"The most widely used models" matching MCP servers:

MCP server for Benny the dog's health and care monitoring, allowing users to log care events like water refills, barks, movement, sausage deliveries, movie time, and wake calls, with automatic loneliness detection and Boomy robot integration.

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

Read-only MCP server for Home Assistant that computes statistical summaries, trends, and session detection from recorded sensor history, returning compact tables instead of raw data so small local models can answer questions about energy usage, climate, and appliance activity without token-heavy arithmetic.

Enables control of SwitchBot devices by name, reducing the risk of AI misidentifying device IDs.

Central user-state database MCP server with durable profile facts and live virtual sensors (stress, room intensity) with configurable smoothing, readable by any agent or smart-home service.

Enables AI assistants to control Govee smart devices, including lights, via natural language. Supports turning on/off, changing colors, adjusting brightness, and activating scenes through the Govee API or local network.

Enables AI assistants to interact with Ring cameras and doorbells through the official Amazon Vision API, supporting device listing, health status, event history, and live WebRTC streaming via natural language.

Enables control of Philips Hue lights through Claude and other LLM interfaces using the OpenHue CLI.

Enables management of your home bar inventory and cocktail discovery through Bar Assistant. View shelf ingredients, find cocktails you can make, and add or remove items from your bar collection.

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 AI agents to manage Keenetic routers through the same RCI API used by the router's web interface, working directly over the local network without cloud involvement. It supports reading device statuses and executing configuration changes, with confirm, dry-run, and destructive-action safeguards.

An MCP server that bridges the physical world and AI models by enabling natural language control of IoT hardware via the MQTT protocol. It supports real-time device monitoring, command publishing, and response handling for seamless integration between AI clients and physical devices.

Enables AI assistants to manage UniFi network infrastructure through 50+ tools covering devices, clients, networks, WiFi, firewall rules, and guest access using the official UniFi Network API.

Links IoT devices to AI large models using the MCP and MQTT protocols, enabling natural language control, real-time AI responses, and complex instruction execution for interconnected IoT devices.

A bridge connecting physical hardware with AI large language models through the Model Context Protocol (MCP), enabling natural language control of TCP devices.

MCP server for OpenHAB v5+ that exposes the entire REST API as tools for AI models, enabling complete control over items, things, rules, persistence, and semantic model.

A bridge that connects physical hardware devices with AI large language models via serial communication, allowing users to control hardware using natural language commands.

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 AI models to interact with TagoIO IoT platform accounts, providing access to device management, real-time data analysis, and AI-powered code generation for IoT development workflows.

Enables MCP clients to interact with the Ubidots IoT platform for managing IoT devices, data, and automation through natural language.