Git

GitMCP

🤔 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 — no downloads, installations, signups, or changes are required.
• 💬 Embedded Chat: Start quickly by chatting directly with the repository's documentation through our in-browser chat!
• ✅ 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!

<video src="https://github.com/user-attachments/assets/2c3afaf9-6c08-436e-9efd-db8710554430"></video>

🚀 Getting Started

Using GitMCP is easy! Simply follow these steps:

Step 1: Choose the type of server you want

Choose one of these URL formats depending on what you want to connect to:

• For GitHub repositories: gitmcp.io/{owner}/{repo}
• For GitHub Pages sites: {owner}.gitmcp.io/{repo}
• For a generic tool that supports any repository (dynamic): gitmcp.io/docs

Replace {owner} with the GitHub username or organization name, and {repo} with the repository name.

For your convenience, you can also use the conversion tool on the landing page to format the GitHub URL into an MCP URL!

Step 2: Connect your AI assistant

Select your AI assistant from the options below and follow the configuration instructions:

Connecting Cursor

Update your Cursor configuration file at ~/.cursor/mcp.json:

{
  "mcpServers": {
    "gitmcp": {
      "url": "https://gitmcp.io/{owner}/{repo}"
    }
  }
}

Connecting Claude Desktop

1. In Claude Desktop, go to Settings > Developer > Edit Config
2. Replace the configuration with:

   {
     "mcpServers": {
       "gitmcp": {
         "command": "npx",
         "args": [
           "mcp-remote",
           "https://gitmcp.io/{owner}/{repo}"
         ]
       }
     }
   }

   Copy to clipboard

Connecting Windsurf

Update your Windsurf configuration file at ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "gitmcp": {
      "serverUrl": "https://gitmcp.io/{owner}/{repo}"
    }
  }
}

Connecting VSCode

Update your VSCode configuration file at .vscode/mcp.json:

{
  "servers": {
    "gitmcp": {
      "type": "sse",
      "url": "https://gitmcp.io/{owner}/{repo}"
    }
  }
}

Connecting Cline

Update your Cline configuration file at ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json:

{
  "mcpServers": {
    "gitmcp": {
      "url": "https://gitmcp.io/{owner}/{repo}",
      "disabled": false,
      "autoApprove": []
    }
  }
}

Connecting Highlight AI

1. Open Highlight AI and click the plugins icon (@ symbol) in the sidebar
2. Click Installed Plugins at the top of the sidebar
3. Select Custom Plugin
4. Click Add a plugin using a custom SSE URL

Plugin name: gitmcp SSE URL: https://gitmcp.io/{owner}/{repo}

For more details on adding custom MCP servers to HighlightAI, refer to the documentation.

Connecting Augment Code

1. Open Augment Code settings
2. Navigate to the MCP section
3. Add a new MCP server with the following details:

Name the MCP server: git-mcp Docs

Use this command:

npx mcp-remote https://gitmcp.io/{owner}/{repo}

Or use the following configuration:

{
  "mcpServers": {
    "git-mcp Docs": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://gitmcp.io/{owner}/{repo}"
      ]
    }
  }
}

Connecting Msty AI

1. Open Msty Studio
2. Go to Tools > Import Tools from JSON Clipboard
3. Paste the following configuration:

{
  "mcpServers": {
    "git-mcp Docs": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://gitmcp.io/{owner}/{repo}"
      ]
    }
  }
}

For more details on configuring MCP servers in Augment Code, visit the Augment Code documentation.

Note: Remember to replace {owner} and {repo} with the actual GitHub username/organization and repository name. You can also use the dynamic endpoint https://gitmcp.io/docs to allow your AI to access any repository on demand.

⚙ 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:

1. 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.
2. Prompt the AI assistant on documentation/code-related questions.
3. Your AI sends requests to GitMCP to use its tools (with your approval).
4. GitMCP executes the AI's request and returns the requested data.
5. 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):

1. llms.txt
2. AI-optimized version of the project's documentation
3. README.md/root

💡 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.

🛠️ 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.

📊 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):

Addi

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