MCP Python Interpreter

MCP Python Interpreter

A Model Context Protocol server that allows LLMs to interact with Python environments, enabling code execution, file operations, package management, and development workflows.

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Tools

read_file

Read the content of any file, with size limits for safety. Args: file_path: Path to the file (relative to working directory or absolute) max_size_kb: Maximum file size to read in KB (default: 1024) Returns: str: File content or an error message

write_file

Write content to a file in the working directory or system-wide if allowed. Args: file_path: Path to the file to write (relative to working directory or absolute if system access is enabled) content: Content to write to the file overwrite: Whether to overwrite the file if it exists (default: False) encoding: File encoding (default: utf-8) Returns: str: Status message about the file writing operation

list_directory

List all Python files in a directory or subdirectory. Args: directory_path: Path to directory (relative to working directory or absolute, empty for working directory)

list_python_environments

List all available Python environments (system Python and conda environments).

list_installed_packages

List installed packages for a specific Python environment. Args: environment: Name of the Python environment (default: default if custom path provided, otherwise system)

run_python_code

Execute Python code and return the result. Code runs in the working directory. Args: code: Python code to execute environment: Name of the Python environment to use (default if custom path provided, otherwise system) save_as: Optional filename to save the code before execution (useful for future reference)

install_package

Install a Python package in the specified environment. Args: package_name: Name of the package to install environment: Name of the Python environment (default if custom path provided, otherwise system) upgrade: Whether to upgrade the package if already installed (default: False)

write_python_file

Write content to a Python file in the working directory or system-wide if allowed. Args: file_path: Path to the file to write (relative to working directory or absolute if system access is enabled) content: Content to write to the file overwrite: Whether to overwrite the file if it exists (default: False)

run_python_file

Execute a Python file and return the result. Args: file_path: Path to the Python file to execute (relative to working directory or absolute if system access is enabled) environment: Name of the Python environment to use (default if custom path provided, otherwise system) arguments: List of command-line arguments to pass to the script

README

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MCP Python Interpreter

A Model Context Protocol (MCP) server that allows LLMs to interact with Python environments, read and write files, execute Python code, and manage development workflows.

Features

  • Environment Management: List and use different Python environments (system and conda)
  • Code Execution: Run Python code or scripts in any available environment
  • Package Management: List installed packages and install new ones
  • File Operations:
    • Read files of any type (text, source code, binary)
    • Write text and binary files
  • Python Prompts: Templates for common Python tasks like function creation and debugging

Installation

You can install the MCP Python Interpreter using pip:

pip install mcp-python-interpreter

Or with uv:

uv install mcp-python-interpreter

Usage with Claude Desktop

  1. Install Claude Desktop
  2. Open Claude Desktop, click on menu, then Settings
  3. Go to Developer tab and click "Edit Config"
  4. Add the following to your claude_desktop_config.json:
{
  "mcpServers": {
    "mcp-python-interpreter": {
        "command": "uvx",
        "args": [
            "mcp-python-interpreter",
            "--dir",
            "/path/to/your/work/dir",
            "--python-path",
            "/path/to/your/python"
        ],
        "env": {
            "MCP_ALLOW_SYSTEM_ACCESS": 0
        },
    }
  }
}

For Windows:

{
  "mcpServers": {
    "python-interpreter": {
      "command": "uvx",
      "args": [
        "mcp-python-interpreter",
        "--dir",
        "C:\\path\\to\\your\\working\\directory",
        "--python-path",
        "/path/to/your/python"
      ],
        "env": {
            "MCP_ALLOW_SYSTEM_ACCESS": 0
        }
    }
  }
}
  1. Restart Claude Desktop
  2. You should now see the MCP tools icon in the chat interface

The --dir parameter is required and specifies where all files will be saved and executed. This helps maintain security by isolating the MCP server to a specific directory.

Prerequisites

  • Make sure you have uv installed. If not, install it using:
    curl -LsSf https://astral.sh/uv/install.sh | sh
    
  • For Windows:
    powershell -ExecutionPolicy Bypass -Command "iwr -useb https://astral.sh/uv/install.ps1 | iex"
    

Available Tools

The Python Interpreter provides the following tools:

Environment and Package Management

  • list_python_environments: List all available Python environments (system and conda)
  • list_installed_packages: List packages installed in a specific environment
  • install_package: Install a Python package in a specific environment

Code Execution

  • run_python_code: Execute Python code in a specific environment
  • run_python_file: Execute a Python file in a specific environment

File Operations

  • read_file: Read contents of any file type, with size and safety limits
    • Supports text files with syntax highlighting
    • Displays hex representation for binary files
  • write_file: Create or overwrite files with text or binary content
  • write_python_file: Create or overwrite a Python file specifically
  • list_directory: List Python files in a directory

Available Resources

  • python://environments: List all available Python environments
  • python://packages/{env_name}: List installed packages for a specific environment
  • python://file/{file_path}: Get the content of a Python file
  • python://directory/{directory_path}: List all Python files in a directory

Prompts

  • python_function_template: Generate a template for a Python function
  • refactor_python_code: Help refactor Python code
  • debug_python_error: Help debug a Python error

Example Usage

Here are some examples of what you can ask Claude to do with this MCP server:

  • "Show me all available Python environments on my system"
  • "Run this Python code in my conda-base environment: print('Hello, world!')"
  • "Create a new Python file called 'hello.py' with a function that says hello"
  • "Read the contents of my 'data.json' file"
  • "Write a new configuration file with these settings..."
  • "List all packages installed in my system Python environment"
  • "Install the requests package in my system Python environment"
  • "Run data_analysis.py with these arguments: --input=data.csv --output=results.csv"

File Handling Capabilities

The MCP Python Interpreter now supports comprehensive file operations:

  • Read text and binary files up to 1MB
  • Write text and binary files
  • Syntax highlighting for source code files
  • Hex representation for binary files
  • Strict file path security (only within the working directory)

Security Considerations

This MCP server has access to your Python environments and file system. Key security features include:

  • Isolated working directory
  • File size limits
  • Prevented writes outside the working directory
  • Explicit overwrite protection

Always be cautious about running code or file operations that you don't fully understand.

License

MIT

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