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    A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book information.
    7
    147 npm
    95
    MIT
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    Federated, license-verified search across open-access museum collections — currently The Met, Cleveland, AIC, Wikimedia Commons, and Europeana, with more being added. Strict-default-deny rights gate accepts only CC0 / Public Domain Mark, returning reuse-safe artwork with citations in three styles.
    5
    92 npm
    13
    MIT
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    Provides access to Internet Archive's Open Library metadata, enabling queries about books, authors, and subjects via natural language through the Pipeworx gateway.
    2 npm
    MIT
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    Provides Chinese cultural and public data as MCP tools, including random classical poems, Chinese holiday and compensatory workday queries with annual summaries, and historical events for any date.
    4
    MIT
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    Provides AI assistants with access to search, explore, and analyze over 3 million collection objects from the Smithsonian Institution's museums. Enables finding objects currently on exhibit, retrieving detailed metadata, high-resolution images, and 3D models from America's national museums.
    5
    498 npm
    10
    MIT
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    Exposes 97 official Shanghai Library open data APIs and the Sou-Yun poetry database (1.99 million poems) as 12 MCP tools, covering genealogy, ancient books, calligraphy, historical buildings, and more. Enables MCP clients to query these datasets using natural language.
    12
    27 PyPI
    4
    MIT
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    A Model Context Protocol plugin for Chinese Tung Shing (黄历/通勝/通胜) almanac calculations
    1
    25 npm
    37
    MIT
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    Provides access to Iconify's 200,000+ open source vector icons from 200+ icon sets, enabling search, browsing, and retrieval of icon data with framework usage examples.
    4
    16 npm
    MIT
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    A Model Context Protocol server that provides Artsy partner analytics tools for Claude Desktop, allowing users to query gallery metrics, sales data, audience insights, and content performance through natural language.
    14
    1,439 npm
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