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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.
    Apache 2.0
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    Provides access to Tesla vehicle telemetry data via the Tessie API, enabling real-time monitoring of battery status, charging state, climate controls, location, and other vehicle metrics through 30+ tools with intelligent caching.
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    Read-only MCP server for Home Assistant that computes statistical summaries, trends, and session detection from recorded sensor history, returning compact tables instead of raw data so small local models can answer questions about energy usage, climate, and appliance activity without token-heavy arithmetic.
    10
    Apache 2.0
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    Enables AI agents to build freeform dashboards for e-ink panels by listing widgets and devices, laying out a canvas, rendering a preview, and pushing to the panel.
    18
    AGPL 3.0
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    Enables control of SwitchBot devices by name, reducing the risk of AI misidentifying device IDs.
    5
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    MIT
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    Exposes Justworx devices to AI agents as MCP tools and resources, backed by the public Developer API. Supports local stdio and hosted remote OAuth operation for controlling device IO, rules, and viewing live state.
    6
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    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
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    MIT
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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
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    Enables AI agents to query MQTT message history stored in SQLite, including topic inventories, last values, historical data, silent devices, and collector connection gaps. Supports publishing messages when write mode is enabled.
    8
    MIT
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    A Model Context Protocol (MCP) integration that allows AI assistants to control Home Assistant devices by searching for entities and controlling devices through natural language commands.
    3
    24
    MIT
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    A server that enables interaction with Home Assistant devices and automations through the Model Context Protocol, allowing users to monitor device states, control devices, trigger automations, and list entities.
    4
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    MIT
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    Exposes a deterministic IoT edge runtime — Modbus/CAN/J1939 acquisition, local rules, alarms, and history — to AI assistants as typed, governed MCP tools. Reads are safe by default; device control stays deny-by-default, explicitly confirmed, and audited.
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    Apache 2.0
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    An MCP server that bridges the physical world and AI models by enabling natural language control of IoT hardware via the MQTT protocol. It supports real-time device monitoring, command publishing, and response handling for seamless integration between AI clients and physical devices.
    3