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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
    1
    Apache 2.0
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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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    A text-adventure interpreter as an MCP server. It enables the AI to act as the player, exploring, solving puzzles, fighting trolls, and collecting treasure through tool calls.
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    Enables MCP-aware AI clients to read, query, and modify a Lexicon DJ library through structured tool calls, including searching tracks, managing tags, and curating playlists or smartlists.
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    MIT
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    An MCP server that connects AI assistants to the Steam Web API and storefront, enabling game library analysis, mood-based backlog recommendations, wishlist evaluation, and storefront searches.
    8
    6 npm
    MIT
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    An intelligent movie and TV series resource search tool based on Model Context Protocol (MCP), supporting multi-source search and link verification.
    2
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    Apache 2.0
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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.
    3
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    Apache 2.0
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    Lets AI assistants answer questions about your Spotify listening history, including taste evolution, top artists, recently played, and playlist analysis.
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    72 npm
    MIT
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    Enables YouTube content browsing, video searching, and metadata retrieval via the YouTube Data API v3. It also facilitates fetching video transcripts for summarization and analysis within MCP-compatible AI clients.
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    15 npm
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    MIT
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    Manages a local SQLite music track library with fingerprint-based incremental scanning, multi-condition search, missing analysis completion, and crate management, enabling DJs to organize and retrieve tracks without moving files.
    13
    AGPL 3.0
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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