Access GitHub Docs and Code for AI
Free, zero-setup remote MCP server that turns any GitHub repo or GitHub Pages site into a live documentation source.
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Why it matters
Transform any GitHub project into a dynamic documentation hub. Enable AI tools to access up-to-date code and documentation, significantly reducing AI hallucinations and improving accuracy.
Outcomes
What it gets done
Fetch and search documentation from any public GitHub repository.
Search and retrieve code implementation details from GitHub repositories.
Extract and format content from URLs mentioned in documentation.
Integrate with AI tools like Claude Desktop and VSCode for seamless access.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-gitmcp | bash Capabilities
Tools your agent gets
Retrieves primary documentation from a GitHub repository, providing a project overview
Performs intelligent searches across repository documentation to find relevant sections
Extracts content from links mentioned in documentation and converts it to a readable format
Performs searches across repository code using GitHub code search to find implementation details
Overview
GitMCP Server
GitMCP is a free remote MCP server that turns any public GitHub repository or Pages site into a live documentation source, letting an AI assistant fetch and search up-to-date docs and code. Use it when an assistant needs current, accurate documentation for niche or fast-changing libraries; it only works with publicly available GitHub content, not private repos.
What it does
GitMCP is a free, open-source, remote MCP server that transforms any GitHub project (repository or GitHub Pages site) into a documentation hub for AI assistants. It gives tools like Cursor, Claude Desktop, and Windsurf access to up-to-date documentation and code even for libraries the underlying LLM has never seen, reducing code hallucinations. It supports a llms.txt-first priority order (falling back to an AI-optimized docs version, then README.md), and requires zero setup since it runs entirely in the cloud - just add a URL as an MCP server.
GitMCP has two modes: a specific-repository URL (gitmcp.io/{owner}/{repo}) that always targets one project, and a generic dynamic endpoint (gitmcp.io/docs) where the AI picks the repository per request.
When to use - and when NOT to
Use GitMCP when your AI assistant needs accurate, current documentation or code examples for a specific library - especially niche, new, or fast-changing ones the LLM's training data doesn't cover well.
Do not use the generic gitmcp.io/docs endpoint if you need guaranteed targeting of a single project; use the specific-repository URL instead for security and relevance. It also only works with publicly available GitHub content and respects robots.txt for GitHub Pages sites, so private repos are out of scope.
Inputs and outputs
Tools accept natural-language documentation or code search queries and, for the generic endpoint, an implicit or explicit repository target. Outputs are fetched documentation content, search results scoped to the repo's docs, fetched external URL content referenced in docs, and code search matches from the repository.
Capabilities
fetch_<repo-name>_documentation: retrieves the primary documentation (e.g.llms.txt) for a project overviewsearch_<repo-name>_documentation: intelligent search through a repo's documentation for specific features or conceptsfetch_url_content: retrieves and converts content from links referenced in the documentationsearch_<repo-name>_code: searches the actual repository code via GitHub code search for implementation examples- On the dynamic endpoint, equivalents are named
fetch_generic_documentation,search_generic_documentation, andsearch_generic_code
How to install
No installation needed - GitMCP runs in the cloud. Add the URL as an MCP server, e.g. for Cursor at ~/.cursor/mcp.json:
{
"mcpServers": {
"gitmcp": { "url": "https://gitmcp.io/{owner}/{repo}" }
}
}
For Claude Desktop, use npx mcp-remote https://gitmcp.io/{owner}/{repo} as the command. Replace {owner}/{repo} with the target GitHub project, or use gitmcp.io/docs for the dynamic endpoint that lets the AI pick repositories on the fly.
Who it's for
Developers using AI coding assistants who need grounded, hallucination-free answers about specific GitHub libraries, especially ones that are niche or rapidly evolving.
Source README
GitMCP
What is GitMCP • Features • Getting Started • How It Works • Badge • Examples • FAQ • Privacy • Contributing • License
🤔 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!
🚀 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
- In Claude Desktop, go to Settings > Developer > Edit Config
- Replace the configuration with:
{ "mcpServers": { "gitmcp": { "command": "npx", "args": [ "mcp-remote", "https://gitmcp.io/{owner}/{repo}" ] } } }
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
- Open Highlight AI and click the plugins icon (@ symbol) in the sidebar
- Click Installed Plugins at the top of the sidebar
- Select Custom Plugin
- 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
- Open Augment Code settings
- Navigate to the MCP section
- 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
- Open Msty Studio
- Go to Tools > Import Tools from JSON Clipboard
- 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 endpointhttps://gitmcp.io/docsto 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:
- 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
💡 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, andsearch_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.
Adding the Badge to Your Repository
Add the following to your README.md:
[](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!
❓ FAQ
What is the Model Context Protocol?
The Model Context Protocol is a standard that allows AI assistants to request and receive additional context from external sources in a structured manner, enhancing their understanding and performance.
Does GitMCP work with any AI assistant?
Yes, GitMCP is compatible with any AI assistant supporting the Model Context Protocol, including tools like Cursor, VSCode, Claude, etc.
Is GitMCP compatible with all GitHub projects?
Absolutely! GitMCP works with any public GitHub repository without requiring any modifications. It prioritizes the llms.txt file and falls back to README.md or other pages if the former is unavailable. Future updates aim to support additional documentation methods and even generate content dynamically.
Does GitMCP cost money?
No, GitMCP is a free service to the community with no associated costs.
🔒 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.
👥 Contributing
We welcome contributions, feedback, and ideas! Please review our contribution guidelines.
Local Development Setup
Clone the repository
git clone https://github.com/idosal/git-mcp.git cd git-mcpInstall dependencies
pnpm installRun locally for development
npm run dev # or pnpm dev
Using MCP Inspector for Testing
Install the MCP Inspector tool:
npx @modelcontextprotocol/inspectorIn the inspector interface:
- Set Transport Type to
SSE - Enter your GitMCP URL (e.g.,
http://localhost:5173/docs) - Click "Connect"
- Set Transport Type to
📄 License
This project is licensed under the Apache License 2.0.
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