home-assistant-mcp

home-assistant-mcp

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Home Assistant MCP is an integration that allows AI assistants to manage devices in a Home Assistant environment. It offers features like entity searching and advanced light controls. This integration is designed to create a seamless smart home experience through voice or natural language commands.

Home Assistant MCP

A Model Context Protocol (MCP) integration for controlling Home Assistant devices using AI assistants.

Overview

This MCP allows AI assistants to control your Home Assistant devices. It provides tools to:

  1. Search for entities in your Home Assistant instance
  2. Control devices (turn them on/off)
  3. Control light colors and brightness

Prerequisites

  • Python 3.11 or higher
  • Home Assistant instance running and accessible via API
  • Home Assistant Long-Lived Access Token

Installation

  1. Clone this repository
  2. Set up a Python environment:
cd home-assistant
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install -U pip
pip install uv
uv pip install -e .

Configuration

Get a Home Assistant Long-Lived Access Token

  1. Go to your Home Assistant instance
  2. Navigate to your profile (click on your username in the sidebar)
  3. Scroll down to "Long-Lived Access Tokens"
  4. Create a new token with a descriptive name like "MCP Integration"
  5. Copy the token (you'll only see it once)

Set up in Cursor AI

Add the following configuration to your MCP configuration in Cursor:

{
  "mcpServers": {
    "home_assistant": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/your/home-assistant-mcp",
        "run",
        "main.py"
      ],
      "env": {
        "HOME_ASSISTANT_TOKEN": "your_home_assistant_token_here"
      },
      "inheritEnv": true
    }
  }
}

Replace:

  • /path/to/your/home-assistant with the actual path to this directory
  • your_home_assistant_token_here with your Home Assistant Long-Lived Access Token

Home Assistant URL Configuration

By default, the MCP tries to connect to Home Assistant at http://homeassistant.local:8123.

If your Home Assistant is at a different URL, you can modify the HA_URL variable in app/config.py.

Usage

Once configured, you can use Cursor AI to control your Home Assistant devices:

  • Search for devices: "Find my living room lights"
  • Control devices: "Turn on the kitchen light"
  • Control light colors: "Set my living room lights to red"
  • Adjust brightness: "Set my dining room lights to blue at 50% brightness"

Light Control Features

The MCP now supports advanced light control capabilities:

  1. Color Control: Set any RGB color for compatible lights

    • Specify colors using RGB values (0-255 for each component)
    • Example: set_device_color("light.living_room", 255, 0, 0) for red
  2. Brightness Control: Adjust light brightness

    • Optional brightness parameter (0-255)
    • Can be combined with color changes
    • Example: set_device_color("light.dining_room", 0, 0, 255, brightness=128) for medium-bright blue

Troubleshooting

  • If you get authentication errors, verify your token is correct and has not expired
  • Check that your Home Assistant instance is reachable at the configured URL
  • For color control issues:
    • Verify that your light entity supports RGB color control
    • Check that the light is turned on before attempting to change colors

Future Capabilities

Dynamic Entity Exposure

The current implementation requires a two-step process to control devices:

  1. Search for entities using natural language
  2. Control the entity using its specific entity_id

A planned enhancement is to create a more dynamic way to expose entities to the control devices tool, allowing the AI to:

  • Directly control devices through more natural commands (e.g., "turn off the kitchen lights")
  • Cache frequently used entities for faster access
  • Support more complex operations like adjusting brightness, temperature, or other attributes
  • Handle entity groups and scenes more intuitively

This would significantly reduce the time to action and create a more seamless user experience when controlling Home Assistant devices through an AI assistant.