MCP Home Assistant

Build smart home automations with AI - just describe what you want in natural language

You should start by installing the Home Assistant Vibecode Agent: https://github.com/Coolver/home-assistant-cursor-agent

Transform your smart home management! This MCP server enables Cursor AI, Visual Studio Code or your favourite IDE with MCP support to:

• Analyze your Home Assistant configuration and devices
• Create intelligent automations, scripts, and complete systems
• Monitor and troubleshoot through log analysis
• Install and manage HACS integrations (1000+ custom integrations!)
• Safely deploy changes with automatic Git versioning

No more manual YAML editing or searching through documentation!

Example: "Install smart climate control for my radiators" AI creates 10+ automations, helpers, sensors, and scripts optimized for YOUR TRVs.

Built on Model Context Protocol and powered by HA Vibecode Agent.

Key Features

• Natural language - describe what you want, AI builds it
• Device-aware - analyzes YOUR actual setup
• HACS integration - install and manage 1000+ custom integrations via WebSocket
• Auto-backup - every change saved in Git automatically with meaningful commit messages
• Meaningful commits - AI automatically generates descriptive commit messages explaining what and why changed
• Instant rollback - restore any previous version with one command
• Component management - automations, scripts, helpers, entities
• Log analysis - monitor system behavior, detect anomalies, suggest optimizations
• Debug assistance - AI reads logs and identifies issues automatically

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What can you do?

AI assistants analyze your actual Home Assistant configuration and create smart automations tailored to YOUR devices:

Build Complex Systems from Scratch

• "Install HACS and then install Xiaomi Gateway 3 integration"
• "Install a smart climate control system for my TRV radiators with predictive shutdown and buffer mode"
• "Create a presence-based lighting system using my motion sensors and schedule"
• "Set up energy monitoring with notifications when consumption is high"

AI will:

1. Read your current configuration
2. Detect your devices and entities
3. Create automations, scripts, helpers
4. Test and validate everything
5. Deploy - all automatically!

Extend with Community Integrations

• "Install HACS for me"
• "Search for Xiaomi integrations in HACS"
• "Install Xiaomi Gateway 3 from HACS"
• "What themes are available in HACS?"
• "Update all my HACS repositories"

AI will:

1. Install HACS automatically
2. Search 1000+ community repositories
3. Install integrations, themes, plugins
4. Keep everything updated

Manage Add-ons & Services

• "Install Zigbee2MQTT and configure it for my Sonoff dongle"
• "Setup Mosquitto MQTT broker"
• "Install Node-RED for visual automations"
• "My Zigbee2MQTT isn't working - check the logs and fix it"
• "Update all my add-ons"

AI will:

1. Install add-ons (Zigbee2MQTT, Node-RED, ESPHome)
2. Auto-detect hardware (USB coordinators)
3. Configure options
4. Start/stop/restart services
5. Monitor logs and troubleshoot

Intelligent Configuration

• "Optimize my heating system based on room priorities and occupancy patterns"
• "Create smart scenes for movie night using my actual lights and media devices"
• "Build a security system with my door sensors and cameras"

Debug and Fix Issues

• "Why isn't my bedroom automation working? Check the logs and fix it"
• "My climate control keeps turning off early - analyze and improve the logic"

Monitor and Analyze

• "Analyze my logs and tell me if my heating system is working efficiently"
• "Check if my automations are triggering too often or missing events"
• "Compare actual system behavior with expected logic and suggest improvements"

No manual YAML editing. No copy-pasting. Just describe what you want!

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Prerequisites

Before installing, you need:

1. Home Assistant running (any version)
2. HA Vibecode Agent v2.2.0+ installed as add-on
3. Agent Key from HA Vibecode Agent (auto-generated on first start)
4. AI-enabled editor installed (Cursor AI or VS Code + GitHub Copilot)

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Quick Start (5 minutes)

Step 0: Install Node.js (if not already installed)

The MCP server requires Node.js to run on your computer (where your AI editor is installed):

1. Check if Node.js is already installed: open terminal and run node --version
2. If not installed or version is below v18.0.0, download and install from nodejs.org
3. After installation, verify: node --version should show v18.0.0 or higher
4. Important: Install Node.js on the computer where your AI editor runs, not on the Home Assistant server

Step 1: Install HA Vibecode Agent

Install the agent in your Home Assistant:

1. Go to Settings Add-ons Add-on Store
2. Click **** Repositories
3. Add: https://github.com/Coolver/home-assistant-cursor-agent
4. Install HA Vibecode Agent (v2.0.0+)
5. Start the agent

Step 2: Setup MCP in Your AI Editor

Get configuration from Home Assistant:

1. Open your Home Assistant (usually http://homeassistant.local:8123)
2. Go to Settings Add-ons HA Vibecode Agent
3. Click "Open Web UI" button
4. Click the Cursor or VS Code tab (depending on which IDE you want to use with Home Assistant) and follow the setup instructions. Youll need to install and configure Cursor or VS Code so they can connect to the HA Agent via the MCP protocol.
5. Thats it youre ready to start working with your Home Assistant scripts, automations and dashboards using AI.
   If you find this project useful and want to support its development, **please consider giving it a GitHub Star **

Step 3: Test Connection

Verify everything works:

Open your AI editor (Cursor or VS Code) and send this message to AI:

Connect to my Home Assistant and show me:
1. List of all my climate entities
2. Current status of the HA Vibecode Agent

This will verify the MCP connection is working.

If AI successfully returns your entities and agent status, you're all set!

Troubleshooting: If connection fails:

• Check that HA Vibecode Agent is running
• Ensure your AI editor was fully restarted
• Verify configuration was pasted correctly

Step 4: Start Building!

Just describe what you want in natural language - AI will handle the rest!

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Real-World Examples

Once configured, describe what you want in natural language. Your AI assistant will analyze YOUR configuration and create tailored solutions:

HACS & Integrations (NEW in v2.2.0!)

Complete HACS management via WebSocket - browse 1000+ integrations!

Install HACS for me

AI will:

• Check if HACS is already installed
• Download latest HACS release from GitHub
• Extract to custom_components/hacs
• Restart Home Assistant
• Wait for WebSocket connection
• Verify installation

Search for Xiaomi integrations in HACS

AI will:

• Connect via WebSocket
• Search HACS repository database
• Show matching integrations with:
  • Repository name
  • Description
  • Stars rating
  • Current version
  • Installation status

Install Xiaomi Gateway 3 integration from HACS

AI will:

• Verify HACS is installed
• Call hacs.download service via WebSocket
• Download and install integration
• Notify about restart requirement
• Guide you through configuration
• Create example automations

Update all my HACS integrations

AI will:

• Call hacs.update_all service
• Download all available updates
• Notify about restart
• Show what was updated

Full workflow:

User: "Install HACS and then install Xiaomi Gateway 3 and create automations"

AI:
1. Installs HACS from GitHub 
2. Restarts Home Assistant 
3. Waits for connection 
4. Searches for "Xiaomi Gateway 3" 
5. Installs integration 
6. Guides through UI configuration 
7. Creates automations for your devices 

** Powered by WebSocket** - real-time access to HACS data!

Install Complete Systems

Install a smart climate control system for my home. 
Analyze my TRV radiators, create automations for efficient 
heating with predictive shutdown, and set up a dashboard.

AI will:

• Detect your TRV entities
• Create 8-10 automations for smart heating
• Add helper entities for system state
• Create template sensors for monitoring
• Set up scripts for boiler control
• Generate Lovelace dashboard
• Test everything and deploy

Build a presence detection system using my phone trackers 
and create automations for lights, climate, and security.

AI will:

• Find your device_tracker entities
• Create zones and presence helpers
• Set up lighting automations per room
• Configure climate based on presence
• Add security notifications
• All tailored to YOUR devices!

Optimize Existing Systems

My heating system wastes energy. Analyze my current 
automations and optimize for efficiency while maintaining comfort.

AI will:

• Read current automations
• Analyze heating patterns
• Add predictive logic
• Implement adaptive cooldowns
• Keep your existing setup intact

Debug and Fix Issues

My bedroom lights automation isn't working properly. 
Check the logs, analyze the automation, and fix the issue.

AI will:

• Read automation configuration
• Check entity states
• Review agent logs for errors
• Identify the problem
• Fix and test the solution

Monitor & Analyze System Behavior

Cursor AI can read logs and analyze how your system actually works:

Read the logs and analyze how my climate control system 
is performing. Is it working as expected?

AI will:

• Read Home Assistant logs
• Analyze automation triggers and actions
• Compare actual behavior vs. expected logic
• Identify deviations or inefficiencies
• Provide detailed performance report

My heating system seems inefficient. Analyze the logs 
from the past day and suggest improvements.

AI will:

• Extract relevant log entries
• Identify patterns (frequent on/off cycles, timing issues)
• Detect edge cases or unexpected behavior
• Calculate metrics (runtime, cycles, efficiency)
• Suggest specific optimizations

Monitor my automations and tell me if they're triggering 
too often or missing important events.

AI will:

• Track automation execution frequency
• Identify over-triggering or under-triggering
• Spot missing conditions or edge cases
• Recommend refinements to triggers and conditions

Use cases:

• Performance audit - "Are my automations running efficiently?"
• Anomaly detection - "Did anything unusual happen yesterday?"
• Usage analysis - "How often does my security system trigger?"
• Optimization - "Can we reduce the number of automation runs?"
• Root cause analysis - "Why did the boiler turn off unexpectedly?"

Create Custom Solutions

I want movie mode: dim all lights, close blinds, 
turn on TV and soundbar. Create scenes and automations.

AI will:

• Detect your lights, covers, media devices
• Create input_boolean for movie mode
• Build automation with all steps
• Add script for easy activation
• Customize based on YOUR devices

Git Versioning & Rollback

Every change is automatically backed up in Git with meaningful commit messages! You can view history and rollback anytime.

Meaningful Commit Messages:

• AI automatically generates descriptive commit messages based on what you're doing
• Messages explain what changed and why (e.g., "Add automation: Control lights when motion detected")
• You can provide additional context via description parameter for even more clarity
• See COMMIT_MESSAGES.md for examples and best practices

Show me the last 10 changes to my configuration

AI will:

• Display commit history with messages
• Show what was changed and when
• Help you identify specific versions

Something broke! Rollback to the version from yesterday

AI will:

• Show recent commits
• Find the commit from yesterday
• Rollback your configuration
• Verify everything works

Show me what changed in commit abc123

AI will:

• Display detailed diff of that commit
• Explain what files were modified
• Help you understand the changes

Available Git tools:

• ha_git_history - View commit history (last 20 commits)
• ha_git_diff - Compare commits or see uncommitted changes
• ha_git_rollback - Restore to any previous version
• ha_git_commit - Manual backup with custom message

Example workflow:

1. Make changes Automatically backed up
2. Something breaks? Ask AI to show history
3. AI shows commits You identify good version
4. AI rolls back Everything restored!

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Configuration

Environment Variables

Variable	Description	Required	Default
HA_AGENT_URL	URL of HA Vibecode Agent	Yes	http://homeassistant.local:8099
HA_AGENT_KEY	Agent Key for authentication	Yes	-

Custom Agent URL

If your agent runs on a different URL:

{
  "mcpServers": {
    "home-assistant": {
      "command": "npx",
      "args": ["-y", "@coolver/home-assistant-mcp@latest"],
      "env": {
        "HA_AGENT_URL": "http://192.168.1.100:8099",
        "HA_AGENT_KEY": "your_api_key_here"
      }
    }
  }
}

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Available Tools

The MCP server provides these tools to AI assistants:

Files

• ha_read_file - Read configuration files
• ha_write_file - Write configuration files
• ha_list_files - List files in directory
• ha_delete_file - Delete files

Entities

• ha_list_entities - List all entities (with domain filter)
• ha_get_entity_state - Get specific entity state

Helpers

• ha_list_helpers - List all input helpers
• ha_create_helper - Create new input helper
• ha_delete_helper - Delete helper

Automations

• ha_list_automations - List all automations
• ha_create_automation - Create new automation
• ha_delete_automation - Delete automation

Scripts

• ha_list_scripts - List all scripts
• ha_create_script - Create new script
• ha_delete_script - Delete script

System

• ha_check_config - Check configuration validity
• ha_reload_config - Reload configuration
• ha_get_logs - Get agent logs

Backup

• ha_git_commit - Commit changes to git
• ha_git_history - View git history
• ha_git_rollback - Rollback to previous version
• ha_git_diff - Compare commits or view changes

HACS (WebSocket powered)

• ha_install_hacs - Install HACS from GitHub
• ha_hacs_status - Check installation status
• ha_hacs_list_repositories - List all repositories (filter by category)
• ha_hacs_search - Search repositories by query
• ha_hacs_install_repository - Install integration/theme/plugin
• ha_hacs_update_all - Update all installed repositories
• ha_hacs_repository_details - Get detailed repository info

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Troubleshooting

"Invalid Agent Key" error

1. Check your Agent Key is correct in mcp.json (under HA_AGENT_KEY)
2. Regenerate key if needed: Settings Add-ons HA Vibecode Agent Open Web UI
3. Make sure HA Vibecode Agent is running
4. Verify agent is accessible: curl http://homeassistant.local:8099/api/health

"Connection refused"

1. Check HA Vibecode Agent is started in Home Assistant
2. Verify the URL in HA_AGENT_URL
3. Make sure port 8099 is not blocked by firewall

"spawn npx ENOENT" error

This error means Node.js is not installed or not found in your system PATH.

Solution: Install Node.js (v18.0.0 or higher) on the computer where Cursor is running:

1. Download and install Node.js from https://nodejs.org
2. Restart Cursor completely after installation
3. Verify installation by running node --version in a terminal

Important: Node.js must be installed on your computer (where Cursor runs), not on the Home Assistant server.

Check Agent Logs

Ask Cursor AI:

Show me the agent logs

This will display what's happening in the agent.

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Security

• All communication goes through HA Vibecode Agent (port 8099)
• Agent Key authentication for MCP clients
• Agent validates Agent Key for all requests
• Agent uses internal SUPERVISOR_TOKEN for Home Assistant API operations
• Your Agent Key is stored only in local Cursor config file
• Never commit mcp.json with your Agent Key to git!

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Related Projects

• HA Vibecode Agent - Home Assistant add-on (required)
• Model Context Protocol - Protocol specification

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License

MIT Vladimir Eremeev

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Development

Project Structure

home-assistant-mcp/
 package.json            # NPM package config
 tsconfig.json           # TypeScript config
 src/
    index.ts           # MCP server entry point
    ha-client.ts       # HA Agent API client
    handlers.ts        # Tool request handlers
    tools.ts           # Legacy tool definitions
    tools/             # Modular tool definitions
        index.ts       # Tool exports
        files.ts       # File operation tools
        system.ts      # System operation tools
        dashboard.ts   # Dashboard tools
 build/                 # Compiled JavaScript output
 README.md
 CHANGELOG.md
 QUICK_START.md

Local Development

# Install dependencies
npm install

# Build
npm run build

# Test locally
export HA_AGENT_URL="http://homeassistant.local:8099"
export HA_AGENT_KEY="your_dev_key"
node build/index.js

Architecture

MCP Server (index.ts) Communication Protocol

Tool Handlers (handlers.ts) Business Logic

HA Client (ha-client.ts) HTTP API Wrapper

HA Vibecode Agent (REST API) Home Assistant Integration

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Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions

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Show your support

Give a if this project helped you control your smart home with AI!