Python Code Analyzer MCP server

This Model Context Protocol (MCP) server analyzes Python code to provide insights about structure, complexity, and dependencies. It helps developers understand their codebase better by extracting valuable metrics and information through a standardized protocol interface.

Installation

You can install the MCP Code Analyzer using pip:

pip install mcp-code-analyzer

For development or to install from source:

git clone https://github.com/username/mcp-code-analyzer.git
cd mcp-code-analyzer
pip install -e .

Usage

Starting the Server

To start the MCP server on the default port (8000):

mcp-analyzer

With custom configuration:

mcp-analyzer --port 8080 --host 0.0.0.0

Configuration Options

The server accepts several configuration parameters:

• --port: Port number to listen on (default: 8000)
• --host: Host address to bind to (default: 127.0.0.1)
• --workers: Number of worker processes (default: 1)
• --log-level: Logging level (default: info)

API Endpoints

The MCP server exposes the following endpoints:

Analyze Code

POST /analyze

Request body example:

{
  "code": "def hello_world():\n    print('Hello, World!')",
  "options": {
    "complexity": true,
    "dependencies": true,
    "structure": true
  }
}

Response example:

{
  "structure": {
    "functions": [
      {
        "name": "hello_world",
        "line_start": 1,
        "line_end": 2,
        "parameters": []
      }
    ],
    "classes": []
  },
  "complexity": {
    "cyclomatic": 1,
    "lines_of_code": 2
  },
  "dependencies": []
}

Using with Client Libraries

You can connect to the MCP Code Analyzer using any MCP-compatible client:

from mcp_client import MCPClient

client = MCPClient("http://localhost:8000")
result = client.analyze(
    code="def factorial(n):\n    return 1 if n <= 1 else n * factorial(n-1)",
    options={"complexity": True}
)
print(result["complexity"])  # Outputs complexity metrics

Troubleshooting

Common Issues

• Connection refused: Ensure the server is running and the port is not blocked by a firewall
• Analysis timeout: For large codebases, increase the timeout setting in your client
• Invalid response: Check that your code is valid Python syntax

Logs

Server logs can be found at:

• Linux/macOS: ~/.mcp-analyzer/logs/
• Windows: %APPDATA%\mcp-analyzer\logs\

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 "python-code-analyzer" '{"command":"npx","args":["-y","mcp-code-analyzer"]}'

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": {
        "python-code-analyzer": {
            "command": "npx",
            "args": [
                "-y",
                "mcp-code-analyzer"
            ]
        }
    }
}

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": {
        "python-code-analyzer": {
            "command": "npx",
            "args": [
                "-y",
                "mcp-code-analyzer"
            ]
        }
    }
}

3. Restart Claude Desktop for the changes to take effect