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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 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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    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.
    10
    19
    Apache 2.0
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    Drive open-source Gearotons M17 servomotors from natural language via an MCP server with safety rails and a mock backend.
    9
    MIT
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    Enables any AI agent to control a Pollen Robotics Microduck through MCP, including walking, sitting, picking objects, reading health, and stopping, with support for mock, simulated, or real hardware transports.
    8
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    Apache 2.0
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    Enables real-time solar data from Fronius inverters via Claude, allowing natural language queries about solar production, battery, and grid exchange.
    5
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    Apache 2.0
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    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.
    5
    MIT
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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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    MCP server for managing large fleets of BLE devices with connection pooling, scheduling, retries, and partial-failure handling. Enables AI agents to run fleet-level reads/writes without worrying about radio connection limits.
    8
    1
    MIT
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    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.
    9
    1
    MIT