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    ✨ 为你的 AI 助手装上 B 站的眼睛:一键提取视频字幕与热门评论,助力高效信息总结 🚀 ✨ Equip your AI assistant with "Bilibili Eyes": One-click extraction of video subtitles and popular comments for efficient information summarization 🚀
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    795 npm
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    Apache 2.0
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    Enables agents to search, explore trending content, retrieve video metadata and hot comments, and obtain subtitle transcripts for summarisation on Bilibili, with an anonymous tier and an optional account tier for personalized feeds.
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    MIT
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    Enables reading public Bilibili video information — keyword search, UP profiles and uploads, video details and parts, comments and replies, danmaku, subtitles, and frame snapshots — through an MCP interface, with optional Bilibili login for authenticated features such as comments and subtitles.
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    Apache 2.0
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    An MCP server for interacting with Bilibili, enabling AI assistants to search videos, fetch comments and subtitles, publish content, and manage interactions. It also adds private message reading, stable TV login, and an automated comment workflow requiring human confirmation.
    MIT
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    Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.
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    MIT
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    A Bilibili subtitle fetching MCP server that supports various input formats (BV number, video URL, short link) and offers configurable language preferences, output formats, and ASR fallback.
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    GPL 3.0
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    A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.
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    MIT
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    Enables AI agents to analyze a piece of content across 11 dimensions and receive ranked, scored recommendations among six cross-media output formats (PPT, infographic, comic, short video script, newsletter, reusable skill), then generate dispatch prompts for the chosen format. It also exposes the format catalog and profile schema as read-only tools, supporting batch routing of an entire content library.
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    MIT
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    Enables AI clients to manage a self-hosted content hub: create, edit, publish, and update articles across multiple platforms, plus AI writing and account management.
    MIT
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    Enables interaction with Bilibili (哔哩哔哩) through its API, supporting video search and recommendations, user search, dynamic feeds, video collections, and danmaku retrieval through natural language.
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    Enables interaction with Prismic through tools for reading documents, managing media assets, and performing content migrations or updates. Supports the Prismic Content, Asset, Migration, and Custom Types APIs with secure write operations and multi-transport support.
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