Home Assistant Model Context Protocol (MCP)

by jango-blockchained

一种用于AI助手与Home Assistant交互的标准化协议,提供安全、类型化且可扩展的接口,用于控制智能家居设备。配置方式通过环境变量或.env文件进行。

Developer toolsstdioCommunity

Repository-wide counts · Cached 2025-11-01

Overview

The Home Assistant Model Context Protocol (MCP) MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the Home Assistant Model Context Protocol (MCP) repository to read the latest documentation.

KEEP EXPLORING

Compare source, connection, and authentication details before choosing an implementation.

View the complete category

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modelcontextprotocol

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一组用于模型上下文协议(MCP)的参考实现,展示了对大型语言模型(LLM)工具和数据源的安全且受控的访问方式。

Context7 Platform - Up-to-date Code Docs For Any Prompt

upstash

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Context7 MCP server providing up-to-date, version-specific documentation and code examples for libraries, enabling coding agents to fetch accurate docs and code snippets. Requires an API key for higher rate limits, passed via CONTEXT7_API_KEY header.

Playwright MCP

Microsoft Corporation

Community

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. Enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

AIHawk

feder-cr

Community

AIHawk is an anti detect browser and web browsing agent, open source, with an MCP server for coding agents: undetected, no captchas, no blocks. It requires an OpenRouter API key for the standalone web UI mode, which can be provided via the --openrouter-key flag or the OPENROUTER_API_KEY environment variable or a .env file in the running directory.

FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

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🏠 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

Cursor — add to .cursor/mcp.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"
      }
    }
  }
}
VS Code + MCP Extension

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

📦 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.

Full tool reference (all 50+ tools)
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. 🔋