This MCP server implementation provides a comprehensive set of Python development tools, enabling AI assistants to effectively work with Python code and projects. Developed by Gianluca Mazza, it offers features for file operations, code analysis, project management, and safe code execution within a controlled environment. The server is designed for use cases requiring advanced Python development capabilities, such as code refactoring, dependency management, and automated testing in AI-assisted programming workflows.
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Highlight AIRead the contents of a file. Parameters: file_path (string), start_line (optional integer), end_line (optional integer)
Write content to a file. Parameters: file_path (string), content (string), mode (optional string, default is 'w')
List the contents of a directory. Parameters: directory_path (string)
Parse and analyze the structure of a Python file. Parameters: file_path (string)
Format Python code using a specified style. Parameters: code (string), style (optional string, default is 'black')
Lint a Python file and return a list of issues. Parameters: file_path (string)
Create a new virtual environment for the project.
Install project dependencies from a requirements file or pyproject.toml. Parameters: requirements_file (optional string)
Check for version conflicts between installed packages.
Update a specific package to the latest version or to a specified version. Parameters: package_name (string), version (optional string)
Execute a block of Python code in a controlled environment. Parameters: code (string)
