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"Reading and Writing Word Files" matching MCP servers:

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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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    An MCP server that enables AI assistants to log into Soulseek, search the network, and download files through simple tool calls.
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    MCP server for reading YouTube subtitles without authentication or external binaries, using YouTube's internal get_panel endpoint to avoid rate limits and fetch full subtitles in a single request.
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    Fetch Songsterr tabs and transpose them between tunings and string counts, outputting ASCII or Guitar Pro files.
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    GPL 3.0
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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.
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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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    GPL 3.0
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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 full control and observation of VNyan VTuber avatar software from any MCP client, including reading and writing parameters, triggers, blendshapes, bones, node graphs, and settings.
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    MIT
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    The official MCP server for LabelGrid's music distribution platform, enabling natural language management of music catalogs, releases, files, analytics, royalties, webhooks, and distribution via a thin wrapper over the LabelGrid public API.
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    The MCP server offers the function of extracting images from local files and urls and converting them to base64 format, which is suitable for LLM analysis.
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    Apache 2.0
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    Connects AI assistants to the Hardcover book library, enabling natural language book searches, reading status updates, list management, and library exploration.
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    MCP server exposing Lidarr's full v1 REST API as tools for reading and managing artists, albums, tracks, queue, history, and more. It enables LLMs to interact with a Lidarr instance via natural language.
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    MIT
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    A MCP server that supports AI assistants to read and analyze PDF files, providing functions such as PDF metadata extraction, page range reading, and keyword search
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    Apache 2.0