What is Python Project Analyzer Mcp

python-project-analyzer-mcp is a Model Context Protocol (MCP) server designed to analyze Python projects, extract library signatures, and retrieve project information. It aids AI assistants in understanding the structure and dependencies of Python code.

Use cases

Use cases for python-project-analyzer-mcp include analyzing Python libraries for compatibility, extracting function signatures for documentation purposes, and assisting AI assistants in understanding complex codebases.

How to use

To use python-project-analyzer-mcp, clone the repository, navigate to the project directory, and install the required dependencies using the provided commands. After setting up, it can be integrated with MCP-compatible clients for analysis.

Key features

Key features include project dependencies analysis, detailed file information retrieval, and library signature extraction with search capabilities.

Where to use

python-project-analyzer-mcp can be used in software development, particularly in environments where Python projects need to be analyzed for dependencies and structure, such as in AI development and code review tools.

Python Project Analyzer MCP Server

A Model Context Protocol (MCP) server that provides tools for analyzing Python projects, extracting library signatures, and retrieving project information.

Overview

This MCP server provides tools to help AI assistants analyze Python projects, extract information about libraries, and understand project dependencies. It’s designed to be used with MCP-compatible clients like Claude.

Features

• Project Dependencies Analysis: Extract dependencies from pyproject.toml files
• File Information Retrieval: Get detailed information about files in a project
• Library Signature Extraction: Extract function and class signatures from Python libraries with search capabilities

Requirements

• Python 3.11+
• Dependencies:
  • mcp>=0.9.1
  • pydantic>=2.0.0
  • fastapi>=0.90.0
  • uvicorn[standard]
  • httpx>=0.27.0
  • toml>=0.10.2
  • requests>=2.32.3

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/python-project-analyzer-mcp.git
   cd python-project-analyzer-mcp
   

2. Install dependencies with uv:

   uv sync
   

3. Install additional dependencies if needed:

   # Install a development dependency
   uv add pytest --dev
   
   # Install a regular dependency
   uv add requests
   
   # Install dependencies from a specific group
   uv add ruff --group lint
   
   # Sync all dependencies including development ones
   uv sync
   
   # Sync only development dependencies
   uv sync --only-dev
   
   # Sync with specific groups
   uv sync --group lint
   
   # Sync all groups
   uv sync --all-groups
   

Usage

Running the Server

You can run the server directly:

python mcp_server_sdk.py

Connecting to Claude or Other MCP Clients

To use this server with Claude Desktop:

1. Install the MCP server:

   mcp install /path/to/mcp_server_sdk.py --name "Python Project Analyzer"
   

2. The server will appear in Claude’s available tools list.

Available Tools

1. Get Project Dependencies

Extracts dependencies from a project’s pyproject.toml file.

{
  "jsonrpc": "2.0",
  "method": "get_project_dependencies",
  "params": {
    "project_path": "/path/to/project"
  },
  "id": "request-id"
}

2. Get File Information

Returns detailed information about a specified file.

{
  "jsonrpc": "2.0",
  "method": "get_file_info",
  "params": {
    "file_path": "/path/to/file.py"
  },
  "id": "request-id"
}

3. Extract Library Signatures

Searches for and extracts function or class signatures from a specified library.

{
  "jsonrpc": "2.0",
  "method": "extract_library_signatures",
  "params": {
    "library_name": "json",
    "project_path": "/path/to/project",
    "search_term": "dump",
    "max_results": 5,
    "exact_match": false
  },
  "id": "request-id"
}

Testing

Run the tests to verify the server is working correctly:

pytest test_mcp_client.py

Project Structure

• mcp_server_sdk.py: Main MCP server implementation
• helper_script.py: Helper functions for library inspection
• test_mcp_client.py: Client tests for the MCP server
• test_mcp_server.py: Server unit tests
• pyproject.toml: Project dependencies and metadata

Understanding MCP

The Model Context Protocol (MCP) is a standardized way for AI models to interact with external tools and resources. Key concepts include:

• Tools: Functions that models can call to perform actions or retrieve information
• Resources: External data sources that models can reference
• Transports: Communication channels between clients and MCP servers

This server implements the MCP specification to provide Python project analysis tools to AI assistants.

Learning Resources

• MCP Official Documentation
• MCP Python SDK
• Claude Desktop

Installation on Windsurf

To install and use this MCP server in the Windsurf environment, follow these steps:

1. Clone the repository into your MCP servers directory:

   git clone https://github.com/yourusername/python-project-analyzer-mcp.git ~/mcp-servers/mcp-python
   cd ~/mcp-servers/mcp-python
   

2. Install dependencies using uv:

   uv sync
   

3. Configure Windsurf to use this MCP server by updating your MCP configuration file:

   mkdir -p ~/.codeium/windsurf
   

4. Create or update the MCP configuration file:

   cat > ~/.codeium/windsurf/mcp_config.json << EOF
   {
     "mcp_servers": [
       {
         "name": "python-analyzer",
         "command": ["python", "$HOME/mcp-servers/mcp-python/mcp_server_sdk.py"]
       }
     ]
   }
   EOF
   

5. Restart Windsurf to apply the changes.

6. Verify the installation by checking if the MCP server appears in the available tools list in Windsurf.

For more detailed information, refer to the Windsurf documentation at @web https://docs.windsurf.com

License

This project is licensed under the MIT License - see the LICENSE file for details.

MIT License

Copyright (c) 2025 [Your Name]

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.