Labsco
idosal logo

GitMCP

β˜… 8,200

from idosal

Transforms any GitHub project into a documentation hub, enabling AI tools to access up-to-date documentation and code.

πŸ”₯πŸ”₯πŸ”₯πŸ”₯βœ“ VerifiedFreeAdvanced setup

GitMCP

What is GitMCP β€’ Features β€’ Getting Started β€’ How It Works β€’ Badge β€’ Examples β€’ FAQ β€’ Privacy β€’ Contributing β€’ License

πŸ€” What is GitMCP?

Stop vibe-hallucinating and start vibe-coding!

GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that transforms any GitHub project (repositories or GitHub pages) into a documentation hub. It enables AI tools like Cursor to access up-to-date documentation and code, even if the LLM has never encountered them, thereby eliminating code hallucinations seamlessly.

GitMCP supports two flavors -

  • Specific Repository (gitmcp.io/{owner}/{repo} or {owner}.gitmcp.io/{repo}): Use these when you primarily work with a select number of libraries. This ensures your AI assistant always targets the correct project, enhancing security and relevance by preventing access to unintended repositories.

  • Generic Server (gitmcp.io/docs): Use this for maximum flexibility when you need to switch between different repositories frequently. The AI assistant will prompt you (or decide based on context) which repository to access for each request. Be mindful that this relies on correctly identifying the target repository each time.

With GitMCP:

  • AI assistants access the latest documentation and code directly from the source.

  • Get accurate API usage and reliable code examples.

  • Work effectively even with niche, new, or rapidly changing libraries.

  • Significantly reduced hallucinations and improved code correctness.

For example, this side-by-side comparison shows the result for the same one-shot prompt in Cursor when creating a three.js scene -

https://github.com/user-attachments/assets/fbf1b4a7-f9f0-4c0e-831c-4d64faae2c45

✨ Features

  • 😎 Latest Documentation on ANY GitHub Project: Grant your AI assistant seamless access to the GitHub project's documentation and code. The built-in smart search capabilities help find exactly what the AI needs without using too many tokens!

  • 🧠 No More Hallucinations: With GitMCP, your AI assistant can provide accurate and relevant answers to your questions.

  • ☁️ Zero Setup: GitMCP runs in the cloud. Simply add the chosen GitMCP URL as an MCP server in your IDE β€” no downloads, installations, signups, or changes are required.

  • πŸ’¬ Embedded Chat: Start quickly by chatting directly with the repository's documentation through our in-browser chat!

  • βœ… Open, Free, and Private: GitMCP is open-source and completely free to use. It doesn't collect personal information or store queries. You can even self-host it!

βš™ How It Works

GitMCP connects your AI assistant to GitHub repositories using the Model Context Protocol (MCP), a standard that lets AI tools request additional information from external sources.

What happens when you use GitMCP:

  • You provide the GitMCP URL to your AI assistant (e.g., gitmcp.io/microsoft/typescript). GitMCP exposes tools like documentation fetching, smart search, code search, etc.

  • Prompt the AI assistant on documentation/code-related questions.

  • Your AI sends requests to GitMCP to use its tools (with your approval).

  • GitMCP executes the AI's request and returns the requested data.

  • Your AI receives the information and generates a more accurate, grounded response without hallucinations.

Supported Documentation

GitMCP currently supports the following documents (in order of priority):

  • llms.txt

  • AI-optimized version of the project's documentation

  • README.md/root

πŸ’‘ Examples

Here are some examples of how to use GitMCP with different AI assistants and repositories:

Example 1: Using Windsurf with a specific repository

For the GitHub repository https://github.com/microsoft/playwright-mcp, add https://gitmcp.io/microsoft/playwright-mcp as an MCP server to Windsurf.

Prompt to Claude:

"How do I use the Playwright MCP"

Windsurf will pull the relevant documentation from GitMCP to implement the memory feature correctly.

Example 2: Using Cursor with a GitHub Pages site

For the GitHub Pages site langchain-ai.github.io/langgraph, add https://langchain-ai.gitmcp.io/langgraph as an MCP server to Cursor.

Prompt to Cursor:

"Add memory to my LangGraph agent"

Cursor will pull the relevant documentation and code from GitMCP to correctly implement the memory feature.

Example 3: Using Claude Desktop with the dynamic endpoint

You don't have to pick specific repositories. The generic gitmcp.io/docs endpoint allows AI to pick the GitHub project on the fly!

Prompt to any AI assistant:

"I want to learn about the OpenAI Whisper speech recognition model. Explain how it works."

Claude will pull the data from GitMCP and answer the question.

πŸ› οΈ Tools

GitMCP provides AI assistants with several valuable tools to help them access, understand, and query GitHub repositories.

fetch_<repo-name>_documentation

This tool gets the primary documentation from a GitHub repository. It works by retrieving relevant documentation (e.g., llms.txt). This gives the AI a good overview of what the project is about

When it's useful: For general questions about a project's purpose, features, or how to get started

search_<repo-name>_documentation

This tool lets the AI search through a repository's documentation by providing a specific search query. Instead of loading all the documentation (which could be very large), it uses intelligent search to find just the relevant parts.

When it's useful: For specific questions about particular features, functions, or concepts within a project

fetch_url_content

This tool helps the AI get information from links mentioned in the documentation. It retrieves the content from those links and converts it to a format the AI can easily read.

When it's useful: When documentation references external information that would help answer your question

search_<repo-name>_code

This tool searches through the actual code in the repository using GitHub's code search. It helps AI find specific code examples or implementation details.

When it's useful: When you want examples of how something is implemented or need technical details not covered in documentation

Note: When using the dynamic endpoint (gitmcp.io/docs), these tools are named slightly differently (fetch_generic_documentation, search_generic_code, and search_generic_documentation) and need additional information about which repository to access.

πŸ“Š Badge

GitMCP has a badge for your repository's README. It allows users to quickly access your documentation through their IDE or browser (using the embedded chat). It also showcases how many times your documentation has been accessed through GitMCP.

Example (idosal/git-mcp):

Adding the Badge to Your Repository

Add the following to your README.md:

Copy & paste β€” that's it
[![GitMCP](https://img.shields.io/endpoint?url=https://gitmcp.io/badge/OWNER/REPO)](https://gitmcp.io/OWNER/REPO)

Replace OWNER with your GitHub username or organization, and REPO with your repository name.

How We Count Views

Increment for each tool call on the specific repository.

Customizing the Badge

You can customize the badge's appearance with parameters:

Parameter Description Default Example color Color for the badge value aquamarine ?color=green label Badge label GitMCP Documentation

Please reach out if you need help!

πŸ”’ Privacy

GitMCP is deeply committed to its users' privacy. The service doesn't have access to or store any personally identifiable information as it doesn't require authentication. In addition, it doesn't store any queries sent by the agents. Moreover, as GitMCP is an open-source project, it can be deployed independently in your environment.

GitMCP only accesses content that is already publicly available and only when queried by a user. GitMCP does not automatically scrape repositories. Before accessing any GitHub Pages site, the code checks for robots.txt rules and follows the directives set by site owners, allowing them to opt out. Please note that GitMCP doesn't permanently store data regarding the GitHub projects or their content.

πŸ‘₯ Contributing

We welcome contributions, feedback, and ideas! Please review our contribution guidelines.

Local Development Setup

Clone the repository

Copy & paste β€” that's it
git clone https://github.com/idosal/git-mcp.git
cd git-mcp

Install dependencies

Copy & paste β€” that's it
pnpm install

Run locally for development

Copy & paste β€” that's it
npm run dev
# or
pnpm dev

Using MCP Inspector for Testing

Install the MCP Inspector tool:

Copy & paste β€” that's it
npx @modelcontextprotocol/inspector

In the inspector interface:

  • Set Transport Type to SSE

  • Enter your GitMCP URL (e.g., http://localhost:5173/docs)

  • Click "Connect"

πŸ“„ License

This project is licensed under the Apache License 2.0.

Disclaimer

GitMCP is provided "as is" without warranty of any kind. While we strive to ensure the reliability and security of our service, we are not responsible for any damages or issues that may arise from its use. GitHub projects accessed through GitMCP are subject to their respective owners' terms and conditions. GitMCP is not affiliated with GitHub or any of the mentioned AI tools.

Star History