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    Enables programmatic control of Divoom Pixoo LED matrices to display layered pixel art, animations, and hardware-rendered scrolling text. Users can compose complex visual scenes, push images, and manage device settings like brightness and channels through an LLM.
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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.
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    Apache 2.0
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    Enables read-only access to vehicle data via the unofficial Rivian GraphQL API, allowing users to monitor battery levels, OTA updates, and charging status. It provides tools to check vehicle state and user account information directly through Claude.
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    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.
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    MIT
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    An MCP server that provides read-only snapshots and change detection for Xiaomi smart home devices, enabling AI clients to get structured home status with a single call.
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    GPL 3.0
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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.
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    MIT
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    MCP server that connects to Felicity Solar cloud battery data, allowing natural language queries about battery status, cell voltages, and charge state.
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    MIT
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    MCP server for controlling and querying Home Assistant via its REST API, exposing tools to get entity states, list all states, and call services.
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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.
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    Apache 2.0
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    This MCP server enables AI agents to read MQTT and Sparkplug B data via tools like list_topics, get_latest, and read_all, providing read-only access to latest sensor values.
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    MIT
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    Enables AI assistants to interact with Home Assistant smart home devices through natural language. Control devices, manage automations, query entity states, and retrieve historical data across your home automation system.
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    MIT
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    Enables AI assistants to control vehicles by checking battery status, managing climate, and locking/unlocking doors via Skoda Connect integration.
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    Apache 2.0