GitMCP MCP Server

What does “GitMCP” MCP Server do?

GitMCP is a free, open-source, remote Model Context Protocol (MCP) server designed to bridge AI assistants with any GitHub project. Its primary purpose is to eliminate code hallucinations by providing accurate, contextual access to source code and repository data for AI models. By connecting AI assistants directly to live codebases, issues, pull requests, and repository files, GitMCP enables intelligent code searches, context-aware completions, and enhanced development workflows. Developers and AI tools can leverage GitMCP to perform actions like searching repositories, querying code, browsing project structures, and managing files, thereby streamlining tasks such as code review, documentation generation, and automated development assistance.

List of Prompts

List of Resources

List of Tools

Use Cases of this MCP Server

• Codebase Exploration
  AI assistants can use GitMCP to intelligently explore and navigate large or complex GitHub repositories, making it easier for developers to understand unfamiliar codebases.
• Automated Documentation Generation
  By accessing real code and documentation, AI models can generate accurate summaries, API references, and usage examples based on the latest code in a repository.
• Code Review Assistance
  GitMCP enables AI-driven analysis of pull requests and issues, providing context-aware suggestions, code quality checks, and highlighting potential bugs or inconsistencies.
• Repository Search and Querying
  Developers can leverage AI to perform advanced searches across code, issues, and discussions, improving productivity and reducing time spent on manual lookups.
• Contextual Code Completions
  By supplying real-time codebase data, GitMCP allows LLMs to suggest relevant code completions, refactorings, and fixes grounded in the actual project context.

How to set it up

Windsurf

1. Ensure you have Windsurf and Node.js installed.
2. Open your Windsurf configuration file (e.g., windsurf.config.json).
3. Add the GitMCP server using a JSON snippet under the mcpServers object:

   {
     "mcpServers": {
       "gitmcp": {
         "command": "npx",
         "args": ["@idosal/git-mcp@latest"]
       }
     }
   }
   

4. Save the configuration file and restart Windsurf.
5. Verify that GitMCP is available in your MCP servers list.

Claude

1. Make sure Claude is installed and configured.
2. Locate Claude’s configuration file for MCP servers.
3. Insert the following JSON configuration:

   {
     "mcpServers": {
       "gitmcp": {
         "command": "npx",
         "args": ["@idosal/git-mcp@latest"]
       }
     }
   }
   

4. Save the file and restart Claude.
5. Confirm integration by checking for GitMCP in the available MCP tools.

Cursor

1. Install Node.js and ensure Cursor supports MCP integration.
2. Open Cursor’s MCP configuration file.
3. Add:

   {
     "mcpServers": {
       "gitmcp": {
         "command": "npx",
         "args": ["@idosal/git-mcp@latest"]
       }
     }
   }
   

4. Save changes and restart Cursor.
5. Validate that GitMCP appears as a registered MCP server.

Cline

1. Confirm Cline and Node.js are installed.
2. Edit Cline’s MCP configuration.
3. Insert:

   {
     "mcpServers": {
       "gitmcp": {
         "command": "npx",
         "args": ["@idosal/git-mcp@latest"]
       }
     }
   }
   

4. Save the file and restart Cline.
5. Check that GitMCP is accessible.

Securing API Keys

Store sensitive credentials in environment variables and reference them in your configuration:

{
  "env": {
    "GITMCP_API_KEY": "<your_api_key_here>"
  },
  "inputs": {
    "apiKey": "${env.GITMCP_API_KEY}"
  }
}

Ensure you never hardcode secrets in your config files.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "gitmcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “gitmcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the provided information, GitMCP is well-documented regarding its purpose and setup, but lacks explicit details about prompts, resources, and tools in the public documentation. This limits the ability to fully evaluate its MCP feature set.

MCP Score