SonarQube FastAPI MCP Server

This project provides a FastAPI-based MCP (Machine Control Protocol) server for interacting with SonarQube. It allows tools like Qwen, Cursor, and Claude to access SonarQube data through MCP protocol.

Features

• Get all projects from SonarQube
• Retrieve coverage metrics for projects
• Get duplication rates
• Access project issues
• Obtain uncovered lines information
• Health check endpoint

Author

Fauzi Fadhlurrohman

• LinkedIn: https://www.linkedin.com/in/fauzi-fadhlurrohman/

Installation

1. Clone the repository
2. Install dependencies: pip install -r requirements.txt
3. Configure environment variables in .env file
4. Run the server: python mcp_server.py

Docker Deployment

The project includes multiple Docker Compose configurations:

1. Development (default):

   docker-compose up
   docker-compose down

2. Production:

   docker-compose -f docker-compose.yml -f docker-compose.prod.yml up -d
   docker-compose -f docker-compose.yml -f docker-compose.prod.yml down

3. MCP Server:

   docker-compose -f docker-compose.mcp.yml up -d
   docker-compose -f docker-compose.mcp.yml down

MCP Configuration

To use this server with AI tools like Qwen, Cursor, or Claude, configure the MCP settings as follows:

{
  "sonarqube-mcp": {
    "command": "docker-compose",
    "args": [
      "-f",
      "docker-compose.mcp.yml",
      "exec",
      "-T",
      "sonarqube-mcp",
      "python",
      "mcp_server.py"
    ],
    "cwd": "H:\\fauzi\\project\\sonarqube-fastapi-mcp"
  }
}

Usage

The server implements MCP protocol and can be used with compatible AI tools like Qwen, Cursor, and Claude.