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  • A
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    A thin MCP server that securely enables AI agents to interact with Home Assistant, Mealie, and Nirvana via tools for automation, recipe management, and task tracking, while keeping credentials hidden.
    MIT
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    Enables control of Philips Hue lights through the Model Context Protocol, providing tools for turning lights on/off, setting brightness and color, and retrieving light status.
    1
    Apache 2.0
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    Enables interaction with an OpenRemote instance through its service API, allowing management of assets, users, and other resources via natural language.
    AGPL 3.0
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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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    Enables natural language control of Homey Pro smart home systems, including devices, flows, zones, energy monitoring, weather, alarms, and system management, with 43 tools and troubleshooting prompts.
    43
    MIT
  • F
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    Enables control and management of smart home devices across multiple rooms through specialized MCP servers. Supports lights, thermostats, fans, and ovens with room-specific rules and automatic persistence.
    5
  • A
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    Comprehensive development tools for Home Assistant, enabling file management, template testing, entity/state management, service calls, log access, and system information retrieval through MCP.
    MIT
  • F
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    An MCP server based on the Mastra framework for controlling Xiaomi Mi Home smart devices. It enables device discovery, property management, action execution, and scene control through the Mi Home cloud service.
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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
  • A
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    Drive open-source Gearotons M17 servomotors from natural language via an MCP server with safety rails and a mock backend.
    9
    MIT