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Codechecker Mcp

@jacklandis29on 9 months ago
2 MIT
FreeCommunity
AI Systems
Cursor code-checker MCP

Overview

What is Codechecker Mcp

CodeChecker MCP is a code review tool designed for Cursor IDE that leverages OpenAI’s GPT models to provide intelligent code analysis and suggestions.

Use cases

Use cases for CodeChecker MCP include improving code quality through real-time feedback, assisting developers in understanding code better, and providing suggestions for code optimization.

How to use

To use CodeChecker MCP, first clone the repository, set up a virtual environment, install dependencies, and configure your OpenAI API key. Start the server and integrate it with Cursor IDE by adding the appropriate configuration in the settings.

Key features

Key features include real-time code review using OpenAI’s GPT models, integration with Cursor IDE via MCP protocol, support for both SSE and stdio transport modes, and detailed code analysis with specific improvement suggestions.

Where to use

CodeChecker MCP is primarily used in software development environments, particularly for developers using Cursor IDE who seek enhanced code review capabilities.

Content

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
  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

Tools

No tools

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