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    A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.
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    MIT
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    Enables an LLM to compare cinema showtimes across Italian cinema chains (UCI Cinemas and The Space Cinema), aggregating results into a compact text view.
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    Enables MCP clients to manage Apple Music playlists end-to-end, including search, playlist creation and editing, metadata and flow auditing, track ordering optimization, and listening statistics, without an Apple Developer account.
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    258 PyPI
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    Enables creating and managing Spotify playlists using natural language with advanced similarity matching across 8 different algorithms. Supports finding similar tracks based on audio features, mood, energy, genre, and custom weighted parameters to build personalized playlists automatically.
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    An MCP server for the Servarr stack — Sonarr, Radarr, Lidarr, Readarr, and Prowlarr — packaged as a Docker container. Lets an MCP client (Claude Desktop, etc.) browse and search whichever \*arr apps you're running.
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    Every movie showtime in San Francisco — repertory houses, single-screen neighborhood theaters, 35mm/70mm prints, and the chains — verified against each theater's own box office, with a published accuracy record. Nine read-only tools; hosted endpoint at https://scenef.com/mcp (no key), with a bundled mcp-remote bridge for stdio clients.
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    Enables AI agents to work with a user's Google Photos through Google's picker, letting users choose exactly what the agent sees while providing tools for uploading media, creating and sharing albums, writing captions and enrichments, searching app-created media, and managing multiple Google accounts.
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    Enables AI models to read and edit your own BandLab songs via natural-language prompts, performing concrete mix operations like adjusting track levels, pan, effects, and arrangement while creating new non-destructive revisions.
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    MCP server enabling AI agents to search, download, and manage JMComic manga via natural language, with dynamic configuration and skill injection.
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    104 PyPI
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    Enables AI assistants to interact with the Vibe CTV/streaming advertising platform, allowing listing of advertisers, apps, campaigns, and creating reports via the Vibe API.
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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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    A smart AniList integration for the Model Context Protocol that provides AI assistants with tools for searching media, managing watchlists, and analyzing user anime or manga tastes. It goes beyond basic API calls by offering personalized recommendations, taste comparisons, and natural language profile summaries.
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    Enables creating and managing events on RealEvents, including listing public events, registering attendees, and updating event details, all from MCP-compatible AI assistants.
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