A DuckDuckGo search plugin for Model Context Protocol (MCP), compatible with Claude Code.

Gianluca Mazza — Thu, 06 Mar 2025 09:20:56 +0000

The following tool provides web search functionality with advanced navigation and content exploration features.

Introducing MCP Python Toolbox: Supercharge AI Assistants with Python Capabilities

Gianluca Mazza — Fri, 28 Feb 2025 20:16:11 +0000

MCP Python Toolbox: Python Development Tools for AI Assistants

I've created an open-source Model Context Protocol (MCP) server that enables AI assistants like Claude to work with Python code and projects.

What is it?

MCP Python Toolbox implements the Model Context Protocol specification to give AI assistants the ability to perform Python development tasks through a standardized interface.

Core Features

The toolbox consists of four main modules:

FileOperations

Read/write files with path validation
Create/delete directories
List directory contents with metadata

CodeAnalyzer

AST-based Python code structure analysis
Code formatting (Black, PEP8)
Linting with Pylint

ProjectManager

Virtual environment management
Dependency installation and conflict checking
Package version management

CodeExecutor

Execute Python code in controlled environments
Capture stdout, stderr, and exit codes
Use project's virtual environment for consistent dependencies

Quick Setup

git clone https://github.com/gianlucamazza/mcp_python_toolbox.git
cd mcp_python_toolbox
python -m venv .venv
source .venv/bin/activate  # Linux/Mac
# Install the package in development mode

# Run with current directory as workspace
python -m mcp_python_toolbox

Integration with Claude

The tool can be configured to work with Claude Desktop to enhance AI-assisted Python development:

"python-toolbox": {
  "command": "/path/to/python",
  "args": [
    "-m",
    "mcp_python_toolbox",
    "--workspace",
    "/path/to/workspace"
  ],
  "env": {
    "PYTHONPATH": "/path/to/src",
    # Other environment variables
  }
}

Technical Implementation

The implementation follows a modular approach with clear separation of concerns:

Safe file operations with workspace restrictions
Python AST for code analysis
Integration with standard tools (Black, Pylint)
Controlled execution environment

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests on the GitHub repository.

DEV Community: Gianluca Mazza