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    A collection of personal Model Context Protocol servers for tools like calendar, contacts, flights, home maintenance, iMessage, lawn care, mail, NextDNS, Obsidian search, Google Sheets, UniFi, weather, and YNAB, packaged as a uv workspace with Claude Code and Codex plugin support.
    2
    MIT
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    Enables AI to search for video streaming URLs and play them directly on Xiaomi TV or other Android TVs. Supports custom configurations for multiple devices.
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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 interaction with an OpenRemote instance through its service API, allowing management of assets, users, and other resources via natural language.
    AGPL 3.0
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    Enables LLMs to read, write, browse, search, and subscribe to live data on OPC-UA industrial automation servers, with caching, discovery index, and support for stdio or HTTP transports.
    4
    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.
    Apache 2.0
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    A lightweight Bluetooth Low Energy debug MCP server for AI agents. It provides 21 tools for BLE scanning, connection, GATT read/write, descriptor access, MTU query, notification subscription, device recon, and engine diagnostics.
    1
    Apache 2.0
  • F
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    Provides AI assistants with access to UniFi Network and Protect infrastructure for managing devices, monitoring clients, analyzing network health, viewing camera snapshots, and getting optimization recommendations across multiple UniFi controllers.
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    MCP server for the CultivarIA platform, enabling AI assistants to query real-time and historical telemetry from cultivation modules, analyze plant health, and control actuators like irrigation and climate systems via standardized tools and resources.
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    Enables AI-powered analysis and prediction of household energy consumption through machine learning models, providing historical consumption breakdowns, price queries from Spanish electricity markets, and personalized energy optimization recommendations.