mcp-ssh-toolkit-py

A minimal Model Context Protocol (MCP) server for secure SSH automation, built with python-sdk and paramiko.

Table of Contents

• Overview
• Features
• Installation
• Quickstart
• Usage
• Development
• License

Overview 🚀

mcp-ssh-toolkit-py is a powerful MCP server for secure SSH command execution via Model Context Protocol.

🔹 Key Features:

• Execute arbitrary commands on remote servers via SSH
• Upload/download files via SFTP
• Integration with Claude/Cline and other MCP clients
• Supports password and SSH key authentication
• Configurable connection parameters (timeouts, ports)

🔹 Use Cases:

• DevOps automation via LLMs
• Server management through chat interface
• Secure remote script execution
• SSH integration in MCP ecosystem

Example usage:

# Through MCP client
response = mcp.tool("ssh_execute_command", {
    "host": "example.com",
    "username": "user",
    "command": "docker ps"
})

Features ✨

Core Functionality

• 🛡️ Secure SSH command execution via MCP
• 📁 SFTP operations (file upload/download)
• 🔑 Multiple authentication methods:
  • Username/password
  • SSH keys (RSA)
  • SSH agent

Integration

• 🤖 Full compatibility with Claude/Cline
• 🐳 Ready-to-use Docker image
• 📦 Pip package installation

Security

• 🔒 Encrypted connections
• ⏱ Configurable timeouts
• 🚫 No credential storage

Installation 📦

Docker (Recommended)

1. Clone the repository:

git clone https://github.com/VitalyMalakanov/mcp-ssh-toolkit-py.git
cd mcp-ssh-toolkit-py

2. Build the Docker image:

docker build -t mcp-ssh-toolkit-py .

3. (Optional) Push to your Docker registry:

docker tag mcp-ssh-toolkit-py yourusername/mcp-ssh-toolkit-py
docker push yourusername/mcp-ssh-toolkit-py

Pip Installation

Install directly from GitHub:

pip install git+https://github.com/VitalyMalakanov/mcp-ssh-toolkit-py.git

Run the server after installation:

python -m mcp_ssh_toolkit

Development Setup

For development, install with:

git clone https://github.com/VitalyMalakanov/mcp-ssh-toolkit-py.git
cd mcp-ssh-toolkit-py
pip install -e .

Quickstart

Run with Docker

docker run --rm -i mcp-ssh-toolkit-py

MCP Integration

Add to your MCP configuration (e.g., cline_mcp_settings.json):

"mcp-ssh-toolkit-py": {
  "command": "docker",
  "args": ["run", "--rm", "-i", "mcp-ssh-toolkit-py"],
  "env": {}
}

Usage

Tool: ssh_execute_command

Description:
Execute a command on a remote server via SSH.

Input parameters:

• host (string, required): SSH server address
• username (string, required): SSH username
• password (string, optional): SSH password
• privateKey (string, optional): Path to SSH private key (PEM)
• command (string, required): Command to execute
• port (integer, optional, default 22): SSH port
• timeout (integer, optional, default 20): Connection timeout (seconds)

Output:

• stdout: Command output
• stderr: Error output
• exit_code: Exit code

Example call:

{
  "host": "example.com",
  "username": "user",
  "password": "secret",
  "command": "uname -a"
}

Development

• Python 3.8+
• python-sdk
• paramiko

Install dependencies locally:

pip install -r requirements.txt

Run locally:

python main.py

Security

• SSH credentials are never stored or logged.
• Always use strong passwords or SSH keys for authentication.
• Do not expose the MCP server to untrusted networks.
• Review paramiko security best practices.
• If you discover a security vulnerability, please report it via GitHub Issues or contact the maintainer privately.

License

MIT License. See LICENSE for details.