Skip to main content

A Model Context Protocol for managing and interacting with multiple virtual machines over SSH

Project description

SSH MCP: Model Context Protocol tool for Virtual Machine Management over SSH

SSH MCP is a Model Context Protocol tool written in Python for managing and interacting with multiple virtual machines (VMs) over SSH. It simplifies executing commands on remote servers by using the standard SSH config file format and leverages the robust paramiko library to handle SSH connections and command execution securely and efficiently.


Key Features 🚀

  • Standard SSH Config: Uses the familiar ~/.ssh/config file format for managing VM connection details
  • Automatic Key Management: Uses SSH keys specified in the config file for each host
  • Remote Command Execution: Execute terminal commands on any configured VM directly from your local machine
  • MCP Integration: Provides tools for AI assistants through the Model Context Protocol
  • Simplified Workflow: Streamline your server administration tasks using standard SSH configuration

Requirements 📋

To use SSH MCP, you'll need the following on your system:

  • Python 3.12 or higher: Ensure you have a recent version of Python installed.
  • paramiko: The core Python library for the SSHv2 protocol.
  • fastmcp: For MCP server functionality.

Installation 💻

  1. Clone the Repository: Start by cloning the SSH MCP repository to your local machine
  2. Install Dependencies: Install the necessary Python libraries uv sync

Configuration ⚙️

SSH MCP uses the standard SSH configuration file format. By default, it looks for ~/.ssh/config, but you can specify a custom path using the SSH_CONFIG_PATH environment variable.

SSH Config File Setup

Create or update your ~/.ssh/config file with your server details:

Example ~/.ssh/config:

Host web-server-01
    HostName 192.168.1.101
    Port 22
    User admin
    IdentityFile ~/.ssh/id_rsa

Host db-server-01
    HostName 192.168.1.102
    Port 22
    User dba
    IdentityFile ~/.ssh/id_rsa

Host app-server-01
    HostName 192.168.1.103
    Port 2222
    User deployer
    IdentityFile ~/.ssh/id_ed25519

Environment Variables (Optional)

  • SSH_CONFIG_PATH: Path to SSH config file (defaults to ~/.ssh/config)

Usage Guide 📖

SSH MCP can be used in two ways: as a direct command-line tool or as an MCP (Model Context Protocol) server.

Direct Command-Line Usage

You can execute commands directly using the command line interface:

Basic Command Execution:

python cli.py <host> "<command_to_execute>"

Examples:

To list the files in the home directory of web-server-01:

python cli.py web-server-01 "ls -l /home/admin"

To check the disk space on db-server-01:

python cli.py db-server-01 "df -h"

MCP Server Usage

SSH MCP can also run as an MCP server, providing tools that can be used by AI assistants and other MCP clients:

python main.py

Available MCP Tools:

  1. execute_ssh_command: Execute a command on a remote host

    • Parameters: hostname (string), command (string)
  2. list_ssh_hosts: List all configured SSH hosts

    • Parameters: None
  3. get_host_info: Get detailed information about a specific host

    • Parameters: hostname (string)
  4. test_ssh_connection: Test SSH connection to a host

    • Parameters: hostname (string)

Architecture & Workflow 🏗️

SSH MCP follows a clean architecture with clear separation between configuration management, SSH operations, and MCP integration.

Class Structure

classDiagram
    class SSHConfig {
        +config_file_path: str
        +ssh_config: paramiko.SSHConfig
        +__init__()
        +_load_ssh_config() paramiko.SSHConfig
        +get_host_config(hostname) Dict
        +list_hosts() List[str]
    }
    
    class SSHClient {
        +config: SSHConfig
        +__init__(config)
        +execute_command(hostname, command) Dict
        +list_hosts() List[str]
    }
    
    class MCPTools {
        +execute_ssh_command(hostname, command) str
        +list_ssh_hosts() str
        +get_host_info(hostname) str
        +test_ssh_connection(hostname) str
    }
    
    SSHClient --> SSHConfig : uses
    MCPTools --> SSHClient : uses
    SSHConfig --> paramiko.SSHConfig : wraps

Workflow Diagram

graph TD
    A[MCP Client Request] --> B{Tool Type}
    B -->|execute_ssh_command| C[execute_ssh_command]
    B -->|list_ssh_hosts| D[list_ssh_hosts]
    B -->|get_host_info| E[get_host_info]
    B -->|test_ssh_connection| F[test_ssh_connection]
    
    C --> G[get_ssh_client]
    D --> G
    E --> G
    F --> G
    
    G --> H[SSHClient.__init__]
    H --> I[SSHConfig.__init__]
    I --> J[_load_ssh_config]
    J --> K[paramiko.SSHConfig.parse]
    
    C --> L[SSHClient.execute_command]
    L --> M[get_host_config]
    M --> N[paramiko.SSHConfig.lookup]
    N --> O[paramiko.SSHClient.connect]
    O --> P[paramiko.SSHClient.exec_command]
    
    D --> Q[SSHConfig.list_hosts]
    Q --> R[paramiko.SSHConfig.get_hostnames]
    
    E --> M
    F --> M
    F --> S[paramiko.SSHClient.connect]

Development & Testing 🧪

SSH MCP uses a focused testing approach that emphasizes real integration tests over complex mocked unit tests.

Test Structure

  • tests/test_ssh_client.py: Basic unit tests for core functionality
  • tests/test_mcp.py: Minimal MCP tool tests with simple mocking
  • tests/test_integration.py: Real integration tests that connect to actual SSH hosts

Integration Testing

The integration tests require a host named test in your SSH config. Add a host like this to ~/.ssh/config:

Host test
    HostName your-test-server.com
    User your-username
    IdentityFile ~/.ssh/your-key

The integration tests will:

  • Connect to the real SSH host
  • Execute actual Linux commands
  • Test the full MCP workflow end-to-end

Running Tests

# Run all tests
uv run pytest tests/ -v

# Run only integration tests (requires 'test' host)
uv run pytest tests/test_integration.py -v

# Run only unit tests
uv run pytest tests/test_ssh_client.py tests/test_mcp.py -v

# Run with coverage
uv run pytest tests/ --cov=ssh_mcp --cov-report=html

### Code Quality

The project uses `ruff` for linting and formatting:

```bash
# Check code quality
uv run ruff check .

# Format code
uv run ruff format .

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ssh_mcp_py-0.1.0.tar.gz (7.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ssh_mcp_py-0.1.0-py3-none-any.whl (6.7 kB view details)

Uploaded Python 3

File details

Details for the file ssh_mcp_py-0.1.0.tar.gz.

File metadata

  • Download URL: ssh_mcp_py-0.1.0.tar.gz
  • Upload date:
  • Size: 7.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.12

File hashes

Hashes for ssh_mcp_py-0.1.0.tar.gz
Algorithm Hash digest
SHA256 296725ce34bfab2bc5434ec57fe72825c2d20b7d39548e30ef65ec4d30884910
MD5 fac744a4666d352a810e64dcb29a0c97
BLAKE2b-256 b5bc6bd2ad1c640ffd18134df9c92c32409c0a5ad35bedee0b1c5f9465b71ddd

See more details on using hashes here.

File details

Details for the file ssh_mcp_py-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for ssh_mcp_py-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f3f06a74cbd40dd1e3dc394eecdfa2321836717b1533c6721c46fe93fc2f98cd
MD5 d69329dd4b700e26fdb257cf7a635f64
BLAKE2b-256 6986c7c6120a09dd73610881dae7a4451285916320fee32d4c9df899325ede70

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page