Model Context Protocol Server for Home Assistant

The server uses the MCP protocol to share access to a local Home Assistant instance with an LLM application.

A powerful bridge between your Home Assistant instance and Language Learning Models (LLMs), enabling natural language control and monitoring of your smart home devices through the Model Context Protocol (MCP). This server provides a comprehensive API for managing your entire Home Assistant ecosystem, from device control to system administration.

Features

• 🎮 Device Control: Control any Home Assistant device through natural language
• 🔄 Real-time Updates: Get instant updates through Server-Sent Events (SSE)
• 🤖 Automation Management: Create, update, and manage automations
• 📊 State Monitoring: Track and query device states
• 🔐 Secure: Token-based authentication and rate limiting
• 📱 Mobile Ready: Works with any HTTP-capable client

Real-time Updates with SSE

The server includes a powerful Server-Sent Events (SSE) system that provides real-time updates from your Home Assistant instance. This allows you to:

• 🔄 Get instant state changes for any device
• 📡 Monitor automation triggers and executions
• 🎯 Subscribe to specific domains or entities
• 📊 Track service calls and script executions

Quick SSE Example

const eventSource = new EventSource(
  'http://localhost:3000/subscribe_events?token=YOUR_TOKEN&domain=light'
);

eventSource.onmessage = (event) => {
  const data = JSON.parse(event.data);
  console.log('Update received:', data);
};

See SSE_API.md for complete documentation of the SSE system.

Table of Contents

• Key Features
• Prerequisites
• Installation
  • Basic Setup
  • Docker Setup (Recommended)
• Configuration
• Development
• API Reference
• OpenAI Integration
• Natural Language Integration
• Troubleshooting
• Project Status
• Contributing
• Resources
• License

Key Features

Core Functionality 🎮

• Smart Device Control
  • 💡 Lights: Brightness, color temperature, RGB color
  • 🌡️ Climate: Temperature, HVAC modes, fan modes, humidity
  • 🚪 Covers: Position and tilt control
  • 🔌 Switches: On/off control
  • 🚨 Sensors & Contacts: State monitoring
  • 🎵 Media Players: Playback control, volume, source selection
  • 🌪️ Fans: Speed, oscillation, direction
  • 🔒 Locks: Lock/unlock control
  • 🧹 Vacuums: Start, stop, return to base
  • 📹 Cameras: Motion detection, snapshots

System Management 🛠️

• Add-on Management

  • Browse available add-ons
  • Install/uninstall add-ons
  • Start/stop/restart add-ons
  • Version management
  • Configuration access

• Package Management (HACS)

  • Integration with Home Assistant Community Store
  • Multiple package types support:
    • Custom integrations
    • Frontend themes
    • Python scripts
    • AppDaemon apps
    • NetDaemon apps
  • Version control and updates
  • Repository management

• Automation Management

  • Create and edit automations
  • Advanced configuration options:
    • Multiple trigger types
    • Complex conditions
    • Action sequences
    • Execution modes
  • Duplicate and modify existing automations
  • Enable/disable automation rules
  • Trigger automation manually

Architecture Features 🏗️

• Intelligent Organization

  • Area and floor-based device grouping
  • State monitoring and querying
  • Smart context awareness
  • Historical data access

• Robust Architecture

  • Comprehensive error handling
  • State validation
  • Secure API integration
  • TypeScript type safety
  • Extensive test coverage

Prerequisites

• Bun 1.0.26 or higher
• Docker Compose for containerization
• Running Home Assistant instance
• Home Assistant long-lived access token (How to get token)
• HACS installed for package management features
• Supervisor access for add-on management

Installation

Basic Setup

# Clone the repository
git clone https://github.com/jango-blockchained/homeassistant-mcp.git
cd homeassistant-mcp

# Install dependencies
bun install

# Build the project
bun run build

Docker Setup (Recommended)

The project includes Docker support for easy deployment and consistent environments across different platforms.

1. Clone the repository:

   git clone https://github.com/jango-blockchained/homeassistant-mcp.git
   cd homeassistant-mcp
   

2. Configure environment:

   cp .env.example .env
   

   Edit the .env file with your Home Assistant configuration:

   # Home Assistant Configuration
   HASS_HOST=http://homeassistant.local:8123
   HASS_TOKEN=your_home_assistant_token
   HASS_SOCKET_URL=ws://homeassistant.local:8123/api/websocket
   
   # Server Configuration
   PORT=3000
   BUN_ENV=production
   DEBUG=false
   

3. Build and run with Docker Compose:

   # Build and start the containers
   docker compose up -d
   
   # View logs
   docker compose logs -f
   
   # Stop the service
   docker compose down
   

4. Verify the installation: The server should now be running at http://localhost:3000. You can check the health endpoint at http://localhost:3000/health.

5. Update the application:

   # Pull the latest changes
   git pull
   
   # Rebuild and restart the containers
   docker compose up -d --build
   

Docker Configuration

The Docker setup includes:

• Multi-stage build using Bun for optimal performance
• Health checks for container monitoring
• Volume mounting for environment configuration
• Automatic container restart on failure
• Exposed port 3000 for API access

Docker Compose Environment Variables

All environment variables can be configured in the .env file. The following variables are supported:

• HASS_HOST: Your Home Assistant instance URL
• HASS_TOKEN: Long-lived access token for Home Assistant
• HASS_SOCKET_URL: WebSocket URL for Home Assistant
• PORT: Server port (default: 3000)
• BUN_ENV: Environment (production/development)
• DEBUG: Enable debug mode (true/false)

Configuration

Environment Variables

# Home Assistant Configuration
HASS_HOST=http://homeassistant.local:8123  # Your Home Assistant instance URL
HASS_TOKEN=your_home_assistant_token       # Long-lived access token
HASS_SOCKET_URL=ws://homeassistant.local:8123/api/websocket  # WebSocket URL

# Server Configuration
PORT=3000                # Server port (default: 3000)
BUN_ENV=production     # Environment (production/development)
DEBUG=false            # Enable debug mode

# Test Configuration
TEST_HASS_HOST=http://localhost:8123  # Test instance URL
TEST_HASS_TOKEN=test_token           # Test token

Configuration Files

1. Development: Copy .env.example to .env.development
2. Production: Copy .env.example to .env.production
3. Testing: Copy .env.example to .env.test

Development

# Development mode with hot reload
bun run dev

# Run tests
bun test

# Run tests with coverage
bun test --coverage

# Build the project
bun run build

# Start the production server
bun start

API Reference

For detailed API documentation, please refer to:

• API Documentation - Complete API reference
• SSE API Documentation - Server-Sent Events documentation

OpenAI Integration

The server includes powerful AI analysis capabilities powered by OpenAI's GPT-4 model. This feature provides intelligent analysis of your Home Assistant setup through two main modes:

1. Standard Analysis

Performs a comprehensive system analysis including:

• System Overview
• Performance Analysis
• Security Assessment
• Optimization Recommendations
• Maintenance Tasks

# Run standard analysis
bun run test:openai
# Select option 1 when prompted

2. Custom Prompt Analysis

Allows you to ask specific questions about your Home Assistant setup. The analysis can include:

• Device States
• Configuration Details
• Active Devices
• Device Attributes (brightness, temperature, etc.)

# Run custom analysis
bun run test:openai
# Select option 2 when prompted

Configuration

To use the OpenAI integration, you need to set up your OpenAI API key in the .env file:

OPENAI_API_KEY=your_openai_api_key

Troubleshooting

Common Issues

1. Connection Issues

   • Verify Home Assistant is running
   • Check HASS_HOST accessibility
   • Validate token permissions
   • Ensure WebSocket connection for real-time updates

2. Add-on Management Issues

   • Verify Supervisor access
   • Check add-on compatibility
   • Validate system resources

3. HACS Integration Issues

   • Verify HACS installation
   • Check HACS integration status
   • Validate repository access

4. Automation Issues

   • Verify entity availability
   • Check trigger conditions
   • Validate service calls
   • Monitor execution logs

Project Status

✅ Complete

• Entity, Floor, and Area access
• Device control (Lights, Climate, Covers, Switches, Contacts)
• Add-on management system
• Package management through HACS
• Advanced automation configuration
• Basic state management
• Error handling and validation
• Docker containerization
• Jest testing setup
• TypeScript integration
• Environment variable management
• Home Assistant API integration
• Project documentation

🚧 In Progress

• WebSocket implementation for real-time updates
• Enhanced security features
• Tool organization optimization
• Performance optimization
• Resource context integration
• API documentation generation
• Multi-platform desktop integration
• Advanced error recovery
• Custom prompt testing
• Enhanced macOS integration
• Type safety improvements
• Testing coverage expansion

Contributing

1. Fork the repository
2. Create a feature branch
3. Implement your changes
4. Add tests for new functionality
5. Ensure all tests pass
6. Submit a pull request

Resources

• MCP Documentation
• Home Assistant Docs
• HA REST API
• HACS Documentation
• TypeScript Documentation

License

MIT License - See LICENSE file

Performance Benefits with Bun

This project leverages Bun's high-performance runtime and package manager for:

• 🚀 Faster Execution: Bun's JavaScript runtime is significantly faster than Node.js
• ⚡ Quick Development: Hot reload and TypeScript support out of the box
• 📦 Efficient Package Management: Faster installation and better dependency resolution
• 🧪 Integrated Testing: Built-in test runner with Jest compatibility
• 🔄 Native TypeScript Support: No transpilation needed for development

Development Workflow

Testing

# Run all tests
bun test

# Run tests in watch mode
bun test --watch

# Run tests with coverage
bun test --coverage

# Run specific test file
bun test path/to/test.test.ts

Building

# Build the project
bun run build

# Clean and rebuild
bun run clean && bun run build

Type Checking

# Check types
bun run types:check

# Install type definitions
bun run types:install

Linting

# Run ESLint
bun run lint

# Fix linting issues
bun run lint:fix

Troubleshooting

Common Issues

1. Connection Issues

   • Verify Home Assistant is running
   • Check HASS_HOST accessibility
   • Validate token permissions
   • Ensure WebSocket connection for real-time updates

2. Add-on Management Issues

   • Verify Supervisor access
   • Check add-on compatibility
   • Validate system resources

3. HACS Integration Issues

   • Verify HACS installation
   • Check HACS integration status
   • Validate repository access

4. Automation Issues

   • Verify entity availability
   • Check trigger conditions
   • Validate action sequences
   • Debug execution flow

Performance Optimization

1. Development Mode

   • Use bun --watch for faster development cycles
   • Enable hot module replacement
   • Utilize Bun's built-in performance tools

2. Production Mode

   • Use production builds for optimal performance
   • Enable compression and caching
   • Implement proper error handling

3. Docker Optimization

   • Use multi-stage builds
   • Implement proper caching
   • Optimize layer ordering

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Install dependencies (bun install)
4. Make your changes
5. Run tests (bun test)
6. Commit your changes (git commit -m 'Add amazing feature')
7. Push to the branch (git push origin feature/amazing-feature)
8. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.