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    Provides real-time access to solar inverter data from the SolaX Cloud API, enabling queries of power output, energy yields, battery status, and grid import/export data.
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    MIT
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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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    Connect AI assistants to Victron Energy systems to read real-time solar, battery, grid, and inverter data from your local network via Modbus TCP or MQTT.
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    Provides BBQ cooking guidance with live ThermoWorks Cloud integration for real-time temperature monitoring, stall detection, cook time estimation, and expert recommendations for 20+ proteins across various cooking methods.
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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.
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    MIT
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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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    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.
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    MIT
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    Enables comprehensive control and monitoring of Bambu Lab 3D printers through Claude using local MQTT, FTPS, and X.509 authentication. Users can manage print jobs, monitor real-time status, handle filament through AMS, and adjust hardware settings like temperature and lighting.
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    MIT
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    MCP server for the JouleScope JS220 precision energy analyzer, enabling agents to measure current, voltage, power, charge, and energy via tools like measure_energy.
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    Apache 2.0
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    Enables control and monitoring of Wyze smart home devices through AI assistants. Supports device discovery, control (on/off, brightness, color), group management, and health tracking for scales with real-time status monitoring.
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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.
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    Enables AI assistants to manage UniFi network infrastructure through 50+ tools covering devices, clients, networks, WiFi, firewall rules, and guest access using the official UniFi Network API.
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    Links IoT devices to AI large models using the MCP and MQTT protocols, enabling natural language control, real-time AI responses, and complex instruction execution for interconnected IoT devices.
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    MIT