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    A Model Context Protocol server that enables AI assistants like Claude to interact directly with Home Assistant, allowing them to query device states, control smart home entities, and perform automation tasks.
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    MIT
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    Integrates HomeMatic smart home devices (via CCU3, RaspberryMatic, or debmatic) as MCP tools, enabling natural language query and control of rooms, devices, programs, and system variables.
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    Enables natural language interaction with industrial IoT devices using Sparkplug B, allowing users to query real-time data, analyze historical metrics, and monitor device status.
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    Enables LLM agents to query live data from Anker Solix solar systems (Solarbank, expansion batteries, Smartmeter) via natural language, such as current solar production or battery state of charge.
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    A comprehensive MCP server that enables AI assistants to interact with Home Assistant, control smart home devices, query states, execute services, and manage automations via natural language.
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    Query and control Orbit B-Hyve irrigation systems from MCP-compatible clients like Claude Code and Cursor.
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    An unofficial MCP (Model Context Protocol) server that exposes a Vaillant heat pump's data to AI assistants like Claude. Query outdoor and room temperatures, hot water status, energy consumption, COP estimates, schedules, and diagnostics through natural conversation.
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    MIT
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    Connect your AI workflows to the ThingsBoard IoT Platform through this MCP server. Enables LLMs to query device telemetry, manage IoT entities (devices, assets, customers), and analyze sensor data - all through natural language. Perfect for building AI-powered IoT monitoring, predictive maintenance,
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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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    A professional MCP server for serial port communication, enabling AI assistants to list, connect, send/receive data, and manage serial connections with embedded systems, IoT devices, and hardware debugging hardware.
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    Enables users to manage and control their Plex media library through natural language commands in MCP-compatible AI clients. It supports searching content, managing playlists, tracking library statistics, and monitoring live viewing sessions.
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    MIT
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    Integrates with Tesla Fleet API and TeslaMate API to control vehicles, monitor energy (Powerwall/Solar), manage charging, and analyze driving data, with generative UI and skill workflows.
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    3
    MIT