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Pandora's Shell: Enterprise Security & Seamless SSH Automation - MCP Implementation

Pandoras Shell: Enterprise Security & Seamless SSH Automation

Pandora's Shell: The secure MCP server enabling AI assistants to execute terminal commands via SSH, blending enterprise-grade security with seamless automation control—no trade-offs.

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About Pandoras Shell

What is Pandora's Shell: Enterprise Security & Seamless SSH Automation?

Pandora's Shell is an advanced automation tool designed for secure, user-privileged command execution within controlled environments. By integrating enterprise-grade security protocols with seamless SSH integration, it enables efficient system management while mitigating risks through strict access controls and audit logging. This solution bridges the gap between operational efficiency and cybersecurity by ensuring all activities are traceable and compliant with organizational policies.

How to use Pandora's Shell: Enterprise Security & Seamless SSH Automation?

Deployment involves three core steps: installing the agent via supported platforms, configuring environment-specific settings through YAML files, and validating connectivity through predefined verification checks. Users can execute commands remotely while adhering to role-based access constraints, ensuring actions align with pre-approved workflows. Real-time logging and error tracking further simplify troubleshooting and compliance reporting.

Pandoras Shell Features

Key Features of Pandora's Shell: Enterprise Security & Seamless SSH Automation?

Prioritizing security, the platform enforces least-privilege access, granular permissions, and encrypted communication channels. Its robust logging captures command outputs and execution metadata, while built-in safeguards prevent unauthorized activity. Cross-platform compatibility and customizable error handling mechanisms make it adaptable to diverse infrastructure landscapes without compromising on security benchmarks.

Use cases of Pandora's Shell: Enterprise Security & Seamless SSH Automation?

Pandoras Shell FAQ

FAQ from Pandora's Shell: Enterprise Security & Seamless SSH Automation?

Q: How does it ensure security?
A: Multi-layered encryption, role-based access control, and mandatory logging enforce a zero-trust model. Unauthorized attempts trigger immediate alerts and are logged for review.

Q: Is it compatible with cloud environments?
A: Fully compatible with AWS, Azure, and GCP, supporting hybrid cloud management through standardized SSH protocols. Configuration templates are provided for rapid deployment.

Q: What if configuration errors occur?
A: Built-in validation checks flag misconfigurations during setup. Detailed error messages and a troubleshooting portal guide users to resolve issues systematically.

Content

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):

    winget install python git

Option B - Manual installation (recommended):

* Download and install Python from [python.org](https://www.python.org)
* Download and install Git from [git-scm.com](https://git-scm.com)
  1. 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.

  1. Clone and set up the project:

    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:

    python -m venv venv

If that doesn't work, try:

    python3 -m venv venv

Then activate the environment:

    venv\Scripts\activate
  1. Install dependencies:

    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:

    brew install python git uv

  2. Clone and set up the project:

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

cd Pandoras-Shell
python3 -m venv venv
source venv/bin/activate
  1. Install dependencies:

    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:

{
  "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:

{
  "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:
    * 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`
  1. 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.
  1. 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.
  1. Environment issues:
* Make sure `virtualenv` is activated if using one.
* Verify `PYTHONPATH` is set correctly.
* Check file permissions.
  1. Test server manually:

    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.
  1. 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/Pandoras-Shell/venv/bin/python`
* For Windows: Use `C:/path/to/cloned/Pandoras-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?

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