"Improving the Intelligence of Large Language Models" matching MCP servers:

Enables household members to use Alexa+ in their own language and script, with shared lists, reminders, devices, and messages stored as spoken and rendered for each person.

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.

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.

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.

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

Bridges Web of Things (WoT) devices to AI assistants via MCP, enabling discovery, monitoring, and control of IoT devices through natural language.

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

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.

Provides MQTT communication capabilities for Large Language Models and other clients, enabling connections to MQTT brokers, publishing and subscribing to topics, and managing real-time messaging workflows.

Enables AI agents to discover and call Xyte's device management API endpoints with typed validation, supporting fleet investigation, ticket management, and routine operations through natural language.

An unofficial read-only MCP server for Panasonic AiSEG2 home energy management controllers, enabling clients to read live power flow, per-circuit consumption, circuit names, daily totals, and historical energy/cost data from the device's local web interface.

A collection of personal Model Context Protocol servers for tools like calendar, contacts, flights, home maintenance, iMessage, lawn care, mail, NextDNS, Obsidian search, Google Sheets, UniFi, weather, and YNAB, packaged as a uv workspace with Claude Code and Codex plugin support.

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).

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.

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.

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.

MCP server for Blue Iris NVR, enabling camera health checks, live/historical snapshots, clip/alert search, and PTZ control via the Blue Iris JSON API.

MCP server for administering a Zigbee2MQTT estate, enabling mesh health monitoring, device management, firmware updates, pairing, binding, and reporting via natural language.