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    Exposes Bilibili learning videos to MCP clients, letting them search videos, read descriptions and video metadata, fetch timestamped subtitles, and view top comments for note-taking and Q&A. All summarization is left to the client model, with optional cookie-based login for subtitle access.
    4
    1
    MIT
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    A local MCP server that bridges Logic Pro MIDI data via an AUv3 plugin, enabling reading, creating, and manipulating MIDI regions and tracks through tools like read_logic_track and create_midi_region.
    8
    MIT
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    Provides tools for discovering events at Madison Square Garden via the Ticketmaster API, returning structured data with event details like name, date, price, and ticket purchase links.
    1
    89 npm
    24
    MIT
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    Create custom playlists, control apple music locally, search apple music catalog, use ai to generate play lists, and more all without needing an apple developer account or giving the MCP server special privileges.
    1
    MIT
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    YouTube Skills (TranscriptAPI) is the production API for extracting, searching, and analyzing YouTube content at scale. While other tools break when YouTube changes or cap you at 100 requests/day, TranscriptAPI serves 15 million transcripts monthly at 49ms median response time.
    1,143
    MIT
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    A service that provides HackerNews content search, retrieval and analysis through the Model Context Protocol, suitable for AI agents and developers.
    5
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    Apache 2.0
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    Enables MCP clients to build and edit Spotify playlists from natural language descriptions.
    7
    71 npm
    MIT
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    The Atlas Docs MCP server provides technical documentation of libraries and frameworks for AI assistants, processes the official documentation into Markdown versions suitable for LLMS, and is applicable to McP-compatible LLM clients such as Cursor, Cline, Windsurf, etc.
    5
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    Apache 2.0
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    Exposes Steam Web API tools as MCP resources for Claude Code, Claude Desktop, and Gemini CLI, enabling profile lookups, game searches, achievement tracking, and more.
    11
    23 npm
    1
    MIT
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    Enables AI assistants to interact with the M-Team private torrent tracker API for searching resources, retrieving torrent details, and downloading torrent files. It provides a bridge for Model Context Protocol clients to manage and access private tracker content through natural language.
    3
    11
    MIT
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    A community-maintained MCP server for TIDAL that enables personalized music recommendations, full playlist management, and advanced search across tracks, albums, artists, and playlists via natural language.
    19
    6
    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.
    5
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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.
    9
    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.
    9
    MIT
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    Enables querying the Chzzk live-streaming platform for channels, live broadcasts, search, and VODs using natural language.
    8
    MIT
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    A production-ready MCP server for YouTube integration with intelligent caching. Enables searching videos, retrieving transcripts, analyzing channels, and monitoring live streams via natural language.
    31
    1
    MIT
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    Search concert setlists, artists, venues, tours, and cities from setlist.fm via natural language. Provides 16 read-only tools for exploring live music data.
    20
    333 npm
    1
    MIT
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    FastMCP server to interact with the Overseerr API for movie and TV show requests management, enabling users to request media, search, and manage libraries via natural language.
    8
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    MIT
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    An entertainment recommender MCP server that integrates with TMDB to help agents discover films and television shows based on genre, release year, and language. It also includes utilities for comparing multi-agent LLM responses and analyzing entertainment industry data.
    6
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