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 located in the workspace. Parameters: file_path (string), start_line (optional integer), end_line (optional integer)
write_file
Write contents to a specified file in the workspace. Parameters: file_path (string), content (string), mode (optional string, default is 'w')
list_directory
List the contents of a directory within the workspace. 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 code using a specified style. Parameters: code (string), style (optional string, default is 'black')
lint_code
Lint a Python file and return a list of issues found. Parameters: file_path (string)
create_virtual_environment
Create a new virtual environment for the project.
install_dependencies
Install project dependencies from a specified requirements file or from default sources (requirements.txt or pyproject.toml). Parameters: requirements_file (optional string)
check_dependency_conflicts
Check for any dependency conflicts in the installed packages.
update_package
Update a specified package to the latest version or to a specific 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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