This MCP server enables AI assistants to control Home Assistant smart home devices through natural language commands.
Capabilities:
Search for devices - Find Home Assistant entities using natural language descriptions (e.g., "office light", "kitchen fan") to discover their entity IDs and friendly names
Control device power - Turn any Home Assistant entity on or off by specifying its entity ID and desired state
Set light colors - Change RGB colors of compatible light entities using red, green, and blue values (0-255)
Adjust brightness - Control light brightness levels (0-255) when setting colors or independently
Two-step workflow - Search for entities using natural language, then control them using their specific entity IDs
Requirements:
Home Assistant instance accessible via API
Long-Lived Access Token for authentication
Python 3.11 or higher
Allows AI assistants to control Home Assistant devices, providing tools to search for entities in a Home Assistant instance and control devices (turn them on/off) through the Home Assistant API.
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:
Search for entities in your Home Assistant instance
Control devices (turn them on/off)
Control light colors and brightness
Related MCP server: Home Assistant MCP Server
Prerequisites
Python 3.11 or higher
Home Assistant instance running and accessible via API
Home Assistant Long-Lived Access Token
Installation
Clone this repository
Set up a Python environment:
Configuration
Get a Home Assistant Long-Lived Access Token
Go to your Home Assistant instance
Navigate to your profile (click on your username in the sidebar)
Scroll down to "Long-Lived Access Tokens"
Create a new token with a descriptive name like "MCP Integration"
Copy the token (you'll only see it once)
Set up in Cursor AI
Add the following configuration to your MCP configuration in Cursor:
Replace:
/path/to/your/home-assistantwith the actual path to this directoryyour_home_assistant_token_herewith 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:
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
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:
Search for entities using natural language
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.