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"Managing and Working with Files" matching MCP servers:

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    Connects AI assistants to Loxone smart home systems for controlling devices, managing scenes, and monitoring real-time states through natural language. Supports lights, blinds, climate control, and automation with secure PIN-protected commands.
    3
    MIT
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    A server that allows you to control and interact with Sonos devices on your network through the Model Context Protocol, providing functionalities for discovering devices, controlling playback, retrieving device states, and managing queues.
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    Reads .knxproj files, analyzes group addresses/DPTs/topology, generates Home Assistant KNX YAML and ETS-importable group-address files (XML/CSV), and produces human-readable reports without touching the live KNX bus.
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    MIT
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    MCP server for full Home Assistant control, enabling AI agents to manage dashboards, automations, files, apps, entities, and more via REST API, WebSocket, and SSH.
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    MIT
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    An MCP server for controlling Bambu Lab 3D printers that enables users to manipulate STL files, slice 3MF files, and manage end-to-end print workflows directly from Claude. It provides real-time status monitoring, file management via FTPS, and printer control through MQTT for a focused, lean Bambu-only implementation.
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    GPL 2.0
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    A Bambu Lab-focused MCP server for controlling Bambu printers, manipulating STL files, and managing end-to-end 3MF print workflows from any MCP-compatible client.
    37
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    GPL 2.0
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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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    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.
    94
    Apache 2.0
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    This MCP server enables AI agents to read MQTT and Sparkplug B data via tools like list_topics, get_latest, and read_all, providing read-only access to latest sensor values.
    1
    MIT
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    Enables AI assistants to interact with Home Assistant smart home devices through natural language. Control devices, manage automations, query entity states, and retrieve historical data across your home automation system.
    1
    MIT
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    Enables AI assistants to control vehicles by checking battery status, managing climate, and locking/unlocking doors via Skoda Connect integration.
    2
    Apache 2.0
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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.
    MIT