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- mcp-ssh-toolkit-py
Mcp Ssh Toolkit Py
What is Mcp Ssh Toolkit Py
mcp-ssh-toolkit-py is a powerful MCP server designed for secure SSH command execution using the Model Context Protocol.
Use cases
Use cases include automating DevOps tasks with LLMs, managing servers via a chat interface, executing scripts securely on remote machines, and integrating SSH functionalities within the MCP framework.
How to use
To use mcp-ssh-toolkit-py, install it via pip or use the provided Docker image. Then, you can execute commands on remote servers through the MCP client by calling the ‘ssh_execute_command’ function with the necessary parameters.
Key features
Key features include secure SSH command execution, SFTP file transfer capabilities, support for multiple authentication methods (password and SSH keys), and configurable connection parameters.
Where to use
mcp-ssh-toolkit-py can be used in various fields such as DevOps automation, server management, and secure remote script execution, particularly in environments that leverage the MCP ecosystem.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Ssh Toolkit Py
mcp-ssh-toolkit-py is a powerful MCP server designed for secure SSH command execution using the Model Context Protocol.
Use cases
Use cases include automating DevOps tasks with LLMs, managing servers via a chat interface, executing scripts securely on remote machines, and integrating SSH functionalities within the MCP framework.
How to use
To use mcp-ssh-toolkit-py, install it via pip or use the provided Docker image. Then, you can execute commands on remote servers through the MCP client by calling the ‘ssh_execute_command’ function with the necessary parameters.
Key features
Key features include secure SSH command execution, SFTP file transfer capabilities, support for multiple authentication methods (password and SSH keys), and configurable connection parameters.
Where to use
mcp-ssh-toolkit-py can be used in various fields such as DevOps automation, server management, and secure remote script execution, particularly in environments that leverage the MCP ecosystem.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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 🚀
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)
- Clone the repository:
git clone https://github.com/VitalyMalakanov/mcp-ssh-toolkit-py.git
cd mcp-ssh-toolkit-py
- Build the Docker image:
docker build -t mcp-ssh-toolkit-py .
- (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):
Usage
Tool: ssh_execute_command
Description:
Execute a command on a remote server via SSH.
Input parameters:
host(string, required): SSH server addressusername(string, required): SSH usernamepassword(string, optional): SSH passwordprivateKey(string, optional): Path to SSH private key (PEM)command(string, required): Command to executeport(integer, optional, default 22): SSH porttimeout(integer, optional, default 20): Connection timeout (seconds)
Output:
stdout: Command outputstderr: Error outputexit_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.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










