Which integrations are available for this server?

Utilizes OpenAI's GPT models to provide real-time code review, analysis, and improvement suggestions within Cursor IDE

How do I use CodeChecker MCP?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@CodeChecker MCP review this Python function for potential bugs and suggest improvements" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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

Clone the repository:

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

Create and activate a virtual environment:

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

Install dependencies:

pip install -e .

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

OPENAI_API_KEY=your_api_key_here

Usage

Start the server:

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

Configure Cursor IDE:
- Open Cursor settings
- Add the following configuration:

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

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)