CodeChecker
About
Integrates with Cursor IDE to provide real-time code review capabilities, leveraging GPT models for intelligent analysis and specific improvement suggestions.
Details
- Author
- jacklandis29
- Repository
- jacklandis29/codechecker-mcp
- GitHub stars
- 2
- Categories
- Productivity, Design, Developer Tools, AI, Infrastructure
- Tags
- #integration
Jump to
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
CodeCheckerCommand (node, npx, python, etc.)npxArguments-
Argument 1
-y -
Argument 2
@highlight/mcp-server
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
- --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)
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"codechecker": {
"env": {},
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}
}
}
Linux
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}
Macos
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}
Windows
{
"env": [],
"args": [
"/c",
"npx",
"-y",
"@highlight/mcp-server"
],
"command": "cmd"
}
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
2. Create and activate a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows use: venv\Scripts\activate
3. Install dependencies:
pip install -e .
4. 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
2. Configure Cursor IDE:
- Open Cursor settings
- Add the following configuration:
{
"mcp": {
"endpoint": "http://127.0.0.1:8000/sse",
"enabled": true
}
}
3. 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
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.





