homelab-mcp 1.3.0

MCP server for homelab VM infrastructure management with service installation framework

Homelab MCP Server

AI-Powered Homelab Infrastructure Management via the Model Context Protocol

A Python MCP server that enables AI assistants to manage, deploy, and monitor homelab infrastructure. Tools span SSH discovery, VM management, service installation, network topology mapping, Proxmox operations, and credential management.

Key Features

• SSH Discovery -- Gather comprehensive hardware and software information from any system
• Service Installation -- Deploy Jellyfin, Pi-hole, Ollama, Home Assistant, and more from templates
• Proxmox Integration -- Full API access plus community script discovery
• VM/Container Lifecycle -- Deploy, control, and remove Docker and LXD workloads
• Network Mapping -- Discover devices, analyze topology, and track changes
• Terraform and Ansible -- State-managed deployments with drift detection and playbooks
• Credential Management -- Register servers once, connect without re-entering credentials

Quick Start

# Install uv (ultra-fast Python package manager)
curl -LsSf https://astral.sh/uv/install.sh | sh

# Clone and run
git clone https://github.com/washyu/homelab_mcp.git
cd homelab_mcp
uv sync && uv run python run_server.py

For the full walkthrough (environment variables, MCP client configuration, first tool call), see the Setup Guide.

Documentation

Guide	Description
Setup Guide	From zero to first tool call
Tool Reference	All tools with arguments and examples
Configuration	Environment variables and CLI options
Claude Desktop Setup	Claude Desktop integration guide

How It Works

1. Setup -- The server generates an SSH key pair on first run (~/.ssh/mcp_admin_rsa)
2. Onboard a host -- Use setup_mcp_admin to create a managed user on the target system
3. Verify -- Use verify_mcp_admin to confirm passwordless SSH access
4. Manage -- Discover hardware, install services, control VMs, and map your network

The server communicates over stdio using the MCP protocol. Connect it to any MCP-compatible client (Claude Desktop, etc.) and interact through natural language.

MCP Client Configuration

{
  "mcpServers": {
    "homelab": {
      "command": "uv",
      "args": ["run", "python", "run_server.py"],
      "cwd": "/path/to/homelab_mcp"
    }
  }
}

Development

# Install with dev dependencies
uv sync --group dev

# Run tests (unit only, no Docker required)
uv run pytest tests/ -m "not integration"

# Code quality
uv run ruff check src/ tests/
uv run mypy src/

See DEPLOYMENT.md for production deployment details.

Project Structure

src/homelab_mcp/
  server.py              # MCP server with JSON-RPC protocol
  tool_schemas/          # Tool definitions (7 schema files)
  tool_annotations.py    # MCP annotation hints per tool
  ssh_tools.py           # SSH discovery and hardware detection
  service_installer.py   # Service installation framework
  infrastructure_crud.py # Infrastructure lifecycle management
  vm_operations.py       # VM/container operations
  sitemap.py             # Network topology mapping
  database.py            # SQLite device tracking
  service_templates/     # YAML service definitions
tests/                   # Unit and integration tests
docs/                    # Full documentation

Acknowledgments

Proxmox community script integration powered by community-scripts/ProxmoxVE (MIT License).

Contributing

1. Fork the repository
2. Create a feature branch
3. Write tests for new functionality
4. Ensure all tests pass
5. Submit a pull request

License

MIT License -- see LICENSE file for details.