Model Context Protocol Server for Home Assistant
@tevonsb
About Model Context Protocol Server for Home Assistant
A MCP server for Home Assistant
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"homeassistant-mcp": {
"command": "docker",
"args": [
"compose",
"up",
"-d"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Model Context Protocol Server for Home Assistant?
It is an MCP server that bridges a local Home Assistant instance with Language Learning Models (LLMs), enabling natural language control and monitoring of smart home devices. It provides a comprehensive API for device control, automation management, add-on management, and package management (HACS).
How to use Model Context Protocol Server for Home Assistant?
Install via Node.js (npm install, npm run build) or Docker Compose. Configure environment variables: HASS_HOST, HASS_TOKEN, HASS_SOCKET_URL, and server options. Run the server and connect an MCP client (e.g., Claude Desktop) by adding the server to the client config with the command node <path>/dist and environment variables.
Key features of Model Context Protocol Server for Home Assistant
- Control lights, climate, covers, switches, sensors, media players, fans, locks, vacuums, cameras.
- Real‑time updates via Server‑Sent Events (SSE).
- Manage Home Assistant add‑ons (install, start, stop, restart).
- Full integration with Home Assistant Community Store (HACS) packages.
- Create, duplicate, enable/disable automations with complex triggers, conditions, actions.
- Token‑based authentication and rate limiting; Docker support.
Use cases of Model Context Protocol Server for Home Assistant
- Use natural language to turn on lights, adjust thermostats, or control media players.
- Monitor real‑time device state changes and automation executions through SSE.
- Automate routine tasks by creating or modifying automations programmatically.
- Manage add‑ons and HACS packages from an LLM interface.
FAQ from Model Context Protocol Server for Home Assistant
What are the prerequisites?
Node.js 20.10.0+, npm, Docker Compose (optional), a running Home Assistant instance with a long‑lived access token, and optionally HACS and Supervisor for full features.
How do I configure the server?
Set environment variables in a .env file: HASS_HOST, HASS_TOKEN, HASS_SOCKET_URL, PORT, NODE_ENV, DEBUG. Use .env.example as a template.
Can I deploy with Docker?
Yes, Docker Compose is recommended. Clone the repo, copy .env.example to .env, edit the configuration, then run docker compose up -d. The server runs on port 3000.
What transports and authentication are supported?
The server uses HTTP endpoints with token‑based authentication (the HASS_TOKEN). Real‑time updates use SSE over HTTP. No other transports are mentioned.
Are there any known limits?
No limits are stated in the README. The server supports rate limiting and has extensive test coverage (95%).
Frequently asked questions
What are the prerequisites?
Node.js 20.10.0+, npm, Docker Compose (optional), a running Home Assistant instance with a long‑lived access token, and optionally HACS and Supervisor for full features.
How do I configure the server?
Set environment variables in a `.env` file: `HASS_HOST`, `HASS_TOKEN`, `HASS_SOCKET_URL`, `PORT`, `NODE_ENV`, `DEBUG`. Use `.env.example` as a template.
Can I deploy with Docker?
Yes, Docker Compose is recommended. Clone the repo, copy `.env.example` to `.env`, edit the configuration, then run `docker compose up -d`. The server runs on port 3000.
What transports and authentication are supported?
The server uses HTTP endpoints with token‑based authentication (the `HASS_TOKEN`). Real‑time updates use SSE over HTTP. No other transports are mentioned.
Are there any known limits?
No limits are stated in the README. The server supports rate limiting and has extensive test coverage (95%).
Basic information
More AI & Agents MCP servers
Orders of Magnitude — x402 API Catalog
OrdersOfMagnitudeLLC1000+ pay-per-call API endpoints across finance, weather, geography, economic data, agent infrastructure (memory, coordination, secrets, simulation, verification), and NS compute. Payments via x402 protocol on Base/USDC.

Nero AI Image Processing
nero-comWe provide AI-powered tools for image enhancement, upscaling, background removal, photo restoration, colorization, denoising, and compression. All features are available through our API documentation.
UnificAlly MCP
unifically-devUnificAlly MCP server. One API for 100+ AI video, image, music and speech models. https://mcp.unifically.com/mcp

Simplepages
SimplepagesBuild and edit landing pages and websites from your AI assistant, and pull how they are performing.
21st.dev Magic AI Agent
21st-devIt's like v0 but in your Cursor/WindSurf/Cline. 21st dev Magic MCP server for working with your frontend like Magic
Comments