Put an end to code hallucinations! GitMCP is a free, open-source remote MCP server that turns any GitHub repo or GitHub-Pages site into an AI-readable documentation hub.
https://github.com/idosal/git-mcpYour AI coding assistant just got connected to the real world. GitMCP is a remote MCP server that gives Claude, Cursor, and other AI tools instant access to any GitHub repository's current documentation and code – eliminating those frustrating moments when your AI generates plausible-looking but completely wrong API calls.
You're working with a library, and your AI assistant confidently generates code that looks perfect. You run it, and... nothing works. The API changed, the method doesn't exist, or the syntax is from three versions ago. Your AI is working from stale training data while you need answers about today's codebase.
This happens constantly with newer libraries, rapidly evolving frameworks, or any project that wasn't extensively covered in training data. Your AI hallucinates confident answers instead of admitting it doesn't know the current state.
GitMCP bridges this gap by giving your AI assistant direct access to live GitHub repositories. Instead of guessing, your AI can fetch the actual documentation, search through current code, and provide answers based on what's actually there right now.
Here's what changes:
The side-by-side comparison in their demo shows the stark difference: without GitMCP, AI generates outdated Three.js code that doesn't work; with GitMCP, it produces current, functional examples.
Most developer tools require installation, configuration, and maintenance. GitMCP runs entirely in the cloud – you just add a URL to your AI tool's MCP configuration and you're connected.
Two connection patterns:
gitmcp.io/microsoft/typescript gives your AI dedicated access to TypeScript docsgitmcp.io/docs lets your AI access any repository contextually during conversationsAdd this to your Cursor config and you're done:
{
"mcpServers": {
"gitmcp": {
"url": "https://gitmcp.io/microsoft/typescript"
}
}
}
Working with cutting-edge frameworks: Ask Claude about implementing LangGraph memory, and it pulls current documentation from the LangGraph repository instead of making educated guesses about APIs that might have changed.
Exploring new libraries: Need to understand how OpenAI's Whisper model works? Your AI can fetch and analyze the actual repository structure, documentation, and implementation details.
Debugging complex integrations: When working with libraries like Playwright MCP or any specialized tool, your AI can search through real code examples and current documentation rather than hallucinating solutions.
GitMCP doesn't require authentication, doesn't store your queries, and only accesses public information that's already available. You can even self-host it since it's fully open source. The service respects robots.txt and only accesses content when you explicitly request it.
AI-assisted development is becoming standard, but AI hallucinations remain a massive productivity killer. GitMCP solves this foundational problem by connecting your AI to current, accurate information sources.
The project's rapid adoption (3,100+ stars, 220+ forks) reflects how critical this capability is. Developers immediately recognize the value when their AI stops making up APIs and starts referencing real documentation.
Your AI will automatically use GitMCP's tools to fetch documentation, search code, and provide grounded answers instead of hallucinated ones.
Works with Cursor, Claude Desktop, Windsurf, VSCode, and any MCP-compatible AI tool. No downloads, no setup process, no API keys required.
GitMCP is open source and free to use. Add it to your workflow in under 60 seconds and experience AI development without hallucinations.