CodeChecker

Integrates with Cursor IDE to provide real-time code review capabilities, leveraging GPT models for intelligent analysis and specific improvement suggestions.

Installation Instructions

README: https://github.com/jacklandis29/codechecker-mcp

CodeChecker MCP

A code review tool for Cursor IDE that uses OpenAI's GPT models to provide intelligent code analysis and suggestions.

Features

• Real-time code review using OpenAI's GPT models
• Integration with Cursor IDE through MCP protocol
• Support for both SSE and stdio transport modes
• Detailed code analysis with specific improvement suggestions

Prerequisites

• Python 3.10 or higher
• OpenAI API key
• Cursor IDE

Installation

1. Clone the repository:

git clone https://github.com/jacklandis29/codechecker-mcp.git
cd codechecker-mcp

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate

3. Install dependencies:

pip install -e .

4. Create a .env file in the project root and add your OpenAI API key:

OPENAI_API_KEY=your_api_key_here

Usage

1. Start the server:

python main.py --transport sse --port 8000

2. Configure Cursor IDE:
   • Open Cursor settings
   • Add the following configuration:

{
  "mcp": {
    "endpoint": "http://127.0.0.1:8000/sse",
    "enabled": true
  }
}

3. Use the code review tool in Cursor IDE by selecting code and providing context for review.

Configuration

• --transport: Choose between "sse" (for Cursor IDE integration) or "stdio" (for command-line usage)
• --port: Specify the port number for the SSE server (default: 8000)

License

MIT License