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URL: https://glama.ai/mcp/servers/jango-blockchained/advanced-homeassistant-mcp

⇱ HomeAssistant MCP by jango-blockchained | Glama


🏠 Home Assistant MCP

👁 Smithery
👁 Release
👁 npm
👁 Docker
👁 CI
👁 Bun
👁 Node
👁 License

Talk to your house. Your AI assistant (Claude, GPT, Cursor, Copilot) — connected to Home Assistant through the Model Context Protocol. 50+ tools, three transports, one bunx command.

# ⚡ Fastest way to try it
bunx github:jango-blockchained/advanced-homeassistant-mcp

🚀 Quick Start

You need a Home Assistant instance and a long-lived access token (create one here).

Claude Desktop

Add to claude_desktop_config.json:

{
 "mcpServers": {
 "homeassistant-mcp": {
 "command": "bunx",
 "args": ["github:jango-blockchained/advanced-homeassistant-mcp"],
 "env": {
 "HASS_HOST": "http://your-ha-instance:8123",
 "HASS_TOKEN": "your_long_lived_access_token"
 }
 }
 }
}

Restart Claude. You're done. Ask it to turn on the lights.

Cursor / VS Code

{
 "mcpServers": {
 "homeassistant-mcp": {
 "command": "bunx",
 "args": ["github:jango-blockchained/advanced-homeassistant-mcp"],
 "env": {
 "HASS_HOST": "http://your-ha-instance:8123",
 "HASS_TOKEN": "your_long_lived_access_token"
 }
 }
 }
}

Set your env vars in a .env file and use the pre-configured .vscode/mcp.json:

{
 "mcp.servers": {
 "homeassistant-mcp": {
 "type": "stdio",
 "command": "bun",
 "args": ["run", "dist/stdio-server.mjs"],
 "env": {
 "HASS_HOST": "${env:HASS_HOST}",
 "HASS_TOKEN": "${env:HASS_TOKEN}"
 }
 }
 }
}

Smithery (One-Click)

Install directly from the Smithery registry — no config files needed:

npx @smithery/cli install @jango-blockchained/advanced-homeassistant-mcp --client claude

Related MCP server: smartthings-mcp

📦 All Install Options

Method

Command

Smithery (easiest)

npx @smithery/cli install @jango-blockchained/advanced-homeassistant-mcp --client claude

bunx (no install)

bunx github:jango-blockchained/advanced-homeassistant-mcp

npx

npx @jango-blockchained/homeassistant-mcp@latest

Docker

docker run -d -p 7123:7123 --env-file .env ghcr.io/jango-blockchained/advanced-homeassistant-mcp:1.7.0

From source

git clone ... && bun install && bun run build:all && bun run start:stdio

npm global

npm add -g @jango-blockchained/homeassistant-mcp && homeassistant-mcp

Available Docker tags:

  • latest - Latest stable release

  • 1.7.3, 1.7, 1 - Tagged versions

  • dev - Latest development build from main branch


🎯 What You Can Do

Once connected, you talk to your house like you talk to a human:

"Turn off all lights in the bedroom"
"Set the thermostat to 72°F"
"Lock all doors and start the vacuum"
"Show me energy consumption this week"
"What's the temperature in the living room?"
"Activate the movie scene"
"Notify everyone that dinner is ready"
"Check my Home Assistant health"
"Find orphaned devices with low battery"
"Analyze my light usage patterns"

Every command maps to one of 50+ tools — lights, climate, media, locks, covers, fans, vacuums, alarms, scenes, automations, notifications, history, energy monitoring, maintenance, and more.

Category

Tools

Lights

list, get, turn on/off, brightness, color temp, RGB, effects

Climate

list, get, HVAC modes, target temp, fan mode, humidify

Media

list, get, play/pause, volume, source, sound mode, shuffle

Covers

list, get, open/close, position, tilt, garage door

Locks

list, get, lock/unlock with code support

Fans

list, get, speed, oscillation, direction, preset

Vacuums

list, get, start/stop/dock, spot clean, fan speed

Alarm

list, get, arm home/away/night, disarm

Switches

list, get, turn on/off/toggle

Scenes

list, activate named scene

Automations

list, toggle, trigger, create/edit/delete

Notifications

push alerts via HA channels

History

query historical states

Add-ons

install, configure, control

Packages

HACS integrations and custom components

Maintenance

orphaned devices, battery warnings, energy analysis

Smart Scenarios

nobody-home mode, window/heat conflicts, energy waste

Lighting

animations, scenarios, showcase, BPM/beat detection

Voice

wake word detection, speech-to-text, voice commands

Dashboard

query and manage Lovelace dashboards

Templates

render Jinja2 templates via HA

To-Do Lists

add, update, remove items

Traces

automation/script execution traces

Search

full-text entity search with filters

Entity State

get current state of any entity

Error Log

query HA error logs with filtering

Full docs: Tools Reference


🎙️ Speech Features (Voice Control)

Transform your setup into a fully voice-controlled smart home assistant. The speech integration provides local, privacy-focused voice processing.

  • Wake Word Detection: Powered by wyoming-openwakeword (default: "Hey Jarvis").

  • Speech-to-Text: Fast, local transcription using faster-whisper.

  • Audio Integration: Direct PulseAudio integration for seamless microphone access.

To enable speech features, use the dedicated Docker Compose file:

docker-compose -f docker-compose.speech.yml up -d

See the Speech Features Guide for detailed configuration and setup instructions.


🧱 Architecture

┌──────────────┐ ┌─────────────────────┐ ┌──────────────────┐
│ AI Assistant │◄───►│ Home Assistant │◄───►│ Your Smart Home │
│ (Claude/GPT) │ │ MCP Server │ │ (Home Assistant)│
└──────────────┘ └─────────────────────┘ └──────────────────┘
 │ │
 ┌────┘ └────┐
 ▼ ▼
 ┌────────────┐ ┌──────────────┐
 │ HTTP/WS │ │ STDIO │
 │ (Express) │ │ (fastmcp v3) │
 └────────────┘ └──────────────┘

Three transports, one codebase. Pick the one that fits your setup — all expose the same 50+ tools.

  • STDIO — for Claude Desktop, Cursor, VS Code (local editor integrations)

  • HTTP+WS — for remote AI hosts, with JWT auth, rate limiting, and WebSocket streaming

  • HTTP (fastmcp) — lightweight HTTP transport without bespoke middleware


⚙️ Configuration

Minimal setup. Two variables are required:

HASS_HOST=http://homeassistant.local:8123
HASS_TOKEN=eyJ... # long-lived access token

Optional:

PORT=7123 # HTTP server port (default: 4000)
LOG_LEVEL=info # debug | info | warn | error
JWT_SECRET=... # for HTTP/WS auth (min 32 chars)

For the full list of 20+ environment variables, see the Configuration docs.


🛠️ Development

bun install # install dependencies
bun run build:all # build all three entry points
bun test # run test suite (80% coverage threshold)
bun run lint # ESLint + Prettier
bun run typecheck # TypeScript type checking

Built with Bun, TypeScript, and fastmcp. Three entry points:

  • dist/index.cjs — HTTP+WS on a custom Express-based MCP server

  • dist/stdio-server.mjs — STDIO via fastmcp v3

  • dist/http-server.mjs — HTTP via fastmcp v3


📖 Docs

Full documentation lives at jango-blockchained.github.io/advanced-homeassistant-mcp — covers installation, configuration, all 50+ tools, deployment (HTTP, STDIO, Smithery), architecture deep-dives, and guides.


🤝 Contributing

PRs welcome. Keep it simple — same code style, add tests, update docs if you touch public APIs.

  1. Fork it

  2. Branch it

  3. Code it

  4. Test it

  5. PR it

See CONTRIBUTING.md for the full guidelines.


📄 License

MIT — go build something cool.


Your smart home speaks MCP. Now your AI speaks it too. 🏠⚡🤖🔋

Batteries included. 🔋

A
license - permissive license
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quality - not tested
B
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