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    A Model Context Protocol (MCP) server that provides YouTube Data API v3 integration for content discovery and analytics. It enables AI assistants to search for videos, channels, playlists, and retrieve detailed metrics.
    MIT
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    Enables AI assistants to search YouTube for videos, channels, and playlists while retrieving detailed analytics and metrics through the YouTube Data API v3. Supports advanced filtering options and provides comprehensive statistics for content discovery and analysis.
    1
    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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    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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    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.
    5
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    MIT
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    A lightweight MCP server that allows querying and searching for Douyu live streaming room information by room ID or keywords, returning results in Markdown format.
    2
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    MIT
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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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    MIT
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    Enables AI language models to interact with YouTube content through the YouTube Data API, including retrieving video details, transcripts, channel information, playlists, and searching videos with enhanced responses that include direct URLs.
    14
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    Provides access to The Movie Database (TMDB) API, enabling users to search for movies, TV shows, and people, get detailed information, discover content with advanced filters, and retrieve recommendations.
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    MIT
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    A lightweight service that provides cross conversation temporary information storage and retrieval for AI agents, supporting step-by-step processing of complex tasks.
    4
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    Apache 2.0
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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.
    3