CodeChecker MCP server

Integrates with Cursor IDE to provide real-time code review capabilities, leveraging GPT models for intelligent analysis and specific improvement suggestions.
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Setup instructions
Provider
Jack Landis
Release date
Mar 06, 2025
Language
Python
Stats
2 stars

The CodeChecker MCP is a tool that integrates with Cursor IDE to provide intelligent code analysis and suggestions powered by OpenAI's GPT models. It offers real-time code reviews with specific improvement recommendations through the MCP (Model Context Protocol) integration.

Prerequisites

Before installing CodeChecker MCP, ensure you have:

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

Installation

Follow these steps to set up CodeChecker MCP:

  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
    # On Unix/macOS
    source venv/bin/activate
    # On Windows
    venv\Scripts\activate
    
  3. Install dependencies:

    pip install -e .
    
  4. Set up your OpenAI API key by creating a .env file in the project root:

    OPENAI_API_KEY=your_api_key_here
    

Running the Server

Start the CodeChecker MCP server with:

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

Configuration Options

  • --transport: Specify the transport mode
    • sse: For Cursor IDE integration (recommended)
    • stdio: For command-line usage
  • --port: Set the port number for the SSE server (default: 8000)

Integrating with Cursor IDE

To connect CodeChecker MCP with your Cursor IDE:

  1. Open Cursor IDE settings
  2. Add the following configuration:
    {
      "mcp": {
        "endpoint": "http://127.0.0.1:8000/sse",
        "enabled": true
      }
    }
    

Using Code Reviews

After setup, you can use CodeChecker for code reviews:

  1. Select code in your Cursor IDE
  2. Provide context for the review when prompted
  3. Review the AI-generated analysis and suggested improvements

The tool will analyze your code in real-time using OpenAI's GPT models and provide specific improvement suggestions for your selected code sections.

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "codechecker" '{"command":"python","args":["main.py","--transport","sse","--port","8000"]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "codechecker": {
            "command": "python",
            "args": [
                "main.py",
                "--transport",
                "sse",
                "--port",
                "8000"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "codechecker": {
            "command": "python",
            "args": [
                "main.py",
                "--transport",
                "sse",
                "--port",
                "8000"
            ]
        }
    }
}

3. Restart Claude Desktop for the changes to take effect

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