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    Enables natural language control of Loxone smart home systems, including lighting, audio, climate, and environmental monitoring, through MCP-compatible clients.
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    AGPL 3.0
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    Exposes real-time soil sensor metrics as MCP Resources and irrigation valve controls as MCP Tools, enabling AI-driven agronomic decisions with built-in safety guardrails.
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    Apache 2.0
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    Enables natural language control of WeMo smart home devices for power, brightness, and device management through AI assistants. It features a high-reliability multi-phase discovery process to scan, monitor, and configure devices across a local network.
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    MIT
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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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    MIT
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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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    Connects AI assistants to Loxone smart home systems for controlling devices, managing scenes, and monitoring real-time states through natural language. Supports lights, blinds, climate control, and automation with secure PIN-protected commands.
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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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    Enables AI assistants to interact with Frigate NVR security camera systems, supporting camera management, event detection, snapshots, recordings, and system stats via natural language.
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    Provides AI agents with read access to Trane Tracer SC+ building automation systems for inventory and telemetry retrieval.
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    MIT
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    Enables control and monitoring of Plugwise smart home devices including thermostats, switches, and energy meters with automatic network discovery. Supports temperature control, energy monitoring, and multi-hub management through natural language commands.
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    MIT
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    Enables AI assistants to interact with Rhombus physical security systems, providing access to smart cameras, access control, IoT sensors, and alarm monitoring through the Rhombus API.
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    MIT
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    Enables access to Fronius solar inverter data via the MCP protocol, allowing real-time monitoring of energy production, consumption, and battery storage through natural language.
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    MCP server for the Level v2 REST API, enabling management of alerts, automations, devices, groups, tags, updates, and custom fields through typed tools.
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    MIT