
Llmmcp
Pulls live documentation from OpenAI, Anthropic, and Google Gemini APIs into your editor so your LLM stops generating outdated code patterns or hallucinating about model capabilities. Exposes two tools: search_docs for querying specific implementation details (like tool use syntax or rate limits), and list_providers for current model availability. The backend scrapes official docs weekly, chunks them into a Pinecone vector database, and serves results through a Cloudflare Worker with KV caching. Works via npx so there's no local setup. Reach for this when you're tired of Claude suggesting deprecated library methods or Cursor confidently citing models that don't exist yet.
- GitHub stars
- 6
- tools
- 2
- last updated
- Feb 18, 2026
Tools
2 toolsPublic tool metadata for what this MCP can expose to an agent.
search_docsSearch the latest official documentation for specific technical details.
Search the latest official documentation for specific technical details.
No parameter schema in public metadata yet.
list_providersGet a dynamically updated list of available providers (OpenAI, Anthropic, Google) and their currently promoted models.
Get a dynamically updated list of available providers (OpenAI, Anthropic, Google) and their currently promoted models.
No parameter schema in public metadata yet.
Sponsors
Readme
llmmcp
🌐 Website: https://llmmcp.vercel.app
🎥 Demo:
https://github.com/user-attachments/assets/eaad8d05-b7a8-4bf0-86c6-4fe2726da628
Stop LLM hallucinations and outdated code patterns.
llmmcp is a Model Context Protocol (MCP) server that provides real-time, up-to-date documentation for major LLM providers (OpenAI, Anthropic, and Google Gemini). It ensures your AI agents—like Cursor, Claude Desktop, or Windsurf—base their work on current official documentation instead of stale training data or deprecated library patterns.
Details
- Repository
- github.com/zero-abd/llmmcp
- Category
- AI & LLM Tools
- Registry
- MCP registry, active