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    MCP server for Benny the dog's health and care monitoring, allowing users to log care events like water refills, barks, movement, sausage deliveries, movie time, and wake calls, with automatic loneliness detection and Boomy robot integration.
    MIT
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    Enables archiving and retrieving GaggiMate espresso shot history, managing bean/grind/dose context periods, monitoring machine state and power sessions, and writing profiles and settings through MCP tools.
    1
    AGPL 3.0
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    B
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    Enables AI assistants to monitor and control Bambu Lab 3D printers over a local network via MQTT, including real-time status, AMS filament info, print control, and maintenance tracking. It supports guided setup, safety confirmations, read-only mode, and a built-in printer simulator.
    9 npm
    MIT
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    B
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    Enables LLM assistants to control SprutHub smart homes through a local WebSocket connection by listing rooms/devices, reading hub and accessory states, and toggling switches or setting characteristics.
    18
    3
    MIT
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    Enables users to pull live heating-oil tank readings from their Smart Oil Gauge account without Home Assistant, reporting gallons remaining, percent full, usage rates, and days-until-low estimates plus usage history across daily, weekly, monthly, and yearly windows. It logs in with existing app credentials and fetches fresh data on each tool call, storing nothing on disk.
    MIT
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    C
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    Enables AI assistants to read and control a homee smart home in natural language: listing devices and their values, switching, dimming or moving them, and viewing or editing homeegrams. Also covers backups, device swaps across all automations, device history, and the homee diary, with all writes subject to the same backups, read-only mode and audit log as the web UI.
    MIT
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    Enables a local Grok Bot to talk to the unofficial MySubaru API over stdio, supporting vehicle status, locate, tire pressure, fuel, odometer, climate presets, and explicit lock/unlock/remote start actions without exposing secrets.
    1
    MIT
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    Enables AI agents to interact with Homey home automation systems for managing flows, devices, and zones. Perfect for bulk automation tasks like batch renaming flows, organizing them into folders, and managing devices across zones through natural language.
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    Enables a persistent home world model with device graph, acoustic incident detection, and proactive maintenance proposals via MCP tools and server-sent events.
    MIT