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  • A
    license
    Not graded
    quality
    C
    maintenance
    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.
    Apache 2.0
  • A
    license
    A
    quality
    B
    maintenance
    MCP server that enables AI agents to control Twinkly lights through natural language, supporting operations like on/off, color, brightness, and effects.
    14
    19
    ISC
  • A
    license
    A
    quality
    D
    maintenance
    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.
    9
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    A content-agnostic MCP server that lets any AI agent control intimate hardware through a clean, safe tool interface.
    11
    36
    3
    Apache 2.0
  • F
    license
    A
    quality
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    maintenance
    Enables control of Philips Hue lights through VS Code Copilot or Claude Desktop using natural language commands. Supports turning lights on/off, adjusting brightness, changing colors, and listing available lights on your Hue Bridge.
    2
    -
  • F
    license
    A
    quality
    D
    maintenance
    A server that allows you to control and interact with Sonos devices on your network through the Model Context Protocol, providing functionalities for discovering devices, controlling playback, retrieving device states, and managing queues.
    18
    9
    -
  • A
    license
    B
    quality
    B
    maintenance
    Enables AI assistants to audit and clean up Amazon Alexa accounts: list routines, smart-home devices, scenes, and activity history, with optional deletion of orphan devices.
    6
    27
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    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.
    91
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    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.
    1
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    An MCP server that allows Claude or any MCP client to see and control Reolink cameras on the local network. It provides snapshots, device state, AI detection, PTZ controls, and deterrence features without cloud dependency.
    2
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables LLMs to list, inspect, snapshot, and control Scrypted home-automation/NVR devices such as switches, locks, and cameras through natural language.
    47
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to control vehicles by checking battery status, managing climate, and locking/unlocking doors via Skoda Connect integration.
    3
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    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.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    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.
    3
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    An MCP server that enables AI assistants to control devices via Tuya infrared remote control, supporting actions like toggling power and setting modes through natural language.
    6
    MIT