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    An MCP server that exposes a USB-connected Flipper Zero device as tools for controlling infrared devices. It enables listing, parsing, and transmitting IR signals from saved files and built-in universal remotes.
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    Enables users to manage and control their Plex media library through natural language commands in MCP-compatible AI clients. It supports searching content, managing playlists, tracking library statistics, and monitoring live viewing sessions.
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    MIT
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    Bridges Web of Things (WoT) devices to AI assistants via MCP, enabling discovery, monitoring, and control of IoT devices through natural language.
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    GPL 3.0
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    An MCP server and Home Assistant add-on that enables AI assistants to manage smart homes by creating automations, designing dashboards, and interacting with entities. It features native access to Home Assistant APIs, built-in Git versioning for safe rollbacks, and full management of HACS integrations.
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    MIT
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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.
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    Apache 2.0
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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 AI models to control and query smart home devices (air conditioners, lights, locks, cameras, refrigerators) through a backend API. Supports device control operations, status queries, and detailed device information retrieval with built-in documentation for proper device usage.
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    An MCP server that connects Claude and other MCP clients to buttplug.io, allowing AI models to directly control and orchestrate intimate hardware in real-time. It provides a suite of tools for device discovery and haptic commands like vibration, rotation, and patterned pulses.
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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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    Enables AI assistants to query and explore Homebox home inventory data in real-time, with tools for searching items, listing locations and labels, and retrieving item details.
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    5