Python Toolbox
Summary
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.
Available Actions(11)
read_file
Read the contents of a file within the workspace. Parameters: file_path (string), start_line (optional integer), end_line (optional integer)
write_file
Write contents to a file in the workspace. Parameters: file_path (string), content (string), mode (optional string, default is 'w')
list_directory
List the contents of a directory with metadata. Parameters: directory_path (string)
parse_python_file
Parse and analyze the structure of a Python file. Parameters: file_path (string)
format_code
Format the given Python code using a specified style. Parameters: code (string), style (optional string, default is 'black')
lint_code
Lint a Python file and return issues found. Parameters: file_path (string)
create_virtual_environment
Create a new virtual environment in the workspace.
install_dependencies
Install dependencies from a requirements file or pyproject.toml. Parameters: requirements_file (optional string)
check_dependency_conflicts
Check for version conflicts between installed packages.
update_package
Update a specific package to the latest version or to a specified version. Parameters: package_name (string), version (optional string)
execute_code
Execute a block of Python code in a controlled environment. Parameters: code (string)
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