What is GitMCP?
Navigating complex codebases or extensive documentation on GitHub can be time-consuming. While AI assistants offer help, they often lack the specific context of your project, leading to generic advice. GitMCP bridges this gap effortlessly. It instantly creates a dedicated Model Context Protocol (MCP) server for any public GitHub repository or GitHub Pages site, allowing your AI tools to gain a deep understanding of the project's specifics.
Imagine your AI assistant not just answering general coding questions, but providing insights directly related to the functions, documentation, and structure of the exact repository you're working with. That's what GitMCP enables, simply by changing github.com or github.io to gitmcp.io in the URL.
Key Features
Here’s how GitMCP enhances your workflow:
🔌 Instant MCP Endpoint Creation: Transform any public GitHub repository URL (e.g.,
github.com/owner/repo) into an MCP endpoint (gitmcp.io/owner/repo) or a GitHub Pages URL (e.g.,owner.github.io/repo) into (owner.gitmcp.io/repo). No complex setup, installations, or repository modifications are required.🧠 Deeper AI Understanding: Allow your AI assistant to access and comprehend project context by reading key files like
llms.txt,llms-full.txt, orREADME.md. This direct insight leads to significantly more relevant and accurate responses from your AI.🔍 Efficient Semantic Search: GitMCP provides semantic search capabilities over the repository's documentation. This helps your AI assistant find the most relevant information quickly, optimizing token usage and improving the efficiency of your interactions.
🌐 Universal Compatibility: Works seamlessly with any public GitHub repository and GitHub Pages site. It integrates directly with popular AI assistants and tools that support the Model Context Protocol, such as Cursor, Claude, Windsurf, and VSCode Insiders.
✨ Dynamic Repository Access: Use the
gitmcp.io/docsendpoint to let your AI assistant dynamically access context from any public GitHub repository on the fly, without needing a pre-configured GitMCP URL for each one.💖 Free, Private, and Open-Source: GitMCP is completely free to use. It does not collect personally identifiable information or your queries, ensuring privacy. As an open-source project (MIT License), you can inspect the code or even host it yourself for full control.
How GitMCP Works in Practice
Let's look at how you might use GitMCP:
Debugging with Context: You're working with code from
https://github.com/octocat/Spoon-Knife. You encounter an issue specific to its structure. You provide your AI coding assistant (like Cursor) the context URLhttps://gitmcp.io/octocat/Spoon-Knife. Now, when you ask for debugging help, the AI's suggestions are tailored to the actual code in that repository.Understanding Project Documentation: You need to understand how to use a feature documented in LangGraph's GitHub Pages site at
https://langchain-ai.github.io/langgraph/. You configure your AI assistant (like Claude) to usehttps://langchain-ai.gitmcp.io/langgraphas a context source. Your questions about usage are now answered based directly on the project's official documentation, providing accurate guidance.Exploring Multiple Repositories: You're researching different approaches to a problem across several open-source projects. Instead of setting up each repository individually, you use the dynamic endpoint
https://gitmcp.io/docswith your AI tool. Your AI can then prompt you for a GitHub URL as needed, pulling context from various repositories seamlessly during your research session.
Get Started with Smarter AI Assistance
GitMCP offers a straightforward path to making your AI assistants significantly more helpful when working with GitHub projects. By providing instant, relevant context without any setup hassle, it allows you to leverage AI more effectively for coding, documentation queries, and project understanding. It's free, respects your privacy, and integrates easily into your existing development workflow.
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