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    A small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.
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    MIT
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    Enables MCP clients to build and edit Spotify playlists from natural language descriptions.
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    60 npm
    MIT
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    MCP server that provides Danish TV guide data, enabling AI assistants to answer queries about TV schedules, channel listings, and programme searches.
    4
    MIT
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    Connects Claude Desktop to Notion and YouTube transcripts with one-click installation, enabling natural language queries about your pages and video content.
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    MIT
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    An MCP server for organizing YouTube playlists via the YouTube Data API v3, enabling playlist and playlist item creation, listing, updating, and deletion through natural language.
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    MIT
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    MCP server for managing media downloads with Radarr and Sonarr, providing granular tools for searching, adding, and grabbing movies and TV shows through natural language.
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    MIT
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    Enables querying the Chzzk live-streaming platform for channels, live broadcasts, search, and VODs using natural language.
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    MIT
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    Analyzes YouTube videos using Google's Gemini API, allowing users to get summaries or ask questions about video content via direct URL input.
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    MIT
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    Enables managing a SABnzbd Usenet downloader through natural language, including queue control, history browsing, adding downloads, and speed adjustment.
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    Provides access to the SonoVault music metadata API, enabling search and retrieval of information about 90M+ tracks, artists, labels, and releases, including ISRC, ISWC, and cross-platform IDs.
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    224 npm
    MIT
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    Lets AI assistants answer questions about your Spotify listening history, including taste evolution, top artists, recently played, and playlist analysis.
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    60 npm
    MIT
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    An MCP server that retrieves and ranks humorous roasts, jokes, and memes about real or fictional characters from Twitter/X. It leverages LLMs for intelligent query generation and uses social engagement metrics to identify and rank high-quality content.
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    Enables querying TV programming data from Tunarr XMLTV feeds, including viewing channel listings, current and upcoming schedules, and searching for programmes by title or description.
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    Provides MCP access to the BangumiTV API, allowing users to retrieve and interact with anime, manga, music, and game information through natural language queries.
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