Tool profile
homeassistant-ai/ha-mcp
github.com
An MCP server that lets AI assistants control Home Assistant devices and automations using natural language.
What it does
homeassistant-ai/ha-mcp
ha-mcp is a Model Context Protocol server that enables AI assistants to interact with Home Assistant, letting users control smart home devices, query states, execute services and manage automations through natural language. It is aimed at Home Assistant users who want to drive their smart home with LLM-based assistants. It is offered as a Python project, installable as a HACS custom component that runs in-process on any Home Assistant installation type.
Tags
Categories
A concise summary has not been added yet.
FAQ
Frequently asked questions
- What is homeassistant-ai/ha-mcp?
- ha-mcp is a Model Context Protocol server that enables AI assistants to interact with Home Assistant, letting users control smart home devices, query states, execute services and manage automations through natural language. It is aimed at Home Assistant users who want to drive their smart home with LLM-based assistants. It is offered as a Python project, installable as a HACS custom component that runs in-process on any Home Assistant installation type.
- How much does homeassistant-ai/ha-mcp cost?
- homeassistant-ai/ha-mcp uses a Open source pricing model. Check the official website for current plans.
- What is homeassistant-ai/ha-mcp used for?
- homeassistant-ai/ha-mcp is listed on TolsAI under: Open Source.
- Where can I use homeassistant-ai/ha-mcp?
- homeassistant-ai/ha-mcp is available on its official website, github.com.
Explore
More in Open Source
An open-source agentic harness for a self-improving AI agent that plans and executes tasks you describe.
A vectorless, reasoning-based RAG engine that indexes documents as trees and retrieves with LLM reasoning.
A PyTorch-like Python library to build and auto-optimize LLM workflows such as chatbots, RAG and agents.
A modular web UI for generating images, video and audio with AI models like Stable Diffusion, Flux and Wan.
A step-by-step guide to designing AI systems built on LLMs, RAG, and AI agents.
Open-source AI pipeline engine for building, debugging and deploying LLM workflows and agent orchestration from your IDE.
Discussion
Discussion
Log in to join the discussion
No comments yet. Start the discussion.