---

title: Code Analysis MCP emoji: 🧑‍💻 colorFrom: black colorTo: yellow sdk: gradio sdk_version: 5.32.0 app_file: src/app.py pinned: false license: apache-2.0 short_description: Automated code reviews for LLMs.

Code Analysis MCP Server

This project is a simple Gradio-based MCP server that provides two basic code analysis functionalities:

• Code Analysis Report: Generates a report with basic information about the provided code.
• Code Score: Provides a simple score for the provided code.

Setup and Running

1. Clone the repository.

2. Navigate to the project directory.

3. Install the required dependencies:

   pip install -r requirements.txt
   

4. Run the application:

   python src/app.py
   

5. The Gradio interface will be available at http://127.0.0.1:7860/ and MCP server will be avaible at http://127.0.0.1:7860/gradio_api/mcp/sse.

Connecting to Cursor AI

7. To test the MCP server with Cursor AI, open Cursor Settings, navigate to the "MCP" tab, and click the "+ Add new global MCP server" button.

8. Add the following JSON configuration to the MCP settings file:

{
  "mcpServers": {
    "gradio": {
      "url": "http://127.0.0.1:7860/gradio_api/mcp/sse"
    }
  }
}

9. Save the file. You will now see an active MCP server named gradio with the tools Code Analysis Report and Code Score.

To test this MCP server, you can create a new chat in agent mode of the Cursor using (CTRL +T) and ask for a code analysis report (e.g., "analyze this Python code: print('hello')"). Cursor will ask for permission to run the MCP tool. Approve it.

Tools

Code Analysis Report

• Endpoint: /predict
• Description: Accepts a code string and returns a basic analysis report.

Code Score

• Endpoint: /predict_1
• Description: Accepts a code string and returns a simple code score.