Home Assistant Model Context Protocol (MCP)
@jango-blockchained
Home Assistant Model Context Protocol (MCP) について
MCP server that gives AI assistants control over your Home Assistant. Including 50+ tools over 3 transports. Batteries included 🔋
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"advanced-homeassistant-mcp": {
"command": "npx",
"args": [
"@smithery/cli",
"install",
"@jango-blockchained/advanced-homeassistant-mcp",
"--client",
"claude"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Home Assistant Model Context Protocol (MCP)?
The Home Assistant Model Context Protocol (MCP) server connects AI assistants like Claude, GPT, Cursor, and Copilot to a Home Assistant instance. It provides over 50 tools to control smart home devices, support for three transport methods, and local voice control features, targeting both developers and smart home enthusiasts.
How to use Home Assistant Model Context Protocol (MCP)?
Install via bunx, npx, Docker, npm global, or Smithery. Configure with HASS_HOST and HASS_TOKEN environment variables. Use with Claude Desktop, Cursor, VS Code, or any MCP client. Start with one command: bunx github:jango-blockchained/advanced-homeassistant-mcp.
Key features of Home Assistant Model Context Protocol (MCP)
- 50+ tools for lights, climate, media, locks, and vacuums
- Three transports: STDIO, HTTP+WS, and HTTP fastmcp
- Supports Claude Desktop, Cursor, VS Code, and Smithery
- Speech features with wake word and speech-to-text
- Energy monitoring, maintenance, and automation management
- Full-text entity search and history queries
Use cases of Home Assistant Model Context Protocol (MCP)
- Voice-controlled smart home via AI assistants
- Automate scenes, notifications, and device management
- Monitor energy consumption and identify orphaned devices
- Remotely control Home Assistant through chat interfaces
- Debug automations with trace queries and error logs
FAQ from Home Assistant Model Context Protocol (MCP)
What do I need to run it?
A Home Assistant instance and a long-lived access token from your account profile.
How do I install it?
Use bunx, npx, Docker, npm global, or Smithery one‑click install. See the Quick Start section for details.
What transports are supported?
STDIO for local editor integrations (Claude Desktop, Cursor, VS Code) and HTTP+WS for remote AI hosts with JWT auth, plus HTTP via fastmcp.
Can I control voice?
Yes, with the speech features Docker Compose file, using wyoming‑openwakeword for wake word and faster‑whisper for speech‑to‑text.
Where does the data live?
All communication happens between the AI assistant and your Home Assistant instance; no external cloud storage is required.
「AI とエージェント」の他のコンテンツ
Web Agent Protocol
OTA-Tech-AI🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
MCP-LLM Bridge
patruffBridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools
MCP Claude Code
SDGLBLMCP implementation of Claude Code capabilities and more
欢迎来到 智言平台
Shy2593666979AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。
meGPT - upload an author's content into an LLM
adriancoCode to process many kinds of content by an author into an MCP server
コメント