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    Giving AI assistants the ability to search movies and TV shows, find torrents with magnet links, check streaming availability, and explore cast/crew metadata.
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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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    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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    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.
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    Apache 2.0
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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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    MIT
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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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    Enables an AI assistant to query the full YouTube Analytics, Data v3, and Reporting API surface for one or multiple channels you own, with unrestricted parameters, local OAuth handling, and large-result output to files.
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    MIT
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    Provide access to Iconify's MCP server with over 200,000 open-source vector ICONS, supporting icon set browsing, searching, and obtaining multi-framework usage examples.
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    Apache 2.0
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    A model context protocol server that provides Berlin administrative service data, allowing AI assistants to search and retrieve over 1000 public service information provided by Berlin authorities.
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    Apache 2.0
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    Mercury Spec Ops MCP Server is a dynamic prompt generation and template assembly tool based on a modular architecture. It is suitable for the interaction between AI assistants and professional content, and supports the dynamic generation of 31 technology stacks, 10 analysis dimensions and 34 templat
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    Apache 2.0
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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