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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Read the contents of a file. Parameters: file_path (string), start_line (optional int), end_line (optional int)
Write content to a file. Parameters: file_path (string), content (string), mode (optional string, default is 'w')
List the contents of a directory with detailed metadata. Parameters: directory_path (string)
Parse and analyze the structure of a Python file. Parameters: file_path (string)
Format the provided code using a specified style. Parameters: code (string), style (optional string, default is 'black')
Lint a Python file and return issues found. Parameters: file_path (string)
Create a virtual environment in the specified workspace.
Install dependencies from a requirements file or pyproject.toml. Parameters: file_path (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)
