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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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    A Model Context Protocol (MCP) server for the Open Library API that enables AI assistants to search for book information.
    7
    223 npm
    100
    MIT
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    A Model Context Protocol plugin for Chinese Tung Shing (黄历/通勝/通胜) almanac calculations
    1
    34 npm
    37
    MIT
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    A Model Context Protocol server that enables Claude and other LLMs to interact with the Drama Corpora Project API for analyzing dramatic texts, character networks, and play information across different languages and periods.
    6
    6
    MIT
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    Allows you to search for artworks, retrieve detailed information about specific artworks, access image tiles for artworks, and explore user-created collections from the Rijksmuseum.
    47 npm
    72
    MIT
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    Enables searching and retrieving detailed information about items from the Smithsonian Open Access collection, including metadata and images.
    220 npm
    MIT
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    Model Context Protocol server for comic data sources with plugin architecture, enabling character information retrieval from Comic Vine API.
    1
    MIT
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    Provides real-time astrological transit calculations and synthetic evolutionary doctrine readings via the Model Context Protocol for on-device LLMs.
    MIT
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    An MCP server that gives AI agents ex-Yugoslav cultural context, resolving cultural references with accurate quotes, attributions, and slang meanings from a citable database.
    1
    MIT
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    Enables full-text search of the Media History Digital Library's digitized entertainment trade press (e.g., Variety, Billboard), returning leaf-level results with keyword-in-context excerpts, no API key required.
    2
    Apache 2.0
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    Provides access to the impresso corpus of digitized historical newspapers, enabling article search with keyword-in-context snippets, filtering, facets, and source metadata retrieval.
    2
    Apache 2.0
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    Enables browsing situation groups and reading full-text chapters from a curated library of 403 deep reads, with the model matching situations to entries instead of using keyword search.
    3
    MIT
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    Enables casting I Ching hexagrams with the traditional three-coin method and retrieving James Legge's public-domain translation of judgments, images, and line texts, returning auditable cast records with changing and transformed hexagrams while leaving interpretation to the host model. It also exposes hexagram and trigram resources plus reflection prompts for use in study, creative thinking, and decision exploration.
    4
    MIT
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    A powerful Model Context Protocol (MCP) server for scraping Behance.net. Extract projects, user profiles, images, and job listings from Behance's creative community without any API keys or subscriptions.
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    MIT
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    Enables AI assistants to query the MusicBrainz music database for artists, albums, recordings, and labels. It provides tools for advanced searches, detailed metadata retrieval, and accessing cover art information.
    17
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    GPL 3.0
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    Provides traditional Chinese lunar calendar information including auspicious date checking, BaZi (八字) Four Pillars analysis, festival data, moon phases, zodiac compatibility, and calendar conversions based on Chinese cultural traditions.
    20
    2
    MIT
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    Enables users to search for anime information via the Bangumi API and discover corresponding real-world pilgrimage locations through the Anitabi API. It provides tools for retrieving anime metadata and detailed geographic coordinates for 'seichi junrei' locations.
    3
    AGPL 3.0
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    Receives birth information and returns Western astrology natal charts including planetary positions, houses, ASC/MC text, and a chart PNG image.
    1
    MIT
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    Enables users to explore Chinese calligraphy through knowledge Q&A, personalized learning plans, master information, technique guidance, aesthetics discussions, and common question answering.
    6
    MIT