"A server for orchestrating and validating AI agents" matching MCP servers:

Enables control of Mijia (Xiaomi) smart home devices through MCP, including querying homes, devices, scenes, and specs, setting properties, running actions and scenes, and issuing speaker commands.

MCP server that translates natural language commands into SCARA robot arm control instructions, featuring simulation mode, safety validation, and multiple transport modes (STDIO/HTTP/OAuth).

Vision-capable MCP server for controlling Amazon Fire TV through Home Assistant, providing screenshot-guided observation, remote commands, and app/URI actions via authenticated REST calls.

Enables users to control Philips Hue lights through natural language, set moods, save favorites, and learn preferences over time.

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.

Enables AI agents to interact with Homey home automation systems for managing flows, devices, and zones. Perfect for bulk automation tasks like batch renaming flows, organizing them into folders, and managing devices across zones through natural language.

Server that connects MCP (Multi-Capability Platform) with OpenHAB REST API, allowing MCP to interact with OpenHAB items through operations like getItemState and sendCommand.

MCP server that provides live facility data access and operational tools, enabling the AI agent to query sensor readings, HVAC status, energy usage, alerts, and execute confirmed maintenance actions.

A control server that enables AI assistants to interact with Ecovacs robot vacuums through MCP protocol, supporting device listing, cleaning control, charging control, and status queries.

Sensact is a Supabase-hosted remote MCP server that lets LLM clients discover and invoke device capabilities on user-owned devices, using OAuth 2.1 for authorization and Postgres+Realtime as the control plane.

Enables AI agents to correlate smart-home sensor events into risk-assessed incidents and retrieve deterministic safety-policy decisions through MCP tools, without autonomous physical actions.

Enables a local Grok Bot to talk to the unofficial MySubaru API over stdio, supporting vehicle status, locate, tire pressure, fuel, odometer, climate presets, and explicit lock/unlock/remote start actions without exposing secrets.

Exposes real-time soil sensor metrics as MCP Resources and irrigation valve controls as MCP Tools, enabling AI-driven agronomic decisions with built-in safety guardrails.

Enables autonomous AI agents to safely inspect, configure, and visually validate remote Home Assistant dashboards, automations, and scripts.

Provides two Model Context Protocol servers that enable controlling IoT devices and managing persistent memory storage with semantic search capabilities.

Enables natural language control of WeMo smart home devices for power, brightness, and device management through AI assistants. It features a high-reliability multi-phase discovery process to scan, monitor, and configure devices across a local network.

An MCP server that lets AI assistants answer home appliance questions with live, structured data and cite ApplianceIQ as the source.

Enables programmatic control of Divoom Pixoo LED matrices to display layered pixel art, animations, and hardware-rendered scrolling text. Users can compose complex visual scenes, push images, and manage device settings like brightness and channels through an LLM.

Enables control of Sprut.hub smart home devices through dynamic API discovery and schema validation.

A Model Context Protocol (MCP) server that connects LLMs to vehicle data via the Eclipse Kuksa Databroker, enabling AI assistants to read and write vehicle signals using the standardized COVESA Vehicle Signal Specification.