Home Assistant MCP
An MCP integration for controlling Home Assistant devices with AI assistants.
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
Prerequisites
- Python 3.11 or higher
- Home Assistant instance running and accessible via API
- Home Assistant Long-Lived Access Token
Installation
Installing via Smithery
To install Home Assistant Integration for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @hpohlmann/home-assistant-mcp --client claude
Manual Installation
- Clone this repository
- 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
- 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:
{
"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-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.
संबंधित सर्वर
Kone.vc
प्रायोजकMonetize your AI agent with contextual product recommendations
OneNote by CData
A read-only MCP server for querying live data from Microsoft OneNote using the CData JDBC Driver.
harvest-mcp-server
Harvest time tracking integration with 40+ tools for managing time entries, projects, clients, tasks, and generating time reports via the Harvest API v2
YouTube MCP
Connect AI assistants to YouTube - search, transcripts, metadata, and more.
Follow Up Boss MCP Server
157-tool MCP server for Follow Up Boss CRM covering contacts, deals, pipeline, tasks, emails, smart lists, action plans, and webhooks.
ToolRoute
Intelligent routing layer for AI agents — recommends the best MCP server and LLM for any task, scored on 132+ real benchmark executions.
Excel to PDF MCP Server
Convert Excel and Apple Numbers files to PDF format.
Confluence
Provides secure access to Atlassian Confluence content and spaces using its REST API.
Google Calendar
Integrates with Google Calendar to read, create, update, and search for calendar events.
repo-graph
Structural graph map of any codebase. LLM queries the graph instead of grepping through everything. 13 languages, auto-detected flows, cross-stack linking. Zero deps.
Perfect Wiki
Effortlessly turn your company knowledge into a powerful, always-evolving AI agent that understands and supports your colleagues and customers right in Microsoft Teams & Slack