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"How to connect to a REST API" matching MCP servers:

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    Enables AI assistants to control Sonos audio devices over a local network using UPnP/SOAP protocols, supporting playback, volume, queue management, zone grouping, and music library browsing.
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    MIT
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    Vision-capable MCP server for controlling Amazon Fire TV through Home Assistant, providing screenshot-guided observation, remote commands, and app/URI actions via authenticated REST calls.
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    MIT
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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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    MIT
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    Turns AI assistants like Claude and ChatGPT into a remote control for LG webOS smart TVs, enabling power control, volume, app launching, input switching, and more, all locally without cloud APIs.
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    MIT
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    Enables AI assistants to control vehicles by checking battery status, managing climate, and locking/unlocking doors via Skoda Connect integration.
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    Apache 2.0
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    An MCP server that exposes Home Assistant's REST and WebSocket APIs as 182 tools, enabling clients like Claude Code to control lights, climate, media, automations, and more. It also provides a status dashboard and supports running as a Home Assistant app or container.
    AGPL 3.0
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    An MCP server that lets AI agents control Android TVs via ADB, including searching and playing content across streaming services, managing power and volume, and sending remote control commands.
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    MIT
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    Minimal in-memory Node.js server for the Gatepass gate-control prototype, exposing a REST API and an MCP tool (open_gate) to manage shared gate state.
    MIT
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    Enables control of Pi-hole v6 ad blocking, allowing users to toggle DNS blocking status and retrieve real-time statistics like query counts and blocked domains. It provides a structured interface for monitoring and managing network-level ad filtering through the Pi-hole REST API.
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    MCP server for Hunter Hydrawise irrigation controllers, exposing the Hydrawise REST API as tools for AI agents to manage watering schedules and controller settings.
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    Provides read-only access to Shelly Cloud energy data, including live power, lifetime energy, and historical consumption with cost, enabling AI agents to monitor electricity usage without device control.