CodeChecker MCP
Utilizes OpenAI's GPT models to provide real-time code review, analysis, and improvement suggestions within Cursor IDE
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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-mcpCreate and activate a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows use: venv\Scripts\activateInstall dependencies:
pip install -e .Create a
.envfile in the project root and add your OpenAI API key:
OPENAI_API_KEY=your_api_key_hereUsage
Start the server:
python main.py --transport sse --port 8000Configure 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)
License
MIT License
This server cannot be deployed
Maintenance
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