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"Sequential Thinking MCP (Model Context Protocol) Server" matching MCP servers:

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    A Model Context Protocol server for controlling LIFX smart lights, enabling AI assistants to manage power, color, brightness, effects, and scenes.
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    MIT
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    A Model Context Protocol server for AI agents to discover and control IoT devices through MQTT, using the AIoT Agent Network Protocol for device registration and communication.
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    A Model Context Protocol (MCP) server that connects LLMs to vehicle data via the Eclipse Kuksa Databroker, enabling AI assistants to read and write vehicle signals using the standardized COVESA Vehicle Signal Specification.
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    Apache 2.0
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    A Model Context Protocol server that enables AI assistants like Claude to interact with Indigo home automation systems through natural language queries for searching and controlling devices, variables, and actions.
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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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    11
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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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    10
    MIT
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    An MCP server that connects to Z-Wave JS UI's WebSocket to expose controller, node, and configuration information as tools for AI assistants to manage Z-Wave networks.
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    24
    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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    3
    MIT
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    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.
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    Enables AI assistants to control Bond Bridge smart home devices including ceiling fans, motorized shades, dimmable lights, and other RF-controlled devices. Provides comprehensive device management and control capabilities through the Bond Local API.
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    10
    MIT
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    Enables monitoring and control of EcoFlow Power Stations and devices through the Model Context Protocol. Users can manage battery levels, toggle AC/DC outputs, and configure charging settings across the DELTA and RIVER series via the EcoFlow API.
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    9
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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.
    Last updated
    15
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    MIT