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"Methods to Extract Text Content from Videos" matching MCP servers:

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    Enables AI assistants to send text notifications with titles, messages, signatures, icons, and links to Dot e-ink display devices. Supports immediate or scheduled display for proactive AI-to-user notifications.
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    MIT
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    MCP server for controlling Google TV devices via natural language. Enables key presses, text input, and app launching on paired devices.
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    MIT
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    Connect AI assistants to Victron Energy systems to read real-time solar, battery, grid, and inverter data from your local network via Modbus TCP or MQTT.
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    Provides BBQ cooking guidance with live ThermoWorks Cloud integration for real-time temperature monitoring, stall detection, cook time estimation, and expert recommendations for 20+ proteins across various cooking methods.
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    Enables LLM agents to query live data from Anker Solix solar systems (Solarbank, expansion batteries, Smartmeter) via natural language, such as current solar production or battery state of charge.
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    MIT
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    Query and control Orbit B-Hyve irrigation systems from MCP-compatible clients like Claude Code and Cursor.
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    A content-agnostic MCP server that lets any AI agent control intimate hardware through a clean, safe tool interface.
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    Apache 2.0
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    An MCP server that lets LLMs control Amazon Alexa devices, including announcements, text commands, smart-home group management, routines, and list operations.
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    An MCP server that provides LLM-controlled kiosk display tools for family management, supporting animated scenes with text, images, and videos. It enables real-time updates via WebSocket and offers high-level tools for calendars, chores, meal plans, and announcements through both stdio and HTTP transports.
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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.
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    GPL 2.0
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    Enables LLM applications to query and visualize data from Bosch/Buderus heat pumps via ems-ESP, including temperatures, statistics, and heat curves through natural language.
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    MIT
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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.
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    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.
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    MIT