Skip to main content
Glama

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

Related MCP server: AI Development Assistant MCP Server

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
  1. Create and activate a virtual environment:

python -m venv venv source venv/bin/activate # On Windows use: venv\Scripts\activate
  1. Install dependencies:

pip install -e .
  1. 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
  1. Configure Cursor IDE:

    • Open Cursor settings

    • Add the following configuration:

{ "mcp": { "endpoint": "http://127.0.0.1:8000/sse", "enabled": true } }
  1. 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

-
security - not tested
F
license - not found
-
quality - not tested

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jacklandis29/codechecker-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server