"A search for information about agent pools" matching MCP servers:

MCP server for Home Assistant — 202 tools across 21 domains; full control of your smart home from Claude / Cursor / VS Code / any MCP client

An MCP server and CLI for controlling FarmBot hardware, enabling AI agents to manage gardening tasks through tools like gantry movement and device status monitoring. It supports executing Lua scripts and core hardware commands like homing and emergency stops via the Model Context Protocol.

An MCP server and Home Assistant add-on that enables AI assistants to manage smart homes by creating automations, designing dashboards, and interacting with entities. It features native access to Home Assistant APIs, built-in Git versioning for safe rollbacks, and full management of HACS integrations.

A versatile Model Context Protocol server that enables AI assistants to manage calendars, track tasks, handle emails, search the web, and control smart home devices.

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 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 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.

Enables AI-powered household management including inventory tracking, restock predictions, meal planning from available ingredients, and baby supply monitoring through natural language commands.

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.

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 Crestron 4-Series AV systems via MCP tools, connecting Claude to a processor over TCP with TLS authentication.

Enables AI agents to discover and safely interact with simulated Seeed reBot robotic arms, reading device state and planning dry-run movements with enforced safety limits.

Enables AI agents to control Home Assistant smart home devices via MCP, with zero external dependencies. Supports calling services, getting states, and looking up service parameters.

Enables local Mac agents to monitor and control Bambu Lab 3D printers via MCP tools, including status checks, camera snapshots, and print job management.

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.

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 an MCP client control IKEA TRÅDFRI smart plugs paired to a DIRIGERA hub via its local REST API.

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.