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 specified file in the workspace. Parameters: file_path (string), start_line (optional integer), end_line (optional integer)
Write content to a specified file in the workspace. Parameters: file_path (string), content (string), mode (optional string, default is 'w')
List the contents of a specified directory within the workspace. Parameters: directory_path (string)
Parse and analyze the structure of a Python file. Parameters: file_path (string)
Format the provided Python code using a specified style. Parameters: code (string), style (optional string, default is 'black')
Lint a specified Python file and return issues found. 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 specified package to the latest version or a specific version. Parameters: package_name (string), version (optional string)
Execute a given Python code snippet in a controlled environment. Parameters: code (string)
