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"A guide to multimedia processing techniques and tools" matching MCP servers:

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    Comprehensive development tools for Home Assistant, enabling file management, template testing, entity/state management, service calls, log access, and system information retrieval through MCP.
    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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    Exposes a deterministic IoT edge runtime — Modbus/CAN/J1939 acquisition, local rules, alarms, and history — to AI assistants as typed, governed MCP tools. Reads are safe by default; device control stays deny-by-default, explicitly confirmed, and audited.
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    Apache 2.0
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    Enables AI assistants to manage UniFi network infrastructure through 50+ tools covering devices, clients, networks, WiFi, firewall rules, and guest access using the official UniFi Network API.
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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.
    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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    Exposes a curated allowlist of Home Assistant entities to external clients over MCP with read-only list and get_state tools, using an isolated guest credential that cannot access other Home Assistant APIs.
    Apache 2.0
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    Enables AI assistants to control vehicles by checking battery status, managing climate, and locking/unlocking doors via Skoda Connect integration.
    3
    Apache 2.0
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    Enables AI assistants to control Anki Vector robots locally via natural language, providing tools for speech, motion, perception, and interaction without cloud dependency.
    19
    MIT
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    Integrates with Tesla Fleet API and TeslaMate API to control vehicles, monitor energy (Powerwall/Solar), manage charging, and analyze driving data, with generative UI and skill workflows.
    3
    MIT
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    Enables LLM agents to securely monitor and control MQTT devices for building automation, industrial control, and smart home systems through a standardized MCP interface.
    19
    MIT
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    Enables managing UniFi networks through natural language, allowing users to monitor clients, check network health, and perform device actions like blocking or restarting access points. It securely connects UniFi Controllers to MCP clients with features like Google OAuth authentication.
    37
    Apache 2.0
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    Enables AI assistants to interact with SkyFoundry SkySpark building automation data via the Model Context Protocol. It allows users to evaluate Axon expressions, perform CRUD operations on records, and manage project functions through a comprehensive suite of 21 tools.
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    Enables AI assistants and agents to query and control a Loxone Miniserver installation via MCP, using existing room and control names without cloud services. Also provides selected LoxBerry information, secured by Loxone login.
    1
    Apache 2.0