trackmcp
Back to directory
Zelaron

pandoras-shell

View on GitHub

MCP server enabling AI assistants to execute terminal commands through a secure shell interface

19 stars PythonAI & Machine Learning Updated Oct 7, 2025

Documentation

Pandora's Shell

⚠️ IMPORTANT SECURITY WARNING: This MCP server grants AI assistants unrestricted ability to execute terminal commands on your system. Only use in controlled environments like virtual machines (VMs) or development systems you can afford to rebuild.

About

An MCP server that empowers AI assistants to execute terminal commands on your system. Due to the unrestricted access this provides, it's crucial to use this software responsibly and be fully aware of the security risks involved.

Note: This server is compatible with any AI assistant that supports the Model Context Protocol (MCP). The provided configuration and setup instructions are specifically tailored for Claude Desktop, which offers comprehensive support for all MCP features.

Features

  • Execute any shell command with full system access
  • Capture command output (stdout/stderr)
  • Set working directory
  • Handle command timeouts

API

Tools

  • execute_command
    • Execute any shell command and return its output
    • Inputs:
      • `command` (string): Command to execute
      • `directory` (string, optional): Working directory
    • Returns:
      • Command exit code
      • Standard output
      • Standard error
    • Features:
      • 5-minute timeout
      • Working directory support
      • Error handling

Installation

Prerequisites

  • Claude Desktop with an active Claude Pro/Enterprise subscription
  • Python 3.10 or higher
  • Git
  • uv (required for package management)

Windows Installation

1. Install Prerequisites:

Option A - Using winget (if available on your system):

powershell
winget install python git

Option B - Manual installation (recommended):

    2. Install uv:

    Open Command Prompt (`cmd.exe`) as administrator and run:

    powershell
    powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

    If you encounter any issues, you may need to restart your terminal or computer for the changes to take effect.

    3. Clone and set up the project:

    cmd
    git clone https://github.com/Zelaron/Pandoras-Shell.git
       cd Pandoras-Shell

    Then create a virtual environment. Try these commands in order until one works:

    cmd
    python -m venv venv

    If that doesn't work, try:

    cmd
    python3 -m venv venv

    Then activate the environment:

    cmd
    venv\Scripts\activate

    4. Install dependencies:

    cmd
    uv pip install mcp
       pip install -e .

    Note: If you installed Python from python.org, you'll typically use `python`. If you installed via winget or from the Microsoft Store, you might need to use `python3`. Try both commands if one doesn't work.

    macOS Installation

    1. Install Prerequisites:

    bash
    brew install python git uv

    2. Clone and set up the project:

    bash
    git clone https://github.com/Zelaron/Pandoras-Shell.git
       cd Pandoras-Shell
       python3 -m venv venv
       source venv/bin/activate

    3. Install dependencies:

    bash
    uv pip install mcp
       pip install -e .

    Configuration

    Windows

    Locate the correct configuration directory - try these paths in order:

    1. `%APPDATA%\Claude\` (typically `C:\Users\[YourUsername]\AppData\Roaming\Claude\`)

    2. `%LOCALAPPDATA%\AnthropicClaude\` (typically `C:\Users\[YourUsername]\AppData\Local\AnthropicClaude\`)

    Create or edit `claude_desktop_config.json` in the correct directory:

    json
    {
      "mcpServers": {
        "pandoras-shell": {
          "command": "C:/path/to/cloned/Pandoras-Shell/venv/Scripts/python.exe",
          "args": [
            "C:/path/to/cloned/Pandoras-Shell/src/pandoras_shell/executor.py"
          ],
          "env": {
            "PYTHONPATH": "C:/path/to/cloned/Pandoras-Shell/src"
          }
        }
      }
    }

    Important Notes for Windows:

    • Use forward slashes (`/`) in paths, not backslashes (`\`)
    • Replace `[YourUsername]` with your actual Windows username
    • File must be named exactly `claude_desktop_config.json`
    • If both possible config locations exist, try each until successful

    macOS

    Create or edit `~/Library/Application Support/Claude/claude_desktop_config.json`:

    json
    {
      "mcpServers": {
        "pandoras-shell": {
          "command": "/path/to/cloned/Pandoras-Shell/venv/bin/python",
          "args": [
            "/path/to/cloned/Pandoras-Shell/src/pandoras_shell/executor.py"
          ],
          "env": {
            "PYTHONPATH": "/path/to/cloned/Pandoras-Shell/src"
          }
        }
      }
    }

    Important Notes for macOS:

    • Replace `[YourUsername]` with your actual username
    • You can use `$HOME` instead of `/Users/[YourUsername]` if preferred
    • File must be named exactly `claude_desktop_config.json`
    • The `command` path should point to the Python interpreter inside your virtual environment (`venv/bin/python`), not the system Python

    After Configuration

    1. Restart Claude Desktop completely (quit/exit, not just close the window).

    2. Click the 🔌 icon to verify the server appears in the "Installed MCP Servers" list.

    3. If the server doesn't appear, check Claude's logs:

      Security Considerations

      This server executes commands with your user privileges. Take these precautions:

      • Use only in VMs or disposable development environments.
      • Never use on production systems or machines with sensitive data.
      • Consider implementing command restrictions if needed.
      • Monitor system access and activity.
      • Keep backups of important data.

      Disclaimer: The developers are not responsible for any damages or losses resulting from the use of this software. Use it at your own risk.

      Troubleshooting

      If you encounter issues:

      1. Check logs:

        2. Verify installation:

          3. Configuration issues:

            4. Environment issues:

              5. Test server manually:

              bash
              # First, make sure you're in the Pandoras-Shell directory:
                 cd /path/to/cloned/Pandoras-Shell
                 
                 # For macOS:
                 ./venv/bin/python src/pandoras_shell/executor.py
                 
                 # For Windows:
                 .\venv\Scripts\python.exe src\pandoras_shell\executor.py
              
                 # The executor will appear to hang with no output - this is normal.
                 # It's waiting for connections from Claude Desktop.
                 # Use Ctrl+C to stop it.

              6. Connection issues:

                Testing

                After setup, try these commands in Claude Desktop:

                text
                Can you run 'pwd' and tell me what directory we're in?

                or

                text
                Can you list the files in my home directory? Which of them are larger than 200 MB?

                Frequently asked questions

                What is pandoras-shell?

                pandoras-shell is MCP server enabling AI assistants to execute terminal commands through a secure shell interface

                How do I install pandoras-shell?

                Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

                Is pandoras-shell open source?

                Yes — it is hosted on GitHub at https://github.com/Zelaron/Pandoras-Shell and has 19 stars.

                Related MCP tools

                Run your own MCP server? See who uses it and what to fix.

                Measure it with TrackMCP