MCP Python Interpreter

List installed packages for a specific Python environment.

Args:
    environment: Name of the Python environment

Execute Python code with flexible execution modes.

Args:
    code: Python code to execute
    execution_mode: Execution mode - "inline" (default, fast, in-process) or "subprocess" (isolated)
    session_id: Session ID for inline mode to maintain state across executions
    environment: Python environment name (only for subprocess mode)
    save_as: Optional filename to save the code before execution
    timeout: Maximum execution time in seconds (only enforced for subprocess mode)

Returns:
    Execution result with output

Execution modes:
- "inline" (default): Executes code in the current process. Fast and reliable,
  maintains session state. Use for most code execution tasks.
- "subprocess": Executes code in a separate Python process. Use when you need
  environment isolation or a different Python environment.

Execute a Python file (always uses subprocess for file execution).

Args:
    file_path: Path to the Python file to execute
    environment: Name of the Python environment to use
    arguments: List of command-line arguments to pass to the script
    timeout: Maximum execution time in seconds (default: 300)

Install a Python package in the specified environment.

Args:
    package_name: Name of the package to install
    environment: Name of the Python environment
    upgrade: Whether to upgrade if already installed
    timeout: Maximum execution time in seconds

Read the content of any file, with size limits for safety.

Args:
    file_path: Path to the file
    max_size_kb: Maximum file size to read in KB

Write content to a file.

Args:
    file_path: Path to the file to write
    content: Content to write
    overwrite: Whether to overwrite if exists

List all Python files in a directory.

Args:
    directory_path: Path to directory (empty for working directory)

Clear a REPL session's state and history.

Args:
    session_id: Session ID to clear