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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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    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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    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.
    Apache 2.0
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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
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    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
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    Provides access to Alpha ESS solar inverter and battery system data, enabling monitoring of energy statistics, real-time power data, and configuration of battery charging and discharge schedules through the Alpha ESS Open API.
    10
    MIT
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    A Model Context Protocol server for AI agents to discover and control IoT devices through MQTT, using the AIoT Agent Network Protocol for device registration and communication.
    3
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    An MCP server that connects to Z-Wave JS UI's WebSocket to expose controller, node, and configuration information as tools for AI assistants to manage Z-Wave networks.
    24
    MIT
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    Connects AI assistants to Loxone smart home systems for controlling devices, managing scenes, and monitoring real-time states through natural language. Supports lights, blinds, climate control, and automation with secure PIN-protected commands.
    3
    MIT
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    Enables AI agents to query MQTT message history stored in SQLite, including topic inventories, last values, historical data, silent devices, and collector connection gaps. Supports publishing messages when write mode is enabled.
    8
    MIT
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    Enables control and monitoring of Plugwise smart home devices including thermostats, switches, and energy meters with automatic network discovery. Supports temperature control, energy monitoring, and multi-hub management through natural language commands.
    16
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    MIT