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    Enables control of lights in CASAMBI networks through Bluetooth interface without requiring APIs. Provides direct lighting control and management capabilities through natural language interactions.
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    GPL 3.0
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    Enables controlling a Unitree GO2 robot's motion (forward, backward, left, right, stop, stand up, and move with custom velocities) via MCP tools, using ROS2 commands.
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    Keploy is an open-source AI-powered testing platform that helps developers achieve up to 90% test coverage in minutes without writing manual tests. It captures real API traffic and automatically converts it into test cases with mocks and stubs, ensuring faster, reliable integration and regression te
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    ac-infinity-mcp is an MCP server that connects Claude (and other AI assistants) directly to your AC Infinity controllers — so you can read live sensor data, run analytics, and adjust fan speeds or port states using natural language, without opening the AC Infinity app.
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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 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.
    9
    Apache 2.0
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    Exposes digital twin device data capabilities as MCP tools, allowing MCP clients to query device status, read real-time metrics, fetch time-series data, and check alerts. Includes a simulated PLC driver with a clean interface for connecting real devices via OPC-UA, Modbus, or gateway APIs.
    6
    MIT
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    Enables AI assistants to manage UniFi network infrastructure through 50+ tools covering devices, clients, networks, WiFi, firewall rules, and guest access using the official UniFi Network API.
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    Links IoT devices to AI large models using the MCP and MQTT protocols, enabling natural language control, real-time AI responses, and complex instruction execution for interconnected IoT devices.
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    MIT
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    Enables AI assistants to control Anki Vector robots locally via natural language, providing tools for speech, motion, perception, and interaction without cloud dependency.
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    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.
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    Enables AI assistants to manage and monitor Eclipse Kura IoT gateways through their REST APIs, supporting device configuration, deployment, and cloud connectivity.
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    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