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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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    A content-agnostic MCP server that lets any AI agent control intimate hardware through a clean, safe tool interface.
    11
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    Apache 2.0
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    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.
    6
    MIT
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    MCP server for Hubitat Elevation hubs that controls devices via the Maker API, with optional gated access to undocumented admin routes, supporting device listing, command sending, virtual device and hub variable automation for Rule Machine, and hub management features.
    8
    MIT
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    Exposes digital twin device data capabilities as MCP tools, allowing MCP clients to query device status, read real-time metrics, fetch time-series data, and check alerts. Includes a simulated PLC driver with a clean interface for connecting real devices via OPC-UA, Modbus, or gateway APIs.
    6
    MIT
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    Enables AI agents to discover, monitor, and control industrial hardware like ESP32 machine controllers and inspection cameras through a standardized MCP interface.
    5
    MIT
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    Enables AI agents to manage Keenetic routers through the same RCI API used by the router's web interface, working directly over the local network without cloud involvement. It supports reading device statuses and executing configuration changes, with confirm, dry-run, and destructive-action safeguards.
    23
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    An MCP server that bridges the physical world and AI models by enabling natural language control of IoT hardware via the MQTT protocol. It supports real-time device monitoring, command publishing, and response handling for seamless integration between AI clients and physical devices.
    3
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    Exposes a Home Assistant instance as an MCP tool set, running as a stateful agent on Cloudflare Workers, enabling clients to read entity states, call services, run scripts and automations, and send commands to phones.
    91
    Apache 2.0