Summary
Pulls live documentation from OpenAI, Anthropic, and Google Gemini APIs into your editor so your LLM stops generating outdated code patterns or hallucinating about model capabilities.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.
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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Stop LLM hallucinations and outdated code patterns.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.
Why use llmmcp?
LLMs frequently hallucinate about their own latest versions, feature availability (e.g., tool use in certain models), and pricing. llmmcp fixes this by providing:
- ✅ Up-to-Date Model Info: Always know the latest available models (e.g., Gemini 2.0 Flash, Claude 3.5 Sonnet).
- ✅ Detailed API Params: Verified tool use syntax, context window sizes, and rate limits.
- ✅ Latest Implementation Patterns: Force your AI agent to follow current best practices instead of using legacy or deprecated library versions.
- ✅ Real-Time Search: Queries an indexed vector database of official provider documentation.
- ✅ Dynamic Listings: Get the current state of providers without hardcoded lists.
🚀 Quick Start
You can use llmmcp immediately in your favorite AI tools without local installation.
Cursor
Add a new MCP server in Settings > Models > MCP Servers:
- Name:
llmmcp - Type:
command - Command:
npx -y llmmcp@latest
Claude Desktop
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"llmmcp": {
"command": "npx",
"args": ["-y", "llmmcp@latest"]
}
}
}
🛠 Features
search_docs
Search the latest official documentation for specific technical details. Example: "What are the tool use parameters for Gemini 1.5 Pro?"
list_providers
Get a dynamically updated list of available providers (OpenAI, Anthropic, Google) and their currently promoted models.
🏗 How it Works
llmmcp is designed for speed and reliability:
- Indexer: A weekly scraper fetches raw markdown/text from official documentation.
- Vector DB: Chunks are embedded and stored in Pinecone with integrated embedding support.
- Backend: A Cloudflare Worker handles query embedding and retrieval, caching frequent results in Workers KV.
- MCP Client: A thin CLI translates MCP requests into API calls for the Worker.
🤝 Contributing & Self-Hosting
This project is open-source. If you'd like to run your own instance of the backend:
- See Architecture & Deployment (coming soon, see current setup in logs).
- Fork the repo and submit a PR for new documentation sources.
Developed by Abdullah Al Mahmud
License
MIT
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
