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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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    MIT
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    Enables discovery and control of Philips Hue lighting devices via a local bridge using the CLIP v2 API, without any cloud dependency.
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    MIT
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    A local MCP proxy that connects AI clients to nomos system controllers, allowing registration and switching between them via natural language. Enables smart home control through MCP-compatible AI clients.
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    MIT
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    A self-hosted MCP server for Home Assistant that exposes full control over entity states, service calls, history, templates, and areas via local stdio, enabling AI assistants to manage your smart home.
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    MIT
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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.
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    MIT
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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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    An MCP server that layers additional Home Assistant tools on top of voska/hass-mcp, enabling Lovelace dashboard management, automation/scene manipulation, SSH file access, and recorder database queries.
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    MIT
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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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    MIT
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    Enables AI assistants to publish and subscribe to MQTT topics with configurable transport options (STDIO, Streamable HTTP, SSE), supporting both local development and web deployments with flexible broker authentication.
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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