"Using AI to control and access data from Home Assistant and smart home devices" matching MCP servers:

Expose all Home Assistant voice intents through a Model Context Protocol Server allowing home control.

A Model Context Protocol server that allows large language models to control and query Home Assistant smart home systems through natural language interactions.

Enables Alexa+ to call a curated set of Streamable HTTP tools that bridge voice requests to a persistent personal AI agent for asynchronous tasks, memory, home control, calendar, GitHub, and messaging.

Provides tools for AI assistants to interact with smart home devices through Home Assistant, allowing operations like checking entity states and calling services.

Enables AI agents to control and monitor Home Assistant smart home devices through natural language interactions. Supports device control, entity state monitoring, history access, and automation generation with both MCP protocol and standalone HTTP REST API modes.

A dynamic MCP server that hot-reloads tools at runtime and provides URL tracking, onboarding, and scouting features for AI clients.

Enables control of TP-Link Kasa smart home devices through natural language commands. Supports device control, lighting scenes, room-based organization, and real-time status monitoring for smart plugs and bulbs.

A server that enables interaction with Home Assistant devices and automations through the Model Context Protocol, allowing users to monitor device states, control devices, trigger automations, and list entities.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

A Home Assistant Custom Component that provides an MCP server using HTTP transport, allowing AI assistants like Claude to interact with your Home Assistant instance.

Self-hosted credential store and API proxy for AI agents. One Bearer token, all your services. Handles OAuth refresh, encrypted storage, audit logging, and per-agent permissioning.

A server that enables control of smart home devices through the Jenius AI agent system, connecting to Home Assistant to manage devices like Xiaomi air purifiers and smart speakers.

Enables LLMs to discover and invoke generated API actions as MCP tools and read context through MCP resources for list and get-by-id operations. It provides HTTP-based MCP access for clients such as Cursor and Claude without extra glue code.

Enables AI agents to drive a real headful Chrome browser using vision-first computer interactions, with support for multi-agent tab groups, password-manager-filled logins, and human handoff.

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

A personal MCP bridge that lets ChatGPT drive a local Codex CLI, translating instructions into Codex app-server threads and returning compact summaries of what Codex did.

Enables AI-powered research by breaking a topic into subtopics, gathering information via agents, and compiling a report. Integrates with LangGraph and RAG for orchestration and contextual retrieval.

Lets any number of concurrent Claude Code sessions drive a Firefox browser through the Browser Control extension by funneling every session's commands over a single shared port via a background daemon and private unix socket. Sessions no longer have to compete for a limited pool of extension ports, and requests stay isolated through per-request correlation ids.

Operate the OpenClaw gateway's full management surface from any MCP client — list and trigger crons, inspect sessions, configure agents and channels, manage skills and secrets, pair devices, and more via 134 typed tools.

Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.