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    Enables searching, retrieving metadata, and downloading YouTube videos or audio without requiring an API key. It utilizes yt-dlp to support media retrieval and playlist management within MCP-compliant clients like Claude and Cursor.
    8
    23 PyPI
    1
    MIT
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    Enables AI clients to query and download Bilibili video data, including metadata, streams, danmaku, subtitles, comments, search, hot lists, users, live rooms, and account read-only items through MCP tools.
    15
    MIT
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    A unified MiniMax multimodal MCP server that enables users to access text, search, image understanding, image generation, speech synthesis, video generation, music generation, and quota query capabilities through AI CLI tools.
    31
    MIT
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    Enables agents to create, inspect and edit Kdenlive project files, import and relink media, query installed MLT effects/transitions, author subtitles, and run asynchronous MLT renders, plus drive the live Kdenlive editor UI. Edits always write new files, and rendering is job-based with verification of the output.
    2
    MIT
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    Enables AI assistants to search an Xtream Codes IPTV provider's TV guide, past and upcoming, and download catchup programmes in the background, naming them for Jellyfin or Plex libraries. Also handles subscription status, download tracking and finish notifications.
    MIT
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    Exposes every documented Plex Media Server API operation as a callable tool, plus curated tools for library browsing, media search and editing, playlists, collections, live sessions, user analytics, recommendations, watchlists, playback control and subtitles. Enables clients to query, automate and control a Plex server, discover owned servers and control playback clients through natural language.
    171 npm
    MIT
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    A self-hosted MCP server that connects AI clients to local media-generation backends like ComfyUI and Blender, and provides built-in utilities for video/audio analysis, editing, subtitles, speech, and scene detection via a persistent file cache.
    1
    Apache 2.0
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    Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.
    MIT
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    Enables AI assistants to control and query Blender scenes through local MCP, allowing operations like retrieving scene information with objects and materials.
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    Enables agents to efficiently explore and query GStreamer debug logs by loading files, applying filters (path, category, time range, level, object name), and retrieving counts before fetching lines to keep context small.
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