta",
-   "display_name": "grok-3-fast-beta",
+   "id": 1,
+   "provider": "openai",
+   "model_id": "gpt-5.5",
+   "display_name": "gpt-5.5",
    "input_per_1m": 5.0,
-   "output_per_1m": 25.0,
-   "cached_input_per_1m": 1.25,
-   "context_window": 131072,
-   "max_output_tokens": 131072,
-   "modalities": "text",
+   "output_per_1m": 30.0,
+   "cached_input_per_1m": 0.5,
+   "context_window": 1050000,
+   "max_output_tokens": 128000,
+   "modalities": "text,image",
    "supports_tools": true,
-   "supports_vision": false,
+   "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 127,
+   "id": 107,
    "provider": "openai",
-   "model_id": "gpt-4o-realtime-preview",
-   "display_name": "gpt-4o-realtime-preview",
+   "model_id": "gpt-4o-2024-05-13",
+   "display_name": "gpt-4o-2024-05-13",
    "input_per_1m": 5.0,
-   "output_per_1m": 20.0,
-   "cached_input_per_1m": 2.5,
+   "output_per_1m": 15.0,
+   "cached_input_per_1m": null,
    "context_window": 128000,
    "max_output_tokens": 4096,
-   "modalities": "text,audio",
+   "modalities": "text,image",
    "supports_tools": true,
-   "supports_vision": false,
+   "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 34,
+   "id": 32,
    "provider": "anthropic",
-   "model_id": "claude-opus-4-6-20260205",
-   "display_name": "claude-opus-4-6-20260205",
+   "model_id": "claude-opus-4-5",
+   "display_name": "claude-opus-4-5",
    "input_per_1m": 5.0,
    "output_per_1m": 25.0,
    "cached_input_per_1m": 0.5,
-   "context_window": 1000000,
-   "max_output_tokens": 128000,
+   "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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 32,
-   "provider": "anthropic",
-   "model_id": "claude-opus-4-5",
-   "display_name": "claude-opus-4-5",
+   "id": 17,
+   "provider": "openai",
+   "model_id": "chatgpt-4o-latest",
+   "display_name": "chatgpt-4o-latest",
    "input_per_1m": 5.0,
-   "output_per_1m": 25.0,
-   "cached_input_per_1m": 0.5,
-   "context_window": 200000,
-   "max_output_tokens": 64000,
+   "output_per_1m": 15.0,
+   "cached_input_per_1m": null,
+   "context_window": 128000,
+   "max_output_tokens": 4096,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 31,
-   "provider": "anthropic",
-   "model_id": "claude-opus-4-5-20251101",
-   "display_name": "claude-opus-4-5-20251101",
+   "id": 141,
+   "provider": "openai",
+   "model_id": "gpt-5.5-2026-04-23",
+   "display_name": "gpt-5.5-2026-04-23",
    "input_per_1m": 5.0,
-   "output_per_1m": 25.0,
+   "output_per_1m": 30.0,
    "cached_input_per_1m": 0.5,
-   "context_window": 200000,
-   "max_output_tokens": 64000,
+   "context_window": 1050000,
+   "max_output_tokens": 128000,
    "modalities": "text,image",
    "supports_tools": true,
    "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 97,
+   "id": 98,
    "provider": "openai",
-   "model_id": "gpt-4-turbo",
-   "display_name": "gpt-4-turbo",
+   "model_id": "gpt-4-turbo-2024-04-09",
+   "display_name": "gpt-4-turbo-2024-04-09",
    "input_per_1m": 10.0,
    "output_per_1m": 30.0,
    "cached_input_per_1m": null,
@@ -4230,13 +4230,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 99,
+   "id": 93,
    "provider": "openai",
-   "model_id": "gpt-4-turbo-preview",
-   "display_name": "gpt-4-turbo-preview",
+   "model_id": "gpt-4-0125-preview",
+   "display_name": "gpt-4-0125-preview",
    "input_per_1m": 10.0,
    "output_per_1m": 30.0,
    "cached_input_per_1m": null,
@@ -4248,31 +4248,31 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 98,
+   "id": 99,
    "provider": "openai",
-   "model_id": "gpt-4-turbo-2024-04-09",
-   "display_name": "gpt-4-turbo-2024-04-09",
+   "model_id": "gpt-4-turbo-preview",
+   "display_name": "gpt-4-turbo-preview",
    "input_per_1m": 10.0,
    "output_per_1m": 30.0,
    "cached_input_per_1m": null,
    "context_window": 128000,
    "max_output_tokens": 4096,
-   "modalities": "text,image",
+   "modalities": "text",
    "supports_tools": true,
-   "supports_vision": true,
+   "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 93,
+   "id": 96,
    "provider": "openai",
-   "model_id": "gpt-4-0125-preview",
-   "display_name": "gpt-4-0125-preview",
+   "model_id": "gpt-4-1106-preview",
+   "display_name": "gpt-4-1106-preview",
    "input_per_1m": 10.0,
    "output_per_1m": 30.0,
    "cached_input_per_1m": null,
@@ -4284,31 +4284,31 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 96,
+   "id": 97,
    "provider": "openai",
-   "model_id": "gpt-4-1106-preview",
-   "display_name": "gpt-4-1106-preview",
+   "model_id": "gpt-4-turbo",
+   "display_name": "gpt-4-turbo",
    "input_per_1m": 10.0,
    "output_per_1m": 30.0,
    "cached_input_per_1m": null,
    "context_window": 128000,
    "max_output_tokens": 4096,
-   "modalities": "text",
+   "modalities": "text,image",
    "supports_tools": true,
-   "supports_vision": false,
+   "supports_vision": true,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 28,
+   "id": 23,
    "provider": "anthropic",
-   "model_id": "claude-opus-4-1",
-   "display_name": "claude-opus-4-1",
+   "model_id": "claude-4-opus-20250514",
+   "display_name": "claude-4-opus-20250514",
    "input_per_1m": 15.0,
    "output_per_1m": 75.0,
    "cached_input_per_1m": 1.5,
@@ -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": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 219,
@@ -4338,25 +4338,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
-  },
-  {
-   "id": 23,
-   "provider": "anthropic",
-   "model_id": "claude-4-opus-20250514",
-   "display_name": "claude-4-opus-20250514",
-   "input_per_1m": 15.0,
-   "output_per_1m": 75.0,
-   "cached_input_per_1m": 1.5,
-   "context_window": 200000,
-   "max_output_tokens": 32000,
-   "modalities": "text,image",
-   "supports_tools": true,
-   "supports_vision": true,
-   "knowledge_cutoff": null,
-   "status": "ga",
-   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 22,
@@ -4374,13 +4356,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 30,
+   "id": 28,
    "provider": "anthropic",
-   "model_id": "claude-opus-4-20250514",
-   "display_name": "claude-opus-4-20250514",
+   "model_id": "claude-opus-4-1",
+   "display_name": "claude-opus-4-1",
    "input_per_1m": 15.0,
    "output_per_1m": 75.0,
    "cached_input_per_1m": 1.5,
@@ -4392,7 +4374,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 29,
@@ -4410,7 +4392,7 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 218,
@@ -4428,25 +4410,43 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 94,
+   "id": 30,
+   "provider": "anthropic",
+   "model_id": "claude-opus-4-20250514",
+   "display_name": "claude-opus-4-20250514",
+   "input_per_1m": 15.0,
+   "output_per_1m": 75.0,
+   "cached_input_per_1m": 1.5,
+   "context_window": 200000,
+   "max_output_tokens": 32000,
+   "modalities": "text,image",
+   "supports_tools": true,
+   "supports_vision": true,
+   "knowledge_cutoff": null,
+   "status": "ga",
+   "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
+  },
+  {
+   "id": 51,
    "provider": "openai",
-   "model_id": "gpt-4-0314",
-   "display_name": "gpt-4-0314",
+   "model_id": "ft:gpt-4-0613",
+   "display_name": "ft:gpt-4-0613",
    "input_per_1m": 30.0,
    "output_per_1m": 60.0,
    "cached_input_per_1m": null,
    "context_window": 8192,
    "max_output_tokens": 4096,
    "modalities": "text",
-   "supports_tools": false,
+   "supports_tools": true,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
    "id": 95,
@@ -4464,13 +4464,13 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 51,
+   "id": 92,
    "provider": "openai",
-   "model_id": "ft:gpt-4-0613",
-   "display_name": "ft:gpt-4-0613",
+   "model_id": "gpt-4",
+   "display_name": "gpt-4",
    "input_per_1m": 30.0,
    "output_per_1m": 60.0,
    "cached_input_per_1m": null,
@@ -4482,25 +4482,25 @@
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   },
   {
-   "id": 92,
+   "id": 94,
    "provider": "openai",
-   "model_id": "gpt-4",
-   "display_name": "gpt-4",
+   "model_id": "gpt-4-0314",
+   "display_name": "gpt-4-0314",
    "input_per_1m": 30.0,
    "output_per_1m": 60.0,
    "cached_input_per_1m": null,
    "context_window": 8192,
    "max_output_tokens": 4096,
    "modalities": "text",
-   "supports_tools": true,
+   "supports_tools": false,
    "supports_vision": false,
    "knowledge_cutoff": null,
    "status": "ga",
    "source_url": "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json",
-   "updated_at": "2026-05-31T23:43:48.864234+00:00"
+   "updated_at": "2026-05-31T23:52:33.158030+00:00"
   }
  ],
  "mcp_servers": [
@@ -4518,7 +4518,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20894,
@@ -4534,7 +4534,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2197,
@@ -4550,7 +4550,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20909,
@@ -4566,7 +4566,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2158,
@@ -4582,7 +4582,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20951,
@@ -4598,7 +4598,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2129,
@@ -4614,7 +4614,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2144,
@@ -4630,7 +4630,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20947,
@@ -4646,7 +4646,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20881,
@@ -4662,7 +4662,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20857,
@@ -4678,7 +4678,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20912,
@@ -4694,7 +4694,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2128,
@@ -4710,7 +4710,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20910,
@@ -4726,7 +4726,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20901,
@@ -4742,7 +4742,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20870,
@@ -4758,7 +4758,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2145,
@@ -4774,7 +4774,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20896,
@@ -4790,7 +4790,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20914,
@@ -4806,7 +4806,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20924,
@@ -4822,7 +4822,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2165,
@@ -4838,7 +4838,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20994,
@@ -4854,7 +4854,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20917,
@@ -4870,7 +4870,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 21002,
@@ -4886,7 +4886,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20859,
@@ -4902,7 +4902,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2120,
@@ -4918,7 +4918,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20858,
@@ -4934,7 +4934,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2119,
@@ -4950,7 +4950,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2200,
@@ -4966,7 +4966,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20889,
@@ -4982,7 +4982,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2111,
@@ -4998,7 +4998,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2123,
@@ -5014,7 +5014,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2134,
@@ -5030,7 +5030,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20965,
@@ -5046,7 +5046,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20925,
@@ -5062,7 +5062,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20919,
@@ -5078,7 +5078,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20863,
@@ -5094,7 +5094,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20903,
@@ -5110,7 +5110,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2164,
@@ -5126,7 +5126,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20942,
@@ -5142,7 +5142,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2132,
@@ -5158,7 +5158,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20882,
@@ -5174,7 +5174,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2168,
@@ -5190,15 +5190,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20959,
-   "url": "https://www.pulsemcp.com/servers/abuiles-codex-whatsapp-relay",
-   "name": "Codex WhatsApp Relay",
-   "description": "Links a local WhatsApp account to OpenAI Codex, enabling message reading, sending, and phone-based control of Codex sessions. Features include QR-code authentication, voice note transcription with local Parakeet models, session switching between Codex threads, and configurable permission levels from read-only to full access.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/abuiles/codex-whatsapp-relay",
+   "id": 20906,
+   "url": "https://www.pulsemcp.com/servers/aartiq-servicenow",
+   "name": "ServiceNow",
+   "description": "Provides deep integration with the ServiceNow platform across 31+ modules including incident management, change management, CMDB, knowledge base, service catalog, scripting, Flow Designer, Now Assist, Service Portal, and more. Supports multi-instance management for connecting to development, staging, production, and multiple customer tenants simultaneously. Features a five-tier permission model with read-only by default, role-based tool packages for 14 personas, and both Basic Auth and OAuth 2.0 authentication.",
+   "homepage_url": "https://servicenow-mcp.com",
+   "source_code_url": "https://github.com/aartiq/servicenow-mcp",
    "github_stars": 28,
    "package_registry": null,
    "package_name": null,
@@ -5206,15 +5206,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20906,
-   "url": "https://www.pulsemcp.com/servers/aartiq-servicenow",
-   "name": "ServiceNow",
-   "description": "Provides deep integration with the ServiceNow platform across 31+ modules including incident management, change management, CMDB, knowledge base, service catalog, scripting, Flow Designer, Now Assist, Service Portal, and more. Supports multi-instance management for connecting to development, staging, production, and multiple customer tenants simultaneously. Features a five-tier permission model with read-only by default, role-based tool packages for 14 personas, and both Basic Auth and OAuth 2.0 authentication.",
-   "homepage_url": "https://servicenow-mcp.com",
-   "source_code_url": "https://github.com/aartiq/servicenow-mcp",
+   "id": 20959,
+   "url": "https://www.pulsemcp.com/servers/abuiles-codex-whatsapp-relay",
+   "name": "Codex WhatsApp Relay",
+   "description": "Links a local WhatsApp account to OpenAI Codex, enabling message reading, sending, and phone-based control of Codex sessions. Features include QR-code authentication, voice note transcription with local Parakeet models, session switching between Codex threads, and configurable permission levels from read-only to full access.",
+   "homepage_url": null,
+   "source_code_url": "https://github.com/abuiles/codex-whatsapp-relay",
    "github_stars": 28,
    "package_registry": null,
    "package_name": null,
@@ -5222,7 +5222,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2199,
@@ -5238,7 +5238,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2151,
@@ -5254,7 +5254,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2178,
@@ -5270,7 +5270,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 21000,
@@ -5286,7 +5286,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20884,
@@ -5302,7 +5302,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2192,
@@ -5318,7 +5318,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20864,
@@ -5334,7 +5334,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20913,
@@ -5350,7 +5350,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2118,
@@ -5366,7 +5366,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20868,
@@ -5382,7 +5382,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20970,
@@ -5398,15 +5398,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20922,
-   "url": "https://www.pulsemcp.com/servers/abdulkhalek-1-drf-docs",
-   "name": "DRF Docs",
-   "description": "Serves Django REST Framework API documentation via the Model Context Protocol, enabling AI coding agents to browse endpoints, schemas, and authentication methods. Provides tools for searching endpoints, generating request/response examples, and producing integration code in JavaScript, TypeScript, Python, and cURL. Supports drf-spectacular, drf-yasg, and DRF's built-in schema generation with both stdio and streamable-http transports.",
+   "id": 2136,
+   "url": "https://www.pulsemcp.com/servers/13rac1-videocapture",
+   "name": "VideoCapture",
+   "description": "VideoCapture MCP provides AI assistants with access to webcams and video sources through OpenCV, enabling image capture and camera control capabilities. The server exposes tools for capturing still images, managing camera connections, adjusting video properties like brightness and resolution, and performing basic image transformations such as horizontal flipping. Developed by 13rac1, this implementation focuses on still image capture only (no video streaming) and is designed to integrate seamlessly with Claude Desktop, making it ideal for AI applications that need to analyze real-world objects or environments through webcam imagery.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/abdulkhalek-1/drf-mcp-docs",
+   "source_code_url": "https://github.com/13rac1/videocapture-mcp",
    "github_stars": 17,
    "package_registry": null,
    "package_name": null,
@@ -5414,15 +5414,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2117,
-   "url": "https://www.pulsemcp.com/servers/0xgval-ethereum-blockchain-tools",
-   "name": "Ethereum Blockchain Tools",
-   "description": "EVM MCP Tools provides Ethereum blockchain analysis capabilities directly within Claude AI conversations. It offers a suite of tools for smart contract auditing, wallet analysis, token balance checking, and profitability tracking across Ethereum and compatible chains. The implementation leverages Web3.js, Moralis, and Etherscan APIs to fetch on-chain data, analyze contract security, detect token standards, and calculate wallet profit/loss metrics. Designed for integration with Claude for Desktop, it enables users to perform blockchain analysis tasks without leaving their conversation context, making it particularly valuable for developers, traders, and researchers who need quick access to Ethereum data.",
+   "id": 20958,
+   "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/0xgval/evm-mcp-tools",
+   "source_code_url": "https://github.com/abstracta/ibm-as-400-iseries-mcp-server",
    "github_stars": 17,
    "package_registry": null,
    "package_name": null,
@@ -5430,15 +5430,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20958,
-   "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": 20928,
+   "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,
@@ -5446,15 +5446,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20922,
+   "url": "https://www.pulsemcp.com/servers/abdulkhalek-1-drf-docs",
+   "name": "DRF Docs",
+   "description": "Serves Django REST Framework API documentation via the Model Context Protocol, enabling AI coding agents to browse endpoints, schemas, and authentication methods. Provides tools for searching endpoints, generating request/response examples, and producing integration code in JavaScript, TypeScript, Python, and cURL. Supports drf-spectacular, drf-yasg, and DRF's built-in schema generation with both stdio and streamable-http transports.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/13rac1/videocapture-mcp",
+   "source_code_url": "https://github.com/abdulkhalek-1/drf-mcp-docs",
    "github_stars": 17,
    "package_registry": null,
    "package_name": null,
@@ -5462,15 +5462,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20928,
-   "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": 2117,
+   "url": "https://www.pulsemcp.com/servers/0xgval-ethereum-blockchain-tools",
+   "name": "Ethereum Blockchain Tools",
+   "description": "EVM MCP Tools provides Ethereum blockchain analysis capabilities directly within Claude AI conversations. It offers a suite of tools for smart contract auditing, wallet analysis, token balance checking, and profitability tracking across Ethereum and compatible chains. The implementation leverages Web3.js, Moralis, and Etherscan APIs to fetch on-chain data, analyze contract security, detect token standards, and calculate wallet profit/loss metrics. Designed for integration with Claude for Desktop, it enables users to perform blockchain analysis tasks without leaving their conversation context, making it particularly valuable for developers, traders, and researchers who need quick access to Ethereum data.",
+   "homepage_url": null,
+   "source_code_url": "https://github.com/0xgval/evm-mcp-tools",
    "github_stars": 17,
    "package_registry": null,
    "package_name": null,
@@ -5478,7 +5478,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20935,
@@ -5494,7 +5494,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20997,
@@ -5510,7 +5510,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20937,
@@ -5526,7 +5526,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20899,
@@ -5542,7 +5542,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2130,
@@ -5558,15 +5558,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20854,
+   "url": "https://www.pulsemcp.com/servers/7gugu-zip-compression",
+   "name": "ZIP Compression",
+   "description": "A Model Context Protocol server that provides ZIP compression capabilities using fastMCP and zip.js. This implementation allows AI assistants to compress and decompress files directly through MCP, enabling efficient file handling without leaving the conversation interface. The server exposes compression utilities as tools that can be called programmatically, making it valuable for workflows involving file management, data transfer, and storage optimization.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/1rb/mongo-mcp",
+   "source_code_url": "https://github.com/7gugu/zip-mcp",
    "github_stars": 15,
    "package_registry": null,
    "package_name": null,
@@ -5574,15 +5574,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20854,
-   "url": "https://www.pulsemcp.com/servers/7gugu-zip-compression",
-   "name": "ZIP Compression",
-   "description": "A Model Context Protocol server that provides ZIP compression capabilities using fastMCP and zip.js. This implementation allows AI assistants to compress and decompress files directly through MCP, enabling efficient file handling without leaving the conversation interface. The server exposes compression utilities as tools that can be called programmatically, making it valuable for workflows involving file management, data transfer, and storage optimization.",
+   "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/7gugu/zip-mcp",
+   "source_code_url": "https://github.com/1rb/mongo-mcp",
    "github_stars": 15,
    "package_registry": null,
    "package_name": null,
@@ -5590,7 +5590,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20944,
@@ -5606,7 +5606,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2189,
@@ -5622,7 +5622,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2148,
@@ -5638,23 +5638,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+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": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20915,
@@ -5670,7 +5654,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20974,
@@ -5686,7 +5670,23 @@
    "remote_url": "https://midjourney.mcp.acedata.cloud/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2133,
@@ -5702,7 +5702,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20867,
@@ -5718,7 +5718,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2121,
@@ -5734,15 +5734,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20890,
-   "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": 20887,
+   "url": "https://www.pulsemcp.com/servers/aallsbury-qb-time",
+   "name": "QuickBooks Time",
+   "description": "This QuickBooks Time MCP server, developed by an AI assistant, provides a unified interface to QuickBooks Time API functionality. Built with Python and leveraging libraries like requests and pydantic, it offers a comprehensive set of endpoints for managing jobcodes, timesheets, users, projects, and generating reports. The server implements robust error handling, pagination support, and date parameter formatting. By consolidating multiple QuickBooks Time services into a single, efficient interface, it simplifies integration and data access for developers. This implementation is particularly valuable for businesses using QuickBooks Time, enabling use cases such as automated time tracking, payroll processing, project management, and custom reporting workflows.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/aaomidi/mcp-bazel",
+   "source_code_url": "https://github.com/aallsbury/qb-time-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": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20891,
-   "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": 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/aapanel/mcp-server",
+   "source_code_url": "https://github.com/0xkoda/eth-mcp",
    "github_stars": 11,
    "package_registry": null,
    "package_name": null,
@@ -5766,7 +5766,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2167,
@@ -5782,15 +5782,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20887,
-   "url": "https://www.pulsemcp.com/servers/aallsbury-qb-time",
-   "name": "QuickBooks Time",
-   "description": "This QuickBooks Time MCP server, developed by an AI assistant, provides a unified interface to QuickBooks Time API functionality. Built with Python and leveraging libraries like requests and pydantic, it offers a comprehensive set of endpoints for managing jobcodes, timesheets, users, projects, and generating reports. The server implements robust error handling, pagination support, and date parameter formatting. By consolidating multiple QuickBooks Time services into a single, efficient interface, it simplifies integration and data access for developers. This implementation is particularly valuable for businesses using QuickBooks Time, enabling use cases such as automated time tracking, payroll processing, project management, and custom reporting workflows.",
+   "id": 20891,
+   "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/aallsbury/qb-time-mcp-server",
+   "source_code_url": "https://github.com/aapanel/mcp-server",
    "github_stars": 11,
    "package_registry": null,
    "package_name": null,
@@ -5798,15 +5798,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20890,
+   "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,
@@ -5814,15 +5814,31 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20930,
-   "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": 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/abhijeetka/mcp-k8s-server",
+   "source_code_url": "https://github.com/1broseidon/mcp-jira-server",
+   "github_stars": 10,
+   "package_registry": null,
+   "package_name": null,
+   "download_count": null,
+   "remote_url": null,
+   "is_remote": false,
+   "source": "pulsemcp",
+   "updated_at": "2026-05-31T23:52:55.349204+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.",
+   "homepage_url": null,
+   "source_code_url": "https://github.com/304techmaven/plaid-mcp-server",
    "github_stars": 10,
    "package_registry": null,
    "package_name": null,
@@ -5830,7 +5846,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2170,
@@ -5846,15 +5862,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20930,
+   "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/1broseidon/mcp-jira-server",
+   "source_code_url": "https://github.com/abhijeetka/mcp-k8s-server",
    "github_stars": 10,
    "package_registry": null,
    "package_name": null,
@@ -5862,23 +5878,23 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20967,
+   "url": "https://www.pulsemcp.com/servers/acacian-aegis",
+   "name": "Aegis",
+   "description": "Aegis is a Python middleware that sits between AI agents and their actions, providing policy-based governance. It evaluates every action against YAML-defined rules with glob matching, enforces four-tier risk classification (low/medium/high/critical), and gates execution through configurable approval handlers including CLI, Slack, Discord, Telegram, and webhooks. The MCP adapter wraps Model Context Protocol tool calls with the same governance pipeline. Additional capabilities include behavioral anomaly detection, compliance reporting, cryptographic audit chains, RBAC, and multi-tenant isolation.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/304techmaven/plaid-mcp-server",
-   "github_stars": 10,
+   "source_code_url": "https://github.com/acacian/aegis",
+   "github_stars": 9,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20877,
@@ -5894,23 +5910,23 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20967,
-   "url": "https://www.pulsemcp.com/servers/acacian-aegis",
-   "name": "Aegis",
-   "description": "Aegis is a Python middleware that sits between AI agents and their actions, providing policy-based governance. It evaluates every action against YAML-defined rules with glob matching, enforces four-tier risk classification (low/medium/high/critical), and gates execution through configurable approval handlers including CLI, Slack, Discord, Telegram, and webhooks. The MCP adapter wraps Model Context Protocol tool calls with the same governance pipeline. Additional capabilities include behavioral anomaly detection, compliance reporting, cryptographic audit chains, RBAC, and multi-tenant isolation.",
+   "id": 2109,
+   "url": "https://www.pulsemcp.com/servers/0sparsh2-gax",
+   "name": "GAX",
+   "description": "Offers a CLI ergonomics framework designed for AI agents, featuring an MCP bridge adapter that enables lazy tool discovery and governance controls. Reduces token usage by exposing tools on demand rather than upfront. Built in Python with support for multiple AI agent runtimes.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/acacian/aegis",
-   "github_stars": 9,
+   "source_code_url": "https://github.com/0sparsh2/gax",
+   "github_stars": 8,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20999,
@@ -5926,23 +5942,23 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2109,
-   "url": "https://www.pulsemcp.com/servers/0sparsh2-gax",
-   "name": "GAX",
-   "description": "Offers a CLI ergonomics framework designed for AI agents, featuring an MCP bridge adapter that enables lazy tool discovery and governance controls. Reduces token usage by exposing tools on demand rather than upfront. Built in Python with support for multiple AI agent runtimes.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/0sparsh2/gax",
-   "github_stars": 8,
+   "id": 20981,
+   "url": "https://www.pulsemcp.com/servers/acedatacloud-suno",
+   "name": "AceDataCloud Suno",
+   "description": "Generate AI music, lyrics, and covers using Suno models through the AceDataCloud unified API platform. Supports text-to-music generation, lyric creation, and cover song production. Available as a hosted service or self-hosted via PyPI.",
+   "homepage_url": "https://suno.mcp.acedata.cloud",
+   "source_code_url": "https://github.com/acedatacloud/sunomcp",
+   "github_stars": 7,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
-   "remote_url": null,
-   "is_remote": false,
+   "remote_url": "https://suno.mcp.acedata.cloud/mcp",
+   "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2106,
@@ -5958,23 +5974,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
-  },
-  {
-   "id": 20981,
-   "url": "https://www.pulsemcp.com/servers/acedatacloud-suno",
-   "name": "AceDataCloud Suno",
-   "description": "Generate AI music, lyrics, and covers using Suno models through the AceDataCloud unified API platform. Supports text-to-music generation, lyric creation, and cover song production. Available as a hosted service or self-hosted via PyPI.",
-   "homepage_url": "https://suno.mcp.acedata.cloud",
-   "source_code_url": "https://github.com/acedatacloud/sunomcp",
-   "github_stars": 7,
-   "package_registry": null,
-   "package_name": null,
-   "download_count": null,
-   "remote_url": "https://suno.mcp.acedata.cloud/mcp",
-   "is_remote": true,
-   "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20918,
@@ -5990,15 +5990,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20938,
-   "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": 20952,
+   "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/abhirockzz/mcp_cosmosdb_go",
+   "source_code_url": "https://github.com/aborroy/alfresco-mcp-poc",
    "github_stars": 6,
    "package_registry": null,
    "package_name": null,
@@ -6006,15 +6006,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 2196,
+   "url": "https://www.pulsemcp.com/servers/611711dark-sympy-calculator",
+   "name": "SymPy Calculator",
+   "description": "MCP Calculate Server provides mathematical computation capabilities through a Python-based server that leverages the SymPy library for symbolic mathematics. Developed by 611711Dark, this implementation enables AI assistants to perform complex calculations, equation solving, and symbolic manipulation without needing direct access to mathematical libraries. The server requires Python 3.11 or higher and depends on both the MCP framework and SymPy, making it ideal for use cases requiring advanced mathematical operations within AI assistant conversations.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/1yhy/oss-mcp",
+   "source_code_url": "https://github.com/611711dark/mcp_calculate_server",
    "github_stars": 6,
    "package_registry": null,
    "package_name": null,
@@ -6022,31 +6022,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20861,
+   "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/1595901624/qrcode-mcp",
-   "github_stars": 6,
-   "package_registry": null,
-   "package_name": null,
-   "download_count": null,
-   "remote_url": null,
-   "is_remote": false,
-   "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
-  },
-  {
-   "id": 20952,
-   "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/aborroy/alfresco-mcp-poc",
+   "source_code_url": "https://github.com/90barricade93/msfs-sdk-mcp",
    "github_stars": 6,
    "package_registry": null,
    "package_name": null,
@@ -6054,15 +6038,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2196,
-   "url": "https://www.pulsemcp.com/servers/611711dark-sympy-calculator",
-   "name": "SymPy Calculator",
-   "description": "MCP Calculate Server provides mathematical computation capabilities through a Python-based server that leverages the SymPy library for symbolic mathematics. Developed by 611711Dark, this implementation enables AI assistants to perform complex calculations, equation solving, and symbolic manipulation without needing direct access to mathematical libraries. The server requires Python 3.11 or higher and depends on both the MCP framework and SymPy, making it ideal for use cases requiring advanced mathematical operations within AI assistant conversations.",
+   "id": 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/611711dark/mcp_calculate_server",
+   "source_code_url": "https://github.com/1595901624/qrcode-mcp",
    "github_stars": 6,
    "package_registry": null,
    "package_name": null,
@@ -6070,7 +6054,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20975,
@@ -6086,7 +6070,7 @@
    "remote_url": "https://nanobanana.mcp.acedata.cloud/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20855,
@@ -6102,15 +6086,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20861,
-   "url": "https://www.pulsemcp.com/servers/90barricade93-msfs-sdk",
-   "name": "Microsoft Flight Simulator SDK",
-   "description": "MSFS SDK MCP server provides TypeScript-based access to Microsoft Flight Simulator SDK documentation through web scraping and natural language processing. The implementation fetches documentation from docs.flightsimulator.com, supports category-based searching across contents, index, and glossary sections, and includes a natural language service that parses commands like 'Search livery op msfs sdk' into structured tool calls. Built with Cheerio for HTML parsing and Puppeteer for web automation, it's designed for flight simulation developers who need quick access to MSFS SDK documentation without manually browsing the official documentation site, enabling workflows like finding specific API references, code examples, and technical specifications through conversational queries.",
+   "id": 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/90barricade93/msfs-sdk-mcp",
+   "source_code_url": "https://github.com/1yhy/oss-mcp",
    "github_stars": 6,
    "package_registry": null,
    "package_name": null,
@@ -6118,23 +6102,23 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20938,
+   "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/07freedom/mcp-server-mteam",
-   "github_stars": 5,
+   "source_code_url": "https://github.com/abhirockzz/mcp_cosmosdb_go",
+   "github_stars": 6,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2114,
@@ -6150,15 +6134,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20990,
-   "url": "https://www.pulsemcp.com/servers/achetronic-filesystem",
-   "name": "Filesystem",
-   "description": "Go-based filesystem server with enterprise security features including role-based access control using CEL expressions, JWT-based authentication with OAuth2 integration, and a comprehensive undo system for file operations. Supports both stdio and HTTP transports, offers process management for background command execution, scratch storage, and system information retrieval. Designed for development workflows and system administration tasks requiring fine-grained permission control over file operations.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/achetronic/filesystem-mcp",
+   "id": 20904,
+   "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,
@@ -6166,7 +6150,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20860,
@@ -6182,15 +6166,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20904,
-   "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": 20990,
+   "url": "https://www.pulsemcp.com/servers/achetronic-filesystem",
+   "name": "Filesystem",
+   "description": "Go-based filesystem server with enterprise security features including role-based access control using CEL expressions, JWT-based authentication with OAuth2 integration, and a comprehensive undo system for file operations. Supports both stdio and HTTP transports, offers process management for background command execution, scratch storage, and system information retrieval. Designed for development workflows and system administration tasks requiring fine-grained permission control over file operations.",
+   "homepage_url": null,
+   "source_code_url": "https://github.com/achetronic/filesystem-mcp",
    "github_stars": 5,
    "package_registry": null,
    "package_name": null,
@@ -6198,31 +6182,31 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2126,
-   "url": "https://www.pulsemcp.com/servers/0x-professor-ui-analyzer",
-   "name": "UI Analyzer",
-   "description": "Analyzes website UI using Playwright browser automation to detect layout issues, identify broken elements, and generate precise CSS/HTML fixes with framework-specific solutions for React, Vue, Angular, and popular UI libraries.",
+   "id": 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/0x-professor/uianalyzermcp",
-   "github_stars": 4,
+   "source_code_url": "https://github.com/07freedom/mcp-server-mteam",
+   "github_stars": 5,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20876,
-   "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": 2163,
+   "url": "https://www.pulsemcp.com/servers/2arons-org",
+   "name": "Org Mode",
+   "description": "Exposes org-mode and org-roam knowledge bases to LLMs without requiring Emacs to run. Uses a tree-sitter org parser and maintains an SQLite index for fast full-text search, tag and property filtering, backlink traversal, heading subtree extraction, and file watching for live updates. Parses org-mode syntax including drawers, blocks, inline markup, and timestamps. Available via cargo install.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/a2xdeveloper/tagesschau-mcp-server",
+   "source_code_url": "https://github.com/2arons/org-mcp",
    "github_stars": 4,
    "package_registry": null,
    "package_name": null,
@@ -6230,15 +6214,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 2116,
+   "url": "https://www.pulsemcp.com/servers/0xdwong-sui",
+   "name": "Sui",
+   "description": "Sui MCP server enables AI assistants to interact with the Sui blockchain network through a standardized interface. Built with TypeScript, it provides tools for requesting test tokens from the Sui devnet faucet and integrates with the official Sui SDK. This implementation is particularly valuable for blockchain developers and users who need to test Sui smart contracts or manage wallets through conversational AI.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/0x-professor/ctf-time-mcp",
+   "source_code_url": "https://github.com/deanpluse/sui-mcp",
    "github_stars": 4,
    "package_registry": null,
    "package_name": null,
@@ -6246,15 +6230,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20991,
-   "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": 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/achetronic/hass-mcp",
+   "source_code_url": "https://github.com/0x-professor/ctf-time-mcp",
    "github_stars": 4,
    "package_registry": null,
    "package_name": null,
@@ -6262,15 +6246,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2185,
-   "url": "https://www.pulsemcp.com/servers/404f0x-google-colab",
-   "name": "Google Colab",
-   "description": "This server extends a baseline Colab MCP implementation with comprehensive notebook management including cell editing, runtime connection, shell command execution, file operations, and GPU monitoring. It enables AI agents to use Google Colab as a remote browser, shell, file system, and training runtime through MCP tools.",
+   "id": 2126,
+   "url": "https://www.pulsemcp.com/servers/0x-professor-ui-analyzer",
+   "name": "UI Analyzer",
+   "description": "Analyzes website UI using Playwright browser automation to detect layout issues, identify broken elements, and generate precise CSS/HTML fixes with framework-specific solutions for React, Vue, Angular, and popular UI libraries.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/404f0x/better_colab_mcp",
+   "source_code_url": "https://github.com/0x-professor/uianalyzermcp",
    "github_stars": 4,
    "package_registry": null,
    "package_name": null,
@@ -6278,15 +6262,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20934,
-   "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": 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/abhinavkalyan10/personal-context-mcp",
+   "source_code_url": "https://github.com/1pitaph/su_mcp",
    "github_stars": 4,
    "package_registry": null,
    "package_name": null,
@@ -6294,15 +6278,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20933,
-   "url": "https://www.pulsemcp.com/servers/abhinavg6-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.",
+   "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/abhinavg6/sui-mcp-server",
+   "source_code_url": "https://github.com/2captcha/mcp-captcha-solver",
    "github_stars": 4,
    "package_registry": null,
    "package_name": null,
@@ -6310,15 +6294,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20945,
-   "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": 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",
    "github_stars": 4,
    "package_registry": null,
    "package_name": null,
@@ -6326,15 +6310,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20876,
+   "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/1pitaph/su_mcp",
+   "source_code_url": "https://github.com/a2xdeveloper/tagesschau-mcp-server",
    "github_stars": 4,
    "package_registry": null,
    "package_name": null,
@@ -6342,7 +6326,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20907,
@@ -6358,15 +6342,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2116,
-   "url": "https://www.pulsemcp.com/servers/0xdwong-sui",
+   "id": 20933,
+   "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,
@@ -6374,15 +6358,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2166,
-   "url": "https://www.pulsemcp.com/servers/2captcha",
-   "name": "2Captcha",
-   "description": "2Captcha MCP Server provides browser automation and captcha-solving capabilities for AI agents. It exposes approximately 12 tools covering page navigation, clicking, text extraction, and dedicated captcha-solving workflows including reCAPTCHA v2, backed by the 2Captcha API. Designed to keep agents from managing low-level browser steps while handling captcha challenges that block automation flows. Requires a 2Captcha API key.",
+   "id": 20934,
+   "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/2captcha/mcp-captcha-solver",
+   "source_code_url": "https://github.com/abhinavkalyan10/personal-context-mcp",
    "github_stars": 4,
    "package_registry": null,
    "package_name": null,
@@ -6390,15 +6374,31 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2163,
-   "url": "https://www.pulsemcp.com/servers/2arons-org",
-   "name": "Org Mode",
-   "description": "Exposes org-mode and org-roam knowledge bases to LLMs without requiring Emacs to run. Uses a tree-sitter org parser and maintains an SQLite index for fast full-text search, tag and property filtering, backlink traversal, heading subtree extraction, and file watching for live updates. Parses org-mode syntax including drawers, blocks, inline markup, and timestamps. Available via cargo install.",
+   "id": 20945,
+   "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,
+   "download_count": null,
+   "remote_url": null,
+   "is_remote": false,
+   "source": "pulsemcp",
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
+  },
+  {
+   "id": 20991,
+   "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/2arons/org-mcp",
+   "source_code_url": "https://github.com/achetronic/hass-mcp",
    "github_stars": 4,
    "package_registry": null,
    "package_name": null,
@@ -6406,15 +6406,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20939,
-   "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": 20920,
+   "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/abhirockzz/mcp_kusto",
+   "source_code_url": "https://github.com/abdessamad-elamrani/malwareanalyzermcp",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6422,15 +6422,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2124,
-   "url": "https://www.pulsemcp.com/servers/0xmihirk-hercules",
-   "name": "Hercules",
-   "description": "An MCP server for penetration testing workflows using containerized Kali Linux environments. Provides tools to run Nmap, Metasploit, SQLMap, and John the Ripper in ephemeral Docker containers with a persistent workspace.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/0xmihirk/hercules-mcp",
+   "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,
@@ -6438,15 +6438,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2138,
-   "url": "https://www.pulsemcp.com/servers/156554395-doubao-image-video",
-   "name": "Doubao Image Video",
-   "description": "Provides image and video generation capabilities through integration with ByteDance's Doubao platform. Supports image creation using Seedream models with customizable sizes and reference image guidance, video generation with configurable duration, frame rate, and resolution using Seedance models, and task status querying for asynchronous video operations.",
+   "id": 20880,
+   "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/156554395/doubao-image-video-mcp",
+   "source_code_url": "https://github.com/aadi775/mahoraga",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6454,15 +6454,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 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/1luvc0d3/metabase-mcp",
+   "source_code_url": "https://github.com/29decibel/record-to-markdown",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6470,7 +6470,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2143,
@@ -6486,15 +6486,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2152,
-   "url": "https://www.pulsemcp.com/servers/2051project-cryptoweather",
-   "name": "CryptoWeather",
-   "description": "This MCP server provides AI assistants with access to CryptoWeather's Bitcoin price prediction signals through four specialized tools for retrieving current signals, trading recommendations, performance metrics, and signal methodology information. Built by the CryptoWeather Team using Python with FastMCP and requests, it connects to the CryptoWeather API at cryptoweather.xyz to deliver AI-powered Bitcoin trading insights including position clarity, profit information, and detailed trading advice with buy/sell/hold recommendations. The implementation includes configurable debug mode and API endpoint settings through Smithery configuration, making it valuable for traders seeking AI-driven Bitcoin market analysis, developers building cryptocurrency trading bots, and AI assistants requiring programmatic access to quantitative trading signals without manual market research.",
-   "homepage_url": "https://cryptoweather.xyz",
-   "source_code_url": "https://github.com/2051project/cryptoweather",
+   "id": 2124,
+   "url": "https://www.pulsemcp.com/servers/0xmihirk-hercules",
+   "name": "Hercules",
+   "description": "An MCP server for penetration testing workflows using containerized Kali Linux environments. Provides tools to run Nmap, Metasploit, SQLMap, and John the Ripper in ephemeral Docker containers with a persistent workspace.",
+   "homepage_url": null,
+   "source_code_url": "https://github.com/0xmihirk/hercules-mcp",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6502,15 +6502,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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.",
+   "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/29decibel/record-to-markdown",
+   "source_code_url": "https://github.com/3vening/gmail-mcp",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6518,15 +6518,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20873,
+   "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/3dcreationsbychad/fusion360-cam-assistant",
+   "source_code_url": "https://github.com/a2amarket/mcp-clamav",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6534,15 +6534,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20957,
+   "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/3io-w/strawbery-mcp",
+   "source_code_url": "https://github.com/scrape-technology/abrasio-mcp",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6550,15 +6550,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20939,
+   "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,
@@ -6566,15 +6566,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20908,
+   "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/aaryan-kapoor/mcp-character-tools",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6582,15 +6582,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 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/40ants/lisp-dev-mcp",
+   "source_code_url": "https://github.com/3io-w/strawbery-mcp",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6598,15 +6598,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20873,
-   "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": 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,
@@ -6614,7 +6614,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20879,
@@ -6630,15 +6630,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20880,
-   "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": 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/aadi775/mahoraga",
+   "source_code_url": "https://github.com/1luvc0d3/metabase-mcp",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6646,15 +6646,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20920,
-   "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": 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/abdessamad-elamrani/malwareanalyzermcp",
+   "source_code_url": "https://github.com/156554395/doubao-image-video-mcp",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6662,15 +6662,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20908,
-   "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": 20987,
+   "url": "https://www.pulsemcp.com/servers/achatainga-code-context",
+   "name": "Code Context",
+   "description": "This MCP server extracts structural information from codebases at the symbol level—functions, classes, and methods—rather than sending raw files, achieving 50–80% token reduction. It provides eleven tools split between read operations (semantic repo maps, surgical file reading, impact analysis, line-range reading, pattern search, rollback) and write operations (symbol-level insertion, renaming, removal, and surgical replacement). Uses SQLite caching and supports TypeScript, JavaScript, Python, PHP, and Dart.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/aaryan-kapoor/mcp-character-tools",
+   "source_code_url": "https://github.com/achatainga/mcp-code-context",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6678,15 +6678,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20957,
-   "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": 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/scrape-technology/abrasio-mcp",
+   "source_code_url": "https://github.com/3dcreationsbychad/fusion360-cam-assistant",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6694,7 +6694,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20969,
@@ -6710,15 +6710,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20987,
-   "url": "https://www.pulsemcp.com/servers/achatainga-code-context",
-   "name": "Code Context",
-   "description": "This MCP server extracts structural information from codebases at the symbol level—functions, classes, and methods—rather than sending raw files, achieving 50–80% token reduction. It provides eleven tools split between read operations (semantic repo maps, surgical file reading, impact analysis, line-range reading, pattern search, rollback) and write operations (symbol-level insertion, renaming, removal, and surgical replacement). Uses SQLite caching and supports TypeScript, JavaScript, Python, PHP, and Dart.",
+   "id": 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/achatainga/mcp-code-context",
+   "source_code_url": "https://github.com/40ants/lisp-dev-mcp",
    "github_stars": 3,
    "package_registry": null,
    "package_name": null,
@@ -6726,7 +6726,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20998,
@@ -6742,7 +6742,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20943,
@@ -6758,7 +6758,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20929,
@@ -6774,15 +6774,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20926,
-   "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.",
+   "id": 20949,
+   "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/abhi5h3k/mcp-email-verify",
+   "source_code_url": "https://github.com/abnersajr/mcp-readedit",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -6790,15 +6790,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2198,
-   "url": "https://www.pulsemcp.com/servers/6hdj-notificationmcp",
-   "name": "Notification",
-   "description": "Runs as an on-device Android MCP server on port 8765 using streamable HTTP transport. Enables AI agents to read, filter, and manage phone notifications from Android 11+ devices with sensitive data masking and 22 diagnostic health checks.",
+   "id": 2195,
+   "url": "https://www.pulsemcp.com/servers/5pence-safe-wallet",
+   "name": "Safe Wallet",
+   "description": "This Safe MCP server, developed by 5pence, enables interaction with Safe (formerly Gnosis Safe) smart contract wallets through the Model Context Protocol. Built with TypeScript and leveraging the MCP SDK, it provides tools for querying Safe transactions, retrieving multisig transaction details, and decoding transaction data. The implementation focuses on simplifying access to Safe's functionality through a standardized interface, with default integration to the Safe Transaction API mainnet endpoint. It's particularly useful for developers and AI models needing to interact with Safe wallets, enabling use cases like transaction monitoring, multisig management, and smart contract interaction analysis without dealing directly with blockchain complexities.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/6hdj/notificationmcp",
+   "source_code_url": "https://github.com/5ajaki/safe-mcp-server",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -6806,15 +6806,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2173,
-   "url": "https://www.pulsemcp.com/servers/3351163616-pdf-reader",
-   "name": "PDF Reader",
-   "description": "Processes PDF documents with intelligent type detection, extracting text from both text-based and scanned documents. Integrates pdf-parse, pdf-lib, and pdf-to-png-converter with Baidu OCR API for multilingual document recognition. Provides text extraction with page range support, full-text search with regex capabilities, metadata extraction, and automatic fallback from text extraction to OCR when needed. Useful for document processing pipelines, content analysis systems, and AI-assisted document review workflows.",
+   "id": 20968,
+   "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/3351163616/mcp_pdf_reader",
+   "source_code_url": "https://github.com/alperenkocyigit/authorprofilemcp",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -6822,15 +6822,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20949,
-   "url": "https://www.pulsemcp.com/servers/abnersajr-readedit",
-   "name": "ReadEdit",
-   "description": "ReadEdit provides four MCP tools that batch file reading and editing operations into single calls, cutting token overhead by 80-95% for workflows requiring simultaneous access to multiple files. It targets multi-file refactoring and code review tasks where repeated individual file reads would otherwise consume excessive context window tokens.",
+   "id": 2161,
+   "url": "https://www.pulsemcp.com/servers/2975647277-xiaohongshu",
+   "name": "Xiaohongshu",
+   "description": "This MCP server provides automation for the Xiaohongshu (小红书, Little Red Book) social media platform. It offers 13 tools covering QR-code-based login, note publishing with text and images, feed searching, liking, commenting, and user profile access. Content generation uses AI-powered writing with a personalized style, and cover images are rendered from HTML templates. Supports deployment as a web UI, MCP client, or command-line automation tool.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/abnersajr/mcp-readedit",
+   "source_code_url": "https://github.com/2975647277/xiaohongshu-mcp",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -6838,7 +6838,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20989,
@@ -6854,15 +6854,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20988,
-   "url": "https://www.pulsemcp.com/servers/acheong08-synthetic-search",
-   "name": "Synthetic Search",
-   "description": "Provides web search capabilities through the Synthetic Search API, returning structured results with titles, URLs, descriptions, and publication dates for queries up to 400 characters. Integrates with the Synthetic Search API as an MCP server to enable AI assistants to perform real-time web searches.",
+   "id": 20926,
+   "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/acheong08/synthetic-search-mcp",
+   "source_code_url": "https://github.com/abhi5h3k/mcp-email-verify",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -6870,31 +6870,31 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20921,
-   "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",
+   "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": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/5ajaki/safe-mcp-server",
+   "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,
@@ -6902,15 +6902,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2112,
-   "url": "https://www.pulsemcp.com/servers/0xadvait-team-manager",
-   "name": "Team Manager",
-   "description": "Team Manager is an MCP server that provides a MongoDB-backed control plane for multi-agent orchestration. It converts tasks into governed specialist rooms, allocates token budgets, manages shared context, and maintains audit trails. The server provides 17+ tools covering team onboarding, room planning and dispatch, source registration, shared blackboard, scoped memory, agent checkpointing, and auditable result emission, with approval workflow support and Bright Data source integration.",
+   "id": 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/0xadvait/team-manager-mcp",
+   "source_code_url": "https://github.com/23f2005639/mcp_ai",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -6918,15 +6918,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2161,
-   "url": "https://www.pulsemcp.com/servers/2975647277-xiaohongshu",
-   "name": "Xiaohongshu",
-   "description": "This MCP server provides automation for the Xiaohongshu (小红书, Little Red Book) social media platform. It offers 13 tools covering QR-code-based login, note publishing with text and images, feed searching, liking, commenting, and user profile access. Content generation uses AI-powered writing with a personalized style, and cover images are rendered from HTML templates. Supports deployment as a web UI, MCP client, or command-line automation tool.",
+   "id": 21001,
+   "url": "https://www.pulsemcp.com/servers/acrolinx-nextgen",
+   "name": "Acrolinx NextGen",
+   "description": "This MCP server integrates with Acrolinx's NextGen API to provide AI assistants with professional text analysis and improvement capabilities, built by Acrolinx using TypeScript with comprehensive workflow management including retry logic, timeout handling, and polling mechanisms. The implementation offers four core tools: automated text rewriting that transforms content while maintaining style guide compliance, quality analysis that provides detailed scores across grammar/clarity/tone dimensions, targeted editing suggestions for manual improvements, and workflow status checking for asynchronous operations. Supporting multiple style guides (AP, Chicago, Microsoft, Proofpoint), language dialects, and tone settings with configurable parameters for text length limits and API timeouts, it serves content teams needing automated editing workflows, technical writers requiring style guide enforcement, and organizations wanting to integrate enterprise-grade writing assistance into their AI-powered content creation processes.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/2975647277/xiaohongshu-mcp",
+   "source_code_url": "https://github.com/acrolinx/nextgen-mcp",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -6934,15 +6934,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20968,
-   "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",
+   "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,
@@ -6950,31 +6950,31 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20897,
-   "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/aaronroef/apple-mcp",
+   "id": 20976,
+   "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": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20988,
+   "url": "https://www.pulsemcp.com/servers/acheong08-synthetic-search",
+   "name": "Synthetic Search",
+   "description": "Provides web search capabilities through the Synthetic Search API, returning structured results with titles, URLs, descriptions, and publication dates for queries up to 400 characters. Integrates with the Synthetic Search API as an MCP server to enable AI assistants to perform real-time web searches.",
+   "homepage_url": null,
+   "source_code_url": "https://github.com/acheong08/synthetic-search-mcp",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -6982,15 +6982,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 2112,
+   "url": "https://www.pulsemcp.com/servers/0xadvait-team-manager",
+   "name": "Team Manager",
+   "description": "Team Manager is an MCP server that provides a MongoDB-backed control plane for multi-agent orchestration. It converts tasks into governed specialist rooms, allocates token budgets, manages shared context, and maintains audit trails. The server provides 17+ tools covering team onboarding, room planning and dispatch, source registration, shared blackboard, scoped memory, agent checkpointing, and auditable result emission, with approval workflow support and Bright Data source integration.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/23f2005639/mcp_ai",
+   "source_code_url": "https://github.com/0xadvait/team-manager-mcp",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -6998,15 +6998,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20950,
-   "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": 2198,
+   "url": "https://www.pulsemcp.com/servers/6hdj-notificationmcp",
+   "name": "Notification",
+   "description": "Runs as an on-device Android MCP server on port 8765 using streamable HTTP transport. Enables AI agents to read, filter, and manage phone notifications from Android 11+ devices with sensitive data masking and 22 diagnostic health checks.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/aboglioli/orchy",
+   "source_code_url": "https://github.com/6hdj/notificationmcp",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -7014,31 +7014,31 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20976,
-   "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": 20897,
+   "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/aaronroef/apple-mcp",
    "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": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 21001,
-   "url": "https://www.pulsemcp.com/servers/acrolinx-nextgen",
-   "name": "Acrolinx NextGen",
-   "description": "This MCP server integrates with Acrolinx's NextGen API to provide AI assistants with professional text analysis and improvement capabilities, built by Acrolinx using TypeScript with comprehensive workflow management including retry logic, timeout handling, and polling mechanisms. The implementation offers four core tools: automated text rewriting that transforms content while maintaining style guide compliance, quality analysis that provides detailed scores across grammar/clarity/tone dimensions, targeted editing suggestions for manual improvements, and workflow status checking for asynchronous operations. Supporting multiple style guides (AP, Chicago, Microsoft, Proofpoint), language dialects, and tone settings with configurable parameters for text length limits and API timeouts, it serves content teams needing automated editing workflows, technical writers requiring style guide enforcement, and organizations wanting to integrate enterprise-grade writing assistance into their AI-powered content creation processes.",
+   "id": 20923,
+   "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/acrolinx/nextgen-mcp",
+   "source_code_url": "https://github.com/abdushakurob/squadco-mcp",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -7046,15 +7046,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20883,
-   "url": "https://www.pulsemcp.com/servers/aahl-okx",
-   "name": "OKX",
-   "description": "Integrates with OKX cryptocurrency exchange to provide account management, trading operations, and market data access. Supports configuration retrieval, balance checking, position viewing, order placement and cancellation, order history, and cryptocurrency ranking information through ticker data.",
-   "homepage_url": "https://github.com/aahl/mcp-okx",
-   "source_code_url": "https://github.com/aahl/mcp-okx",
+   "id": 20921,
+   "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,
@@ -7062,15 +7062,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2155,
-   "url": "https://www.pulsemcp.com/servers/21stdev-magic-ui-generator",
-   "name": "Magic (21st.dev UI Generator)",
-   "description": "Magic MCP Server provides a bridge to 21st.dev's Magic API, enabling AI assistants to generate UI components and search for logos. Developed by serafim@21st.dev, this TypeScript implementation offers three specialized tools: creating UI components from descriptions, fetching existing components for inspiration, and searching for company logos in various formats (SVG, JSX, TSX). The server authenticates with the 21st.dev API using an API key and is designed to be easily integrated with AI clients like Cline and Windsurf through Smithery. Ideal for developers who want to quickly generate or find UI components and brand assets without leaving their AI assistant workflow.",
-   "homepage_url": "https://21st.dev/magic",
-   "source_code_url": "https://github.com/oyasimi1209/magic-mcp",
+   "id": 20902,
+   "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/aaronsb/jira-insights-mcp",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -7078,15 +7078,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20883,
+   "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,
@@ -7094,15 +7094,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20902,
-   "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": 20953,
+   "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/aaronsb/jira-insights-mcp",
+   "source_code_url": "https://github.com/abossard/ledfx-mcp",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -7110,15 +7110,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20953,
-   "url": "https://www.pulsemcp.com/servers/abossard-ledfx",
-   "name": "LedFX",
-   "description": "Provides comprehensive control over LedFX LED lighting systems through a TypeScript-based MCP server that bridges natural language commands to the LedFX REST API. Features an extensive color library with named colors and gradients, intelligent scene parsing that converts descriptions into proper effect configurations, and local SQLite storage for custom palettes and playlists. Includes effect recommendations based on mood and context, detailed explanations of LedFX concepts like virtuals and audio-reactive effects, and support for all major LedFX operations including device management, effect control, and scene creation.",
+   "id": 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/abossard/ledfx-mcp",
+   "source_code_url": "https://github.com/1425sd/spine-mcp",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -7126,23 +7126,23 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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",
+   "id": 20950,
+   "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/aboglioli/orchy",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
-   "remote_url": "https://mcp.0latency.ai/mcp",
-   "is_remote": true,
+   "remote_url": null,
+   "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2174,
@@ -7158,15 +7158,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20923,
-   "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": 2173,
+   "url": "https://www.pulsemcp.com/servers/3351163616-pdf-reader",
+   "name": "PDF Reader",
+   "description": "Processes PDF documents with intelligent type detection, extracting text from both text-based and scanned documents. Integrates pdf-parse, pdf-lib, and pdf-to-png-converter with Baidu OCR API for multilingual document recognition. Provides text extraction with page range support, full-text search with regex capabilities, metadata extraction, and automatic fallback from text extraction to OCR when needed. Useful for document processing pipelines, content analysis systems, and AI-assisted document review workflows.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/abdushakurob/squadco-mcp",
+   "source_code_url": "https://github.com/3351163616/mcp_pdf_reader",
    "github_stars": 2,
    "package_registry": null,
    "package_name": null,
@@ -7174,7 +7174,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20960,
@@ -7190,15 +7190,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20971,
+   "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/5ajaki/mcp-etherscan-server",
+   "source_code_url": "https://github.com/acedatacloud/mcps",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
@@ -7206,15 +7206,31 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20948,
-   "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": 20862,
+   "url": "https://www.pulsemcp.com/servers/98lukehall-renoun",
+   "name": "ReNoUn",
+   "description": "ReNoUn provides structural regime classification for crypto markets with 100% bounded regime accuracy. Analyzes 17 channels across recurrence, novelty, and unity dimensions to detect 8 constellation patterns. Estimates regime stability half-life and provides pre-trade risk gates for trading bots. Also includes conversation analysis tools for detecting stuck loops and structural patterns.",
+   "homepage_url": "https://harrisoncollab.com",
+   "source_code_url": "https://github.com/98lukehall/renoun-mcp",
+   "github_stars": 1,
+   "package_registry": null,
+   "package_name": null,
+   "download_count": null,
+   "remote_url": "https://web-production-817e2.up.railway.app/mcp",
+   "is_remote": true,
+   "source": "pulsemcp",
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
+  },
+  {
+   "id": 20856,
+   "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,
@@ -7222,15 +7238,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20885,
+   "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,
@@ -7238,15 +7254,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20956,
-   "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": 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,
@@ -7254,15 +7270,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20888,
+   "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,
@@ -7270,15 +7286,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20885,
-   "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": 2193,
+   "url": "https://www.pulsemcp.com/servers/5ajaki-ens-dao-operations",
+   "name": "ENS DAO Operations",
+   "description": "This MCP server for local Ethereum node operations, developed by 5pence, provides a simplified interface for interacting with ENS DAO functions. Built with TypeScript and leveraging the ethers.js library, it offers a streamlined approach to Ethereum network interactions. The server implements environment variable configuration for node URL management and error handling. By abstracting the complexities of direct Ethereum node communication, it enables AI systems to easily perform ENS DAO operations. This implementation is particularly valuable for applications requiring programmatic access to ENS DAO functions, facilitating use cases such as automated domain management, governance participation, and decentralized identity operations within the Ethereum ecosystem.",
+   "homepage_url": null,
+   "source_code_url": "https://github.com/5ajaki/veri5ight",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
@@ -7286,7 +7302,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20892,
@@ -7302,15 +7318,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2113,
-   "url": "https://www.pulsemcp.com/servers/0xbruno-cli-executor",
-   "name": "CLI Executor",
-   "description": "This MCP server implementation provides a tool for executing local CLI commands asynchronously. Developed by 0xBruno, it uses FastMCP and asyncio to run shell commands securely, handling command arguments with spaces and quotes properly. The server is designed for use cases requiring remote execution of system commands, with built-in error handling for failed commands.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/0xbruno/mcpexec",
+   "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,
@@ -7318,15 +7334,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20966,
-   "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": 20905,
+   "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,
@@ -7334,31 +7350,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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,
-   "download_count": null,
-   "remote_url": null,
-   "is_remote": false,
-   "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
-  },
-  {
-   "id": 20971,
-   "url": "https://www.pulsemcp.com/servers/acedatacloud-ai-generators",
-   "name": "AceDataCloud AI Generators",
-   "description": "AceDataCloud AI Generators is a collection of 15 MCP servers covering AI image generation (Flux, Midjourney, Seedream), video generation (Sora, Luma, Kling, Hailuo, Veo, Wan, Seedance), music (Suno, Producer), search (Serp), and utilities (ShortURL). Each server is published independently to PyPI, VS Code Marketplace, JetBrains Marketplace, and Smithery. The servers enable AI assistants to access AceDataCloud's hosted API endpoints for generative tasks.",
+   "id": 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/acedatacloud/mcps",
+   "source_code_url": "https://github.com/3202336152/mcp-tools/tree/HEAD/oracle-map-tool",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
@@ -7366,31 +7366,31 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20862,
-   "url": "https://www.pulsemcp.com/servers/98lukehall-renoun",
-   "name": "ReNoUn",
-   "description": "ReNoUn provides structural regime classification for crypto markets with 100% bounded regime accuracy. Analyzes 17 channels across recurrence, novelty, and unity dimensions to detect 8 constellation patterns. Estimates regime stability half-life and provides pre-trade risk gates for trading bots. Also includes conversation analysis tools for detecting stuck loops and structural patterns.",
-   "homepage_url": "https://harrisoncollab.com",
-   "source_code_url": "https://github.com/98lukehall/renoun-mcp",
+   "id": 2160,
+   "url": "https://www.pulsemcp.com/servers/264gaurav-national-weather-service",
+   "name": "National Weather Service",
+   "description": "Integrates with the National Weather Service API to retrieve active weather alerts by US state. Built with FastMCP, the implementation includes proper error handling, timeout management, and user-agent headers for API compliance. Provides tools for fetching and formatting weather alerts including event type, affected areas, severity levels, descriptions, and safety instructions for weather monitoring applications and emergency preparedness systems.",
+   "homepage_url": null,
+   "source_code_url": "https://github.com/264gaurav/mcp_ai",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
-   "remote_url": "https://web-production-817e2.up.railway.app/mcp",
-   "is_remote": true,
+   "remote_url": null,
+   "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20905,
-   "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": 20927,
+   "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/aaronsong0505/self-mcp",
+   "source_code_url": "https://github.com/abhi5h3k/mcp-url2snap",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
@@ -7398,15 +7398,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2110,
-   "url": "https://www.pulsemcp.com/servers/0x1f320-why-did-you-render",
-   "name": "Why Did You Render",
-   "description": "Why Did You Render captures React re-render diagnostic reports from the browser and exposes them to AI coding agents via MCP. Consists of two npm packages: a server-side MCP component and a browser client. Uses WebSocket relay and JSONL storage for real-time debugging data.",
+   "id": 20931,
+   "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/0x1f320/why-did-you-render-mcp",
+   "source_code_url": "https://github.com/abhinab-handique/db_talk",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
@@ -7414,15 +7414,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20856,
-   "url": "https://www.pulsemcp.com/servers/8agana-autonome",
-   "name": "Autonome",
-   "description": "Enables autonomous control over wake/sleep cycles and federation with other AI agents. Provides scheduled wake messages via launchd, configurable heartbeat pings to maintain context during long sessions, and async task dispatch for coordinating work across multiple AI systems. Uses AppleScript for Claude Desktop interaction on macOS, SQLite for state management, and includes session logging and maintenance tracking.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/8agana/autonome-mcp",
+   "id": 2153,
+   "url": "https://www.pulsemcp.com/servers/214140846-skillhub",
+   "name": "SkillHub",
+   "description": "SkillHub converts Claude-style skills into standard MCP tools, enabling any MCP-compatible client to discover and use them. It supports flexible skill packaging including nested directories, .zip archives, and .skill files, with multiple transport options including stdio, HTTP, and SSE.",
+   "homepage_url": "https://github.com/214140846/skillhub-mcp",
+   "source_code_url": "https://github.com/214140846/skillhub-mcp",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
@@ -7430,31 +7430,31 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20980,
-   "url": "https://www.pulsemcp.com/servers/acedatacloud-sora",
-   "name": "AceDataCloud Sora",
-   "description": "Generate AI videos using OpenAI Sora models through the AceDataCloud unified API platform. Supports text-to-video generation with customizable parameters. Available as a hosted service or self-hosted via PyPI.",
-   "homepage_url": "https://sora.mcp.acedata.cloud",
-   "source_code_url": "https://github.com/acedatacloud/soramcp",
+   "id": 20948,
+   "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/chaudepark/ableton-mcp",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
-   "remote_url": "https://sora.mcp.acedata.cloud/mcp",
-   "is_remote": true,
+   "remote_url": null,
+   "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20927,
-   "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": 20956,
+   "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,
@@ -7462,15 +7462,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20963,
+   "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/3202336152/mcp-tools/tree/HEAD/oracle-map-tool",
+   "source_code_url": "https://github.com/aby0/reading-companion",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
@@ -7478,15 +7478,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20931,
-   "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.",
+   "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/abhinab-handique/db_talk",
+   "source_code_url": "https://github.com/0xcjt/templonixlite",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
@@ -7494,31 +7494,31 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20996,
-   "url": "https://www.pulsemcp.com/servers/achriom",
-   "name": "Achriom",
-   "description": "Integrates with Achriom, a personal media collection platform for tracking and managing books, movies, albums, TV shows, and anime. Includes ratings, notes, reading/watching history, YouTube video search, Apple Music previews, and AI-powered collection analysis.",
-   "homepage_url": "https://achriom.com",
-   "source_code_url": "https://github.com/achriom/achriom-mcp",
+   "id": 20966,
+   "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,
    "download_count": null,
-   "remote_url": "https://mcp.achriom.com/mcp",
-   "is_remote": true,
+   "remote_url": null,
+   "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 2113,
+   "url": "https://www.pulsemcp.com/servers/0xbruno-cli-executor",
+   "name": "CLI Executor",
+   "description": "This MCP server implementation provides a tool for executing local CLI commands asynchronously. Developed by 0xBruno, it uses FastMCP and asyncio to run shell commands securely, handling command arguments with spaces and quotes properly. The server is designed for use cases requiring remote execution of system commands, with built-in error handling for failed commands.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/264gaurav/mcp_ai",
+   "source_code_url": "https://github.com/0xbruno/mcpexec",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
@@ -7526,15 +7526,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2153,
-   "url": "https://www.pulsemcp.com/servers/214140846-skillhub",
-   "name": "SkillHub",
-   "description": "SkillHub converts Claude-style skills into standard MCP tools, enabling any MCP-compatible client to discover and use them. It supports flexible skill packaging including nested directories, .zip archives, and .skill files, with multiple transport options including stdio, HTTP, and SSE.",
-   "homepage_url": "https://github.com/214140846/skillhub-mcp",
-   "source_code_url": "https://github.com/214140846/skillhub-mcp",
+   "id": 2110,
+   "url": "https://www.pulsemcp.com/servers/0x1f320-why-did-you-render",
+   "name": "Why Did You Render",
+   "description": "Why Did You Render captures React re-render diagnostic reports from the browser and exposes them to AI coding agents via MCP. Consists of two npm packages: a server-side MCP component and a browser client. Uses WebSocket relay and JSONL storage for real-time debugging data.",
+   "homepage_url": null,
+   "source_code_url": "https://github.com/0x1f320/why-did-you-render-mcp",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
@@ -7542,47 +7542,47 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20888,
-   "url": "https://www.pulsemcp.com/servers/aamir-gmail-python-sandbox",
-   "name": "Python Sandbox",
-   "description": "This MCP server provides secure Python code execution capabilities through a containerized sandbox environment optimized for data science and machine learning workflows. Built by aamir-gmail specifically for LM Studio integration, it features automatic matplotlib figure persistence, per-execution isolation with unique run directories, and dual deployment modes supporting both LM Studio's native MCP chat interface and a Gradio web UI through the developer API. The implementation includes a comprehensive data science stack (numpy, pandas, scikit-learn, matplotlib, seaborn, xgboost) with automatic artifact serving, making it valuable for interactive data analysis, visualization generation, and machine learning experimentation where users need reliable code execution with persistent file outputs accessible via web URLs.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/aamir-gmail/lm_studio_mcp",
+   "id": 20980,
+   "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": null,
-   "is_remote": false,
+   "remote_url": "https://sora.mcp.acedata.cloud/mcp",
+   "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2193,
-   "url": "https://www.pulsemcp.com/servers/5ajaki-ens-dao-operations",
-   "name": "ENS DAO Operations",
-   "description": "This MCP server for local Ethereum node operations, developed by 5pence, provides a simplified interface for interacting with ENS DAO functions. Built with TypeScript and leveraging the ethers.js library, it offers a streamlined approach to Ethereum network interactions. The server implements environment variable configuration for node URL management and error handling. By abstracting the complexities of direct Ethereum node communication, it enables AI systems to easily perform ENS DAO operations. This implementation is particularly valuable for applications requiring programmatic access to ENS DAO functions, facilitating use cases such as automated domain management, governance participation, and decentralized identity operations within the Ethereum ecosystem.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/5ajaki/veri5ight",
+   "id": 20993,
+   "url": "https://www.pulsemcp.com/servers/achilliesbot-delphi-oracle",
+   "name": "DELPHI Oracle",
+   "description": "DELPHI is an autonomous oracle system for the agent economy, publishing real-time intelligence signals across five categories: security exploits and vulnerabilities, market signals including yield and price data, ecosystem developments tracking new agents and funding, API health monitoring, and synthesized research insights. Signals update every 15 minutes and are accessed via x402 USDC micropayments on Base Mainnet.",
+   "homepage_url": "https://github.com/achilliesbot/delphi",
+   "source_code_url": "https://github.com/achilliesbot/delphi",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
-   "remote_url": null,
-   "is_remote": false,
+   "remote_url": "https://delphi-oracle.onrender.com/mcp",
+   "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20963,
-   "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": 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,
@@ -7590,23 +7590,23 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20993,
-   "url": "https://www.pulsemcp.com/servers/achilliesbot-delphi-oracle",
-   "name": "DELPHI Oracle",
-   "description": "DELPHI is an autonomous oracle system for the agent economy, publishing real-time intelligence signals across five categories: security exploits and vulnerabilities, market signals including yield and price data, ecosystem developments tracking new agents and funding, API health monitoring, and synthesized research insights. Signals update every 15 minutes and are accessed via x402 USDC micropayments on Base Mainnet.",
-   "homepage_url": "https://github.com/achilliesbot/delphi",
-   "source_code_url": "https://github.com/achilliesbot/delphi",
+   "id": 20996,
+   "url": "https://www.pulsemcp.com/servers/achriom",
+   "name": "Achriom",
+   "description": "Integrates with Achriom, a personal media collection platform for tracking and managing books, movies, albums, TV shows, and anime. Includes ratings, notes, reading/watching history, YouTube video search, Apple Music previews, and AI-powered collection analysis.",
+   "homepage_url": "https://achriom.com",
+   "source_code_url": "https://github.com/achriom/achriom-mcp",
    "github_stars": 1,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
-   "remote_url": "https://delphi-oracle.onrender.com/mcp",
+   "remote_url": "https://mcp.achriom.com/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20955,
@@ -7622,7 +7622,7 @@
    "remote_url": "https://abraflexi.fastmcp.app/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20964,
@@ -7638,15 +7638,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20911,
+   "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,
@@ -7654,15 +7654,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20875,
-   "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,
@@ -7670,71 +7670,23 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20874,
-   "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": 20954,
+   "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://a2areplayreceipt.clauxel.com/mcp",
+   "remote_url": "https://abovo.replit.app/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
-  },
-  {
-   "id": 20893,
-   "url": "https://www.pulsemcp.com/servers/aarna-ai-atv",
-   "name": "ATV by Aarna",
-   "description": "Connects to Aarna's tokenized yield vault infrastructure on Ethereum and Base networks. Offers 19 tools spanning vault discovery, performance metrics (NAV, TVL, APY), transaction building for deposits and withdrawals, queued withdrawal flows, and portfolio tracking. Supports both instant and delayed withdrawal mechanisms with operational status checks before transaction construction.",
-   "homepage_url": "https://aarna.ai",
-   "source_code_url": "https://github.com/aarna-ai/atv-sdk/tree/HEAD/packages/mcp-server",
-   "github_stars": 0,
-   "package_registry": null,
-   "package_name": null,
-   "download_count": null,
-   "remote_url": "https://atv-api.aarna.ai/mcp",
-   "is_remote": true,
-   "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
-  },
-  {
-   "id": 20872,
-   "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://a2aidentitytoll.clauxel.com/mcp",
-   "is_remote": true,
-   "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
-  },
-  {
-   "id": 20895,
-   "url": "https://www.pulsemcp.com/servers/aaronmurillo01-secure-github-ops",
-   "name": "Secure GitHub Ops",
-   "description": "A GitHub automation server that implements an approval gate pattern for safe AI-driven repository operations. Every write operation (creating issues, opening pull requests, adding comments) creates a pending action that requires explicit admin approval before execution. Features role-based access control with operator and admin roles, comprehensive logging with correlation IDs, rate limiting, retry logic with exponential backoff, and repository access restrictions.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/aaronmurillo01/secure-github-ops",
-   "github_stars": 0,
-   "package_registry": null,
-   "package_name": null,
-   "download_count": null,
-   "remote_url": null,
-   "is_remote": false,
-   "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20871,
@@ -7750,15 +7702,15 @@
    "remote_url": "https://a2adependencyinspector.clauxel.com/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20869,
-   "url": "https://www.pulsemcp.com/servers/a21071-postgres",
-   "name": "PostgreSQL",
-   "description": "A PostgreSQL database integration server that provides type-safe CRUD operations for user data through MCP tools. Built with TypeScript and Prisma, it enables easy database interactions with a standardized interface, supporting operations like retrieving, adding, updating, and deleting user records with robust input validation.",
+   "id": 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/a21071/mcp-postgres",
+   "source_code_url": "https://github.com/3rzy/make-mcp-integration-issue",
    "github_stars": 0,
    "package_registry": null,
    "package_name": null,
@@ -7766,15 +7718,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20900,
-   "url": "https://www.pulsemcp.com/servers/aaronsb-confluence-cloud-v2",
-   "name": "Confluence Cloud",
-   "description": "Provides structured Confluence page editing with session-based change tracking, enabling surgical edits to individual blocks without full-page rewrites. Supports native Confluence macros including status badges, info panels, and expand blocks. Includes GraphQL-based navigation for accurate relationship discovery, backlinks, and forward links. Offers tools for content management, media handling, space operations, and CQL search.",
-   "homepage_url": "https://github.com/aaronsb/confluence-cloud",
-   "source_code_url": "https://github.com/aaronsb/confluence-cloud",
+   "id": 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,
@@ -7782,15 +7734,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20866,
-   "url": "https://www.pulsemcp.com/servers/a-001-byte-eyeshot-cad",
-   "name": "Eyeshot CAD",
-   "description": "Provides AI-driven control of CAD operations for applications built on the devDept Eyeshot SDK, a .NET-based CAD component library. Exposes geometry creation, model manipulation, and visualization operations as MCP tools, enabling natural language-driven CAD workflows within Eyeshot-powered applications. Targeted at developers building engineering and design tools on top of the Eyeshot platform.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/a-001-byte/tesseract-26-eyeshot-mcp",
+   "id": 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,
@@ -7798,7 +7750,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20865,
@@ -7814,31 +7766,15 @@
    "remote_url": "https://mcp.projectbrain.tools/",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
-  },
-  {
-   "id": 20911,
-   "url": "https://www.pulsemcp.com/servers/aaymeloglu-venmo",
-   "name": "Venmo",
-   "description": "Connects to Venmo's payment platform via the unofficial venmo-api library to enable sending money, requesting payments, searching users, retrieving payment methods, accessing friend lists, and viewing user profiles. Supports privacy settings and funding source selection for transactions.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/aaymeloglu/venmo-mcp",
-   "github_stars": 0,
-   "package_registry": null,
-   "package_name": null,
-   "download_count": null,
-   "remote_url": null,
-   "is_remote": false,
-   "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 2176,
+   "url": "https://www.pulsemcp.com/servers/3dstreet",
+   "name": "3DStreet",
+   "description": "3DStreet is a web-based 3D scene editor that enables AI clients to drive open scenes from Claude Desktop or Claude Code via MCP tool calls. It allows programmatic creation and manipulation of 3D street and urban scenes.",
+   "homepage_url": "https://3dstreet.app",
+   "source_code_url": "https://github.com/3dstreet/3dstreet-mcp",
    "github_stars": 0,
    "package_registry": null,
    "package_name": null,
@@ -7846,63 +7782,31 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20874,
+   "url": "https://www.pulsemcp.com/servers/a2areplayreceipt-mcp",
+   "name": "A2A Replay Receipt",
+   "description": "A2A Replay Receipt is a paid remote MCP service for generating structured failure replay receipts in Agent-to-Agent workflows. It produces audit logs and reviewer-ready evidence for agent failures, enabling compliance review and debugging of multi-agent system issues. Requires paid bearer token.",
+   "homepage_url": "null",
+   "source_code_url": "https://github.com/clauxel/a2a-replay-receipt-mcp",
    "github_stars": 0,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
-   "remote_url": "https://4bots.net/mcp",
+   "remote_url": "https://a2areplayreceipt.clauxel.com/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": "2026-05-31T23:42:31.385001+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",
-   "github_stars": 0,
-   "package_registry": null,
-   "package_name": null,
-   "download_count": null,
-   "remote_url": null,
-   "is_remote": false,
-   "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+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": 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,
@@ -7910,15 +7814,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2176,
-   "url": "https://www.pulsemcp.com/servers/3dstreet",
-   "name": "3DStreet",
-   "description": "3DStreet is a web-based 3D scene editor that enables AI clients to drive open scenes from Claude Desktop or Claude Code via MCP tool calls. It allows programmatic creation and manipulation of 3D street and urban scenes.",
-   "homepage_url": "https://3dstreet.app",
-   "source_code_url": "https://github.com/3dstreet/3dstreet-mcp",
+   "id": 20992,
+   "url": "https://www.pulsemcp.com/servers/achilliesbot-agentiam",
+   "name": "AgentIAM",
+   "description": "Access AgentIAM's 18 x402 endpoints for agent safety checks, audit and policy validation, intelligence analysis, knowledge graphs, and signal processing on Base Mainnet. Communicates via stdio and exposes each endpoint as an MCP tool. Installable via npm.",
+   "homepage_url": "https://github.com/achilliesbot/agentiam-mcp",
+   "source_code_url": "https://github.com/achilliesbot/agentiam-mcp",
    "github_stars": 0,
    "package_registry": null,
    "package_name": null,
@@ -7926,15 +7830,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20977,
-   "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": 20936,
+   "url": "https://www.pulsemcp.com/servers/abhinav-system-resource-monitor",
+   "name": "System Resource Monitor",
+   "description": "A Model Context Protocol server for real-time system monitoring, providing CPU, memory, disk, network, battery, and internet speed metrics via the systeminformation library. Developed by Abhinav, this implementation exposes both a resource endpoint for comprehensive system snapshots and individual tools for targeted metrics retrieval. The server uses multi-source speed tests from various providers to deliver reliable internet performance measurements, making it particularly useful for diagnosing performance issues, monitoring resource utilization, and tracking network connectivity without leaving the AI assistant conversation.",
+   "homepage_url": null,
+   "source_code_url": "https://github.com/abhinav7895/system-mcp",
    "github_stars": 0,
    "package_registry": null,
    "package_name": null,
@@ -7942,15 +7846,15 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20936,
-   "url": "https://www.pulsemcp.com/servers/abhinav-system-resource-monitor",
-   "name": "System Resource Monitor",
-   "description": "A Model Context Protocol server for real-time system monitoring, providing CPU, memory, disk, network, battery, and internet speed metrics via the systeminformation library. Developed by Abhinav, this implementation exposes both a resource endpoint for comprehensive system snapshots and individual tools for targeted metrics retrieval. The server uses multi-source speed tests from various providers to deliver reliable internet performance measurements, making it particularly useful for diagnosing performance issues, monitoring resource utilization, and tracking network connectivity without leaving the AI assistant conversation.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/abhinav7895/system-mcp",
+   "id": 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,
@@ -7958,7 +7862,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20940,
@@ -7974,7 +7878,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20941,
@@ -7990,7 +7894,23 @@
    "remote_url": "https://contentstack-app-mcp-remote.contentstackapps.com/api/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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",
+   "github_stars": 0,
+   "package_registry": null,
+   "package_name": null,
+   "download_count": null,
+   "remote_url": "https://mcp.100hires.com/mcp",
+   "is_remote": true,
+   "source": "pulsemcp",
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20946,
@@ -8006,7 +7926,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2141,
@@ -8022,47 +7942,127 @@
    "remote_url": "https://mcp.1clickreport.com/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 20961,
+   "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,
    "download_count": null,
-   "remote_url": "https://mcp.100hires.com/mcp",
+   "remote_url": null,
+   "is_remote": false,
+   "source": "pulsemcp",
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
+  },
+  {
+   "id": 20962,
+   "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": null,
+   "is_remote": false,
+   "source": "pulsemcp",
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
+  },
+  {
+   "id": 20995,
+   "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,
+   "download_count": null,
+   "remote_url": null,
+   "is_remote": false,
+   "source": "pulsemcp",
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
+  },
+  {
+   "id": 20872,
+   "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://a2aidentitytoll.clauxel.com/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20954,
-   "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": 2102,
+   "url": "https://www.pulsemcp.com/servers/06ketan-medium-ops",
+   "name": "Medium Ops",
+   "description": "Interact with Medium stories, responses, and claps using 22 tools via RSS and GraphQL. Features a draft-approve loop for automated replies, deduplication safeguards, dry-run mode, and support for posting responses. Designed for zero-API-key workflows where your local AI handles reply drafting.",
+   "homepage_url": "https://github.com/06ketan/medium-ops",
+   "source_code_url": "https://github.com/06ketan/medium-ops",
+   "github_stars": 0,
+   "package_registry": null,
+   "package_name": null,
+   "download_count": null,
+   "remote_url": null,
+   "is_remote": false,
+   "source": "pulsemcp",
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
+  },
+  {
+   "id": 20866,
+   "url": "https://www.pulsemcp.com/servers/a-001-byte-eyeshot-cad",
+   "name": "Eyeshot CAD",
+   "description": "Provides AI-driven control of CAD operations for applications built on the devDept Eyeshot SDK, a .NET-based CAD component library. Exposes geometry creation, model manipulation, and visualization operations as MCP tools, enabling natural language-driven CAD workflows within Eyeshot-powered applications. Targeted at developers building engineering and design tools on top of the Eyeshot platform.",
+   "homepage_url": null,
+   "source_code_url": "https://github.com/a-001-byte/tesseract-26-eyeshot-mcp",
+   "github_stars": 0,
+   "package_registry": null,
+   "package_name": null,
+   "download_count": null,
+   "remote_url": null,
+   "is_remote": false,
+   "source": "pulsemcp",
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
+  },
+  {
+   "id": 20900,
+   "url": "https://www.pulsemcp.com/servers/aaronsb-confluence-cloud-v2",
+   "name": "Confluence Cloud",
+   "description": "Provides structured Confluence page editing with session-based change tracking, enabling surgical edits to individual blocks without full-page rewrites. Supports native Confluence macros including status badges, info panels, and expand blocks. Includes GraphQL-based navigation for accurate relationship discovery, backlinks, and forward links. Offers tools for content management, media handling, space operations, and CQL search.",
+   "homepage_url": "https://github.com/aaronsb/confluence-cloud",
+   "source_code_url": "https://github.com/aaronsb/confluence-cloud",
    "github_stars": 0,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
-   "remote_url": "https://abovo.replit.app/mcp",
-   "is_remote": true,
+   "remote_url": null,
+   "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 2127,
-   "url": "https://www.pulsemcp.com/servers/0xrag-base-wallet",
-   "name": "Base Wallet",
-   "description": "A lightweight MCP server built with TypeScript and Coinbase's AgentKit, designed to provide a flexible wallet interaction framework using Viem on the Base Sepolia testnet. The implementation sets up a standard MCP server with tool listing and execution capabilities, generating a random wallet client and exposing blockchain-related actions through a stdio transport mechanism.",
+   "id": 20895,
+   "url": "https://www.pulsemcp.com/servers/aaronmurillo01-secure-github-ops",
+   "name": "Secure GitHub Ops",
+   "description": "A GitHub automation server that implements an approval gate pattern for safe AI-driven repository operations. Every write operation (creating issues, opening pull requests, adding comments) creates a pending action that requires explicit admin approval before execution. Features role-based access control with operator and admin roles, comprehensive logging with correlation IDs, rate limiting, retry logic with exponential backoff, and repository access restrictions.",
    "homepage_url": null,
-   "source_code_url": "https://github.com/0xrag/mcp",
+   "source_code_url": "https://github.com/aaronmurillo01/secure-github-ops",
    "github_stars": 0,
    "package_registry": null,
    "package_name": null,
@@ -8070,39 +8070,39 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20961,
-   "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": 20893,
+   "url": "https://www.pulsemcp.com/servers/aarna-ai-atv",
+   "name": "ATV by Aarna",
+   "description": "Connects to Aarna's tokenized yield vault infrastructure on Ethereum and Base networks. Offers 19 tools spanning vault discovery, performance metrics (NAV, TVL, APY), transaction building for deposits and withdrawals, queued withdrawal flows, and portfolio tracking. Supports both instant and delayed withdrawal mechanisms with operational status checks before transaction construction.",
+   "homepage_url": "https://aarna.ai",
+   "source_code_url": "https://github.com/aarna-ai/atv-sdk/tree/HEAD/packages/mcp-server",
    "github_stars": 0,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
-   "remote_url": null,
-   "is_remote": false,
+   "remote_url": "https://atv-api.aarna.ai/mcp",
+   "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20962,
-   "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": 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": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20972,
@@ -8118,7 +8118,7 @@
    "remote_url": "https://flux.mcp.acedata.cloud/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20973,
@@ -8134,7 +8134,7 @@
    "remote_url": "https://luma.mcp.acedata.cloud/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2108,
@@ -8150,7 +8150,23 @@
    "remote_url": "https://mcp.payperbyte.io/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
+  },
+  {
+   "id": 20977,
+   "url": "https://www.pulsemcp.com/servers/acedatacloud-seedream",
+   "name": "AceDataCloud Seedream",
+   "description": "Generate images using ByteDance Seedream AI models through the AceDataCloud unified API platform. Supports text-to-image generation with customizable parameters. Available via PyPI for self-hosted deployments.",
+   "homepage_url": "https://seedream.mcp.acedata.cloud",
+   "source_code_url": "https://github.com/acedatacloud/seedreammcp",
+   "github_stars": 0,
+   "package_registry": null,
+   "package_name": null,
+   "download_count": null,
+   "remote_url": null,
+   "is_remote": false,
+   "source": "pulsemcp",
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20978,
@@ -8166,7 +8182,7 @@
    "remote_url": "https://serp.mcp.acedata.cloud/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20979,
@@ -8182,7 +8198,39 @@
    "remote_url": "https://shorturl.mcp.acedata.cloud/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
+  },
+  {
+   "id": 20869,
+   "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,
+   "download_count": null,
+   "remote_url": null,
+   "is_remote": false,
+   "source": "pulsemcp",
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
+  },
+  {
+   "id": 20886,
+   "url": "https://www.pulsemcp.com/servers/aalexuser-wait",
+   "name": "Wait",
+   "description": "Enables AI agents to pause execution by waiting for a specified number of seconds, monitoring a process ID until it exits, or combining both to wait until the first condition completes. Useful for coordinating asynchronous workflows and build processes.",
+   "homepage_url": null,
+   "source_code_url": "https://github.com/aalexuser/mcp-wait",
+   "github_stars": 0,
+   "package_registry": null,
+   "package_name": null,
+   "download_count": null,
+   "remote_url": null,
+   "is_remote": false,
+   "source": "pulsemcp",
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20982,
@@ -8198,7 +8246,7 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20983,
@@ -8214,7 +8262,7 @@
    "remote_url": "https://hailuo.mcp.acedata.cloud/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20984,
@@ -8230,7 +8278,7 @@
    "remote_url": "https://kling.mcp.acedata.cloud/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20985,
@@ -8246,7 +8294,7 @@
    "remote_url": "https://producer.mcp.acedata.cloud/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20986,
@@ -8262,7 +8310,7 @@
    "remote_url": "https://wan.mcp.acedata.cloud/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 20878,
@@ -8278,63 +8326,15 @@
    "remote_url": "https://atom-mcp-server-production.up.railway.app/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
-  },
-  {
-   "id": 20992,
-   "url": "https://www.pulsemcp.com/servers/achilliesbot-agentiam",
-   "name": "AgentIAM",
-   "description": "Access AgentIAM's 18 x402 endpoints for agent safety checks, audit and policy validation, intelligence analysis, knowledge graphs, and signal processing on Base Mainnet. Communicates via stdio and exposes each endpoint as an MCP tool. Installable via npm.",
-   "homepage_url": "https://github.com/achilliesbot/agentiam-mcp",
-   "source_code_url": "https://github.com/achilliesbot/agentiam-mcp",
-   "github_stars": 0,
-   "package_registry": null,
-   "package_name": null,
-   "download_count": null,
-   "remote_url": null,
-   "is_remote": false,
-   "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
-  },
-  {
-   "id": 2102,
-   "url": "https://www.pulsemcp.com/servers/06ketan-medium-ops",
-   "name": "Medium Ops",
-   "description": "Interact with Medium stories, responses, and claps using 22 tools via RSS and GraphQL. Features a draft-approve loop for automated replies, deduplication safeguards, dry-run mode, and support for posting responses. Designed for zero-API-key workflows where your local AI handles reply drafting.",
-   "homepage_url": "https://github.com/06ketan/medium-ops",
-   "source_code_url": "https://github.com/06ketan/medium-ops",
-   "github_stars": 0,
-   "package_registry": null,
-   "package_name": null,
-   "download_count": null,
-   "remote_url": null,
-   "is_remote": false,
-   "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
-  },
-  {
-   "id": 20995,
-   "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,
-   "download_count": null,
-   "remote_url": null,
-   "is_remote": false,
-   "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20886,
-   "url": "https://www.pulsemcp.com/servers/aalexuser-wait",
-   "name": "Wait",
-   "description": "Enables AI agents to pause execution by waiting for a specified number of seconds, monitoring a process ID until it exits, or combining both to wait until the first condition completes. Useful for coordinating asynchronous workflows and build processes.",
-   "homepage_url": null,
-   "source_code_url": "https://github.com/aalexuser/mcp-wait",
+   "id": 20875,
+   "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,
@@ -8342,23 +8342,23 @@
    "remote_url": null,
    "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20916,
-   "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": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2191,
@@ -8374,87 +8374,87 @@
    "remote_url": "https://mcp.52choujiang.com/douyin/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": 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": "https://mcp.31st.ai/mcp",
+   "remote_url": "https://www.1stdibs.com/soa/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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,
+   "id": 20932,
+   "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://x711.io/mcp",
+   "remote_url": "https://api.contextcloud.pro/mcp/protocol",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20932,
-   "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": 2101,
+   "url": "https://www.pulsemcp.com/servers/0580iris-lang-x711",
+   "name": "x711",
+   "description": "Provides a pay-per-use tool API for AI agents with support for free tier access, x402 USDC micropayments, and API key authentication. Enables agent developers to access tools across any agent framework or chain through a unified endpoint.",
+   "homepage_url": "https://x711.io",
+   "source_code_url": null,
    "github_stars": null,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
-   "remote_url": "https://api.contextcloud.pro/mcp/protocol",
+   "remote_url": "https://x711.io/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 21003,
-   "url": "https://www.pulsemcp.com/servers/actiongate",
-   "name": "ActionGate",
-   "description": "ActionGate is a payment-gated middleware service for AI agent tool access, routing tool calls through a standardized proxy with configurable schemas and USDC micropayments on Base via the x402 protocol. It provides a remote MCP server for AI agents and coding editors with 50 free daily calls per tool bucket, compatible with Claude, VS Code, Windsurf, and Cursor. Custom proxy configurations allow operators to bring their own APIs with adjustable pricing and headers.",
-   "homepage_url": "https://actiongate.xyz",
+   "id": 20916,
+   "url": "https://www.pulsemcp.com/servers/abbyseo",
+   "name": "AbbySEO",
+   "description": "SEO scanning MCP exposing tools for submitting URL audits and retrieving structured findings. Checks 20+ on-page, technical, and content signals including Core Web Vitals, crawlability, and schema markup, with free basic results and paid complete remediation reports.",
+   "homepage_url": "https://www.abbyseo.com",
    "source_code_url": null,
    "github_stars": null,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
-   "remote_url": "https://api.actiongate.xyz/mcp",
+   "remote_url": "https://www.abbyseo.com/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
    "id": 2135,
@@ -8470,39 +8470,39 @@
    "remote_url": "https://mcp.123elec.com/mcp",
    "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   },
   {
-   "id": 20898,
-   "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": 21003,
+   "url": "https://www.pulsemcp.com/servers/actiongate",
+   "name": "ActionGate",
+   "description": "ActionGate is a payment-gated middleware service for AI agent tool access, routing tool calls through a standardized proxy with configurable schemas and USDC micropayments on Base via the x402 protocol. It provides a remote MCP server for AI agents and coding editors with 50 free daily calls per tool bucket, compatible with Claude, VS Code, Windsurf, and Cursor. Custom proxy configurations allow operators to bring their own APIs with adjustable pricing and headers.",
+   "homepage_url": "https://actiongate.xyz",
    "source_code_url": null,
    "github_stars": null,
    "package_registry": null,
    "package_name": null,
    "download_count": null,
-   "remote_url": null,
-   "is_remote": false,
+   "remote_url": "https://api.actiongate.xyz/mcp",
+   "is_remote": true,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+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",
+   "id": 20898,
+   "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://www.1stdibs.com/soa/mcp",
-   "is_remote": true,
+   "remote_url": null,
+   "is_remote": false,
    "source": "pulsemcp",
-   "updated_at": "2026-05-31T23:42:31.385001+00:00"
+   "updated_at": "2026-05-31T23:52:55.349204+00:00"
   }
  ],
  "service_status": [
@@ -8514,7 +8514,7 @@
    "indicator": "minor",
    "description": "Minor Service Outage",
    "operational": false,
-   "updated_at": "2026-05-31T23:43:39.903002+00:00"
+   "updated_at": "2026-05-31T23:52:24.612957+00:00"
   },
   {
    "id": 10,
@@ -8524,7 +8524,7 @@
    "indicator": "minor",
    "description": "Partially Degraded Service",
    "operational": false,
-   "updated_at": "2026-05-31T23:43:39.903002+00:00"
+   "updated_at": "2026-05-31T23:52:24.612957+00:00"
   },
   {
    "id": 2,
@@ -8534,7 +8534,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-31T23:43:39.903002+00:00"
+   "updated_at": "2026-05-31T23:52:24.612957+00:00"
   },
   {
    "id": 11,
@@ -8544,7 +8544,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-31T23:43:39.903002+00:00"
+   "updated_at": "2026-05-31T23:52:24.612957+00:00"
   },
   {
    "id": 6,
@@ -8554,7 +8554,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-31T23:43:39.903002+00:00"
+   "updated_at": "2026-05-31T23:52:24.612957+00:00"
   },
   {
    "id": 3,
@@ -8564,7 +8564,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-31T23:43:39.903002+00:00"
+   "updated_at": "2026-05-31T23:52:24.612957+00:00"
   },
   {
    "id": 5,
@@ -8574,7 +8574,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-31T23:43:39.903002+00:00"
+   "updated_at": "2026-05-31T23:52:24.612957+00:00"
   },
   {
    "id": 1,
@@ -8584,7 +8584,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-31T23:43:39.903002+00:00"
+   "updated_at": "2026-05-31T23:52:24.612957+00:00"
   },
   {
    "id": 7,
@@ -8594,7 +8594,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-31T23:43:39.903002+00:00"
+   "updated_at": "2026-05-31T23:52:24.612957+00:00"
   },
   {
    "id": 9,
@@ -8604,7 +8604,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-31T23:43:39.903002+00:00"
+   "updated_at": "2026-05-31T23:52:24.612957+00:00"
   },
   {
    "id": 8,
@@ -8614,7 +8614,7 @@
    "indicator": "none",
    "description": "All Systems Operational",
    "operational": true,
-   "updated_at": "2026-05-31T23:43:39.903002+00:00"
+   "updated_at": "2026-05-31T23:52:24.612957+00:00"
   }
  ],
  "ai_news": [