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 within the workspace. Parameters: file_path (string), start_line (optional int), end_line (optional int)
Write data to a file within the workspace. Parameters: file_path (string), data (string), mode (optional string, default is 'w')
List the contents of a directory within the workspace with detailed metadata. Parameters: directory_path (string)
Parse and analyze the structure of a Python file. Parameters: file_path (string)
Format the given Python code using a specified style. Parameters: code (string), style (optional string, default is 'black')
Lint the specified Python file and return issues found. Parameters: file_path (string)
Create a new virtual environment for the project.
Install project dependencies from requirements.txt or pyproject.toml. Optionally specify a file name.
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 block of Python code in a controlled environment and capture output. Parameters: code (string)
