GitHub Search MCP Server

GitHub Search MCP Server

Enables searching and exploring GitHub repositories with tools for cloning repos, searching code with regex, browsing directory structures, reading files, and extracting code outlines.

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GitHub Search MCP Server

A Model Context Protocol (MCP) server for searching and exploring GitHub repositories. Compatible with OpenAI's ChatGPT and Responses API.

Features

  • 5 MCP Tools with readOnlyHint annotations:

    1. clone_repository - Clone repositories from a whitelisted GitHub user
    2. search_code - Fast grep-based code search with regex support
    3. get_tree - Display repository directory structure
    4. read_file - Read file contents with line range support
    5. get_outline - Extract code structure (classes, functions, methods)
  • No Authentication Required - Server handles GitHub PAT internally

  • Streamable HTTP Transport - Compatible with OpenAI's MCP integration

  • MCP Protocol 2025-06-18 - Latest specification compliance

Quick Start

1. Install Dependencies

pip install -r requirements.txt

2. Configure Environment

cp .env.example .env
# Edit .env with your GitHub PAT token

3. Run the Server

python main.py

The server will start on http://localhost:8000.

Docker

# Build
docker build -t github-mcp-server .

# Run
docker run -p 8000:8000 -e GITHUB_PAT=your_token github-mcp-server

API Endpoints

Endpoint Method Description
/ GET Server info and available endpoints
/mcp POST MCP protocol endpoint (JSON-RPC)
/health GET Health check
/capabilities GET Server capabilities

MCP Tools

clone_repository

Clone a GitHub repository from the whitelisted user.

{
  "name": "clone_repository",
  "arguments": {
    "repo_name": "my-repo"
  }
}

search_code

Search for code patterns using grep.

{
  "name": "search_code",
  "arguments": {
    "repo_name": "my-repo",
    "pattern": "def main",
    "file_pattern": "*.py",
    "case_sensitive": false,
    "max_results": 50
  }
}

get_tree

Display repository directory tree.

{
  "name": "get_tree",
  "arguments": {
    "repo_name": "my-repo",
    "path": "src",
    "max_depth": 3,
    "show_hidden": false
  }
}

read_file

Read file contents with optional line ranges.

{
  "name": "read_file",
  "arguments": {
    "repo_name": "my-repo",
    "file_path": "src/main.py",
    "start_line": 1,
    "end_line": 50
  }
}

get_outline

Get code outline showing classes and functions.

{
  "name": "get_outline",
  "arguments": {
    "repo_name": "my-repo",
    "file_path": "src/main.py"
  }
}

Connecting to ChatGPT

  1. Deploy the server to a public URL (e.g., Railway, Render, or AWS)
  2. In ChatGPT, go to Settings > Connectors > Add Connector
  3. Enter your server URL (e.g., https://your-server.com/mcp)
  4. Select "No authentication required"

Security

  • Whitelisted User: Only repositories from the configured ALLOWED_USERNAME can be cloned
  • Path Traversal Prevention: All file paths are validated
  • No Secrets in Responses: GitHub PAT is server-side only

Environment Variables

Variable Description Default
GITHUB_PAT GitHub Personal Access Token (empty)
HOST Server host 0.0.0.0
PORT Server port 8000
REPO_STORAGE_PATH Path for cloned repos /tmp/repos
ALLOWED_USERNAME Whitelisted GitHub username anirudhadasgupta

License

MIT

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