GitMCP is a remote Model Context Protocol server that connects AI tools to GitHub repositories for real-time documentation and code access.
The tool addresses code hallucinations in AI assistants by providing direct access to up-to-date documentation and source code from any GitHub project. Rather than relying on training data that may be outdated or incomplete, GitMCP acts as a bridge between AI tools like Cursor and Claude and live GitHub repositories. It includes smart search capabilities designed to retrieve relevant information efficiently without consuming excessive tokens. The service operates entirely in the cloud with zero setup required—developers simply add a GitMCP URL as an MCP server in their IDE.
GitMCP offers two deployment modes suited to different workflows. The specific repository flavor targets a single project, ensuring the AI assistant always accesses the correct codebase and enhancing security by preventing unintended repository access. The generic server mode provides flexibility for developers who frequently switch between multiple repositories, though it relies on the AI correctly identifying which repository to query for each request. This tool is particularly valuable for teams working with niche libraries, rapidly evolving projects, or frameworks released after an AI model's training cutoff. The project is open-source, free to use, collects no personal information, and can be self-hosted for those preferring local deployment.
The project maintains active development with regular updates to support new GitHub projects and improve search accuracy. The codebase is written in TypeScript and development appears focused on expanding compatibility across different AI tools and IDEs while refining the token efficiency of documentation retrieval.
