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    Comprehensive development tools for Home Assistant, enabling file management, template testing, entity/state management, service calls, log access, and system information retrieval through MCP.
    MIT
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    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.
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    A server that allows you to control and interact with Sonos devices on your network through the Model Context Protocol, providing functionalities for discovering devices, controlling playback, retrieving device states, and managing queues.
    18
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    Enables AI assistants and agents to query and control a Loxone Miniserver installation via MCP, using existing room and control names without cloud services. Also provides selected LoxBerry information, secured by Loxone login.
    1
    Apache 2.0
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    A Model Context Protocol server for controlling LIFX smart lights, enabling AI assistants to manage power, color, brightness, effects, and scenes.
    MIT
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    An MCP server that enables AI assistants to manage LoRaWAN devices on Actility ThingPark, allowing device listing, details, and downlink command sending via natural language.
    MIT
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    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.
    1
    MIT
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    Enables control of local Xiaomi smart home devices via MCP, allowing reading real-time status and setting properties through natural language, without relying on the Xiaomi cloud.
    MIT
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    Minimal in-memory Node.js server for the Gatepass gate-control prototype, exposing a REST API and an MCP tool (open_gate) to manage shared gate state.
    MIT
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    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.
    11
    1
    MIT
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    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.
    9
    Apache 2.0