SSH MCP Server

An MCP (Model Context Protocol) server that gives AI agents SSH capabilities — execute commands, transfer files, and inspect remote systems.

Setup

npm install
npm run build

Related MCP server: ssh-mcp

Configuration

Create an SSH config file (see ssh-config.example.json):

{
  "hosts": {
    "production-server": {
      "host": "prod.example.com",
      "port": 22,
      "username": "deploy",
      "privateKeyPath": "/path/to/ssh/keys/prod_key",
      "passphrase": null
    }
  }
}

Point the server at it with the SSH_CONFIG_PATH environment variable.

Tools

All tools accept a host parameter that must match a key in the config file's hosts object.

Integration with Nanoclaw

Add to your .mcp.json:

{
  "mcpServers": {
    "ssh": {
      "command": "node",
      "args": ["/path/to/ssh-mcp/dist/index.js"],
      "env": {
        "SSH_CONFIG_PATH": "/path/to/ssh-config.json"
      }
    }
  }
}

Example usage

User: "Check disk usage on production-server"
Agent: calls ssh_execute_command { host: "production-server", command: "df -h /" }
Agent: "Production server: 67% used on /"

User: "Upload the config file to staging"
Agent: calls ssh_upload_file { host: "staging-server", local_path: "/tmp/app.conf", remote_path: "/etc/app/app.conf" }

Security

• Only key-based authentication is supported (no passwords).

• Hosts must be pre-registered in the config file; the agent cannot connect to arbitrary hosts.

• Private key files are read at connection time and never logged.

• Commands run non-interactively with a configurable timeout (default 30 s).

• All diagnostic output goes to stderr and does not interfere with the MCP stdio transport.