How does MCP-HASS ensure a reliable connection to Home Assistant?

It utilizes a robust dual-API client (REST for states/services and WebSocket for registries) and features self-healing logic with automatic reconnection and retry mechanisms for stable connectivity.

MCP-HASS integrates AI assistants with Home Assistant, turning your smart home entities and services into callable tools via the Model Context Protocol (MCP) for monitoring and control.

What types of smart home interactions can AI assistants perform with MCP-HASS?

AI assistants gain access to 10 specialized MCP tools, enabling functions like discovering entities, calling services, managing areas/devices, capturing camera snapshots, and reloading YAML configurations.

Is MCP-HASS optimized for AI assistant context windows?

Yes, it provides token-aware responses with configurable limits to efficiently manage LLM context windows and prevent token overflow, ensuring smooth AI interactions.

What deployment options are available for MCP-HASS?

MCP-HASS supports two primary deployment modes: stdio for seamless integration with Claude Desktop, and HTTP for Docker or any other compatible Model Context Protocol client.

Home Assistant

Name: Home Assistant
Author: max-rousseau

bymax-rousseau

0•

Desarrollo de API

Productividad y Flujo de Trabajo

Ciencia de Datos y ML

Connects AI assistants to Home Assistant, exposing smart home entities and services via the Model Context Protocol.

MCP-HASS serves as a crucial bridge between AI assistants and your smart home, enabling intelligent monitoring and control through Home Assistant. By implementing the Model Context Protocol (MCP), it translates Home Assistant's diverse functionalities—including entities, services, areas, devices, and cameras—into a set of interoperable MCP tools. This allows any compatible AI client to interact with your smart home environment, from checking device states to executing complex automation routines, all while managing LLM context window limits with token-aware responses. Its modular, dependency-injection architecture ensures robust and self-healing connections to Home Assistant.

Características Principales

01Utilizes a dual-API client for Home Assistant: REST for states/services and WebSocket for registries

02Ensures self-healing connections with automatic reconnection and retry logic

03Manages LLM context windows with token-aware responses and configurable limits

04Supports dual deployment modes: stdio for Claude Desktop and HTTP for Docker/any MCP client

050 GitHub stars

06Provides 10 specialized MCP tools for comprehensive smart home interaction

Casos de Uso

01Provide AI clients with the ability to discover and manage areas, devices, and entities within a smart home

02Enable AI assistants to monitor and retrieve real-time data from smart home entities

03Allow AI to control smart home devices and trigger automations via Home Assistant services