Lilith 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

Lilith Shell is an enhanced MCP server that empowers AI assistants to execute terminal commands on your system with improved security controls and testing. 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 shell commands with security validation
• Capture command output (stdout/stderr)
• Set working directory
• Handle command timeouts
• Improved test coverage
• Enhanced security controls
• FastMCP integration

API

Tools

• execute_command
  • Execute shell commands and return their 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
    • Security validation

Installation

Prerequisites

• Claude Desktop with an active Claude Pro/Enterprise subscription
  • Download from: Claude AI
• 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):

   winget install python git

   Option B - Manual installation (recommended):

   • Download and install Python from python.org
   • Download and install Git from git-scm.com

2. Install uv:

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

   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:

   git clone https://github.com/charles-adedotun/Lilith-Shell.git
   cd Lilith-Shell

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

   python -m venv venv

   If that doesn't work, try:

   python3 -m venv venv

   Then activate the environment:

   venv\Scripts\activate

4. Install dependencies:

   uv pip install -e ".[dev]"

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:

   brew install python git uv

2. Clone and set up the project:

   git clone https://github.com/charles-adedotun/Lilith-Shell.git
   cd Lilith-Shell
   python3 -m venv venv
   source venv/bin/activate

3. Install dependencies:

   uv pip install -e ".[dev]"

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:

{
  "mcpServers": {
    "lilith-shell": {
      "command": "C:/path/to/cloned/Lilith-Shell/venv/Scripts/python.exe",
      "args": [
        "C:/path/to/cloned/Lilith-Shell/src/lilith_shell/executor.py"
      ],
      "env": {
        "PYTHONPATH": "C:/path/to/cloned/Lilith-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:

{
  "mcpServers": {
    "lilith-shell": {
      "command": "/path/to/cloned/Lilith-Shell/venv/bin/python",
      "args": [
        "/path/to/cloned/Lilith-Shell/src/lilith_shell/executor.py"
      ],
      "env": {
        "PYTHONPATH": "/path/to/cloned/Lilith-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:
   • Windows: %APPDATA%\Claude\Logs\mcp*.log or %LOCALAPPDATA%\AnthropicClaude\Logs\mcp*.log
   • macOS: ~/Library/Logs/Claude/mcp*.log

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:

   • Windows: %APPDATA%\Claude\Logs\mcp*.log or %LOCALAPPDATA%\AnthropicClaude\Logs\mcp*.log
   • macOS: ~/Library/Logs/Claude/mcp*.log

2. Verify installation:

   • Ensure uv is properly installed and in your PATH.
   • Check that mcp package is installed: pip show mcp.
   • Verify Python version is 3.10 or higher.

3. Configuration issues:

   • Double-check all paths in claude_desktop_config.json.
   • Verify JSON syntax is valid.
   • Ensure proper path separators for your OS.
   • Confirm config file is in the correct location.

4. Environment issues:

   • Make sure virtualenv is activated if using one.
   • Verify PYTHONPATH is set correctly.
   • Check file permissions.

5. Test server manually:

   # First, make sure you're in the Lilith-Shell directory:
   cd /path/to/cloned/Lilith-Shell
   
   # For macOS:
   ./venv/bin/python src/lilith_shell/executor.py
   
   # For Windows:
   .\venv\Scripts\python.exe src\lilith_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:

   • If you get "Could not connect to MCP server" errors, ensure you're using the virtual environment's Python interpreter in your config file.
   • For macOS: Use /path/to/cloned/Lilith-Shell/venv/bin/python
   • For Windows: Use C:/path/to/cloned/Lilith-Shell/venv/Scripts/python.exe

Testing

After setup, try these commands in Claude Desktop:

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

or

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

Acknowledgments

This project is a fork of Pandoras-Shell by Christian Hägg, with significant enhancements to security, testing, and functionality. The original project provided the foundation and inspiration for Lilith Shell.

Shared threads will appear here, showcasing real-world applications and insights from the community. Check back soon for updates!