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artsmia-mcp

by aminamos

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    • A
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      Enables searching artworks, artists, and exhibitions from the Art Institute of Chicago collection via natural language, returning detailed artwork information, artist biographies, and exhibition status through the ARTIC public API.
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      Enables AI agents to search The Met's open-access collection by keyword with filters for images, on-view status, medium, and year range, and to fetch rich object details such as artist bio, dimensions, department, and gallery number. Also lists the museum's curatorial departments so searches can be scoped, all without an API key.
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    • A
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      Enables querying the Cleveland Museum of Art's open access API to search artworks by filters like type, artist, and CC0 status, retrieve details by accession number, find creators, and explore exhibitions.
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    TDQS

    A3.7/5.0

    Scored across 7 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: search vs. random vs. highlights vs. on-view vs. person lookup. The only potential confusion is between search_artworks and search_highlights, but their descriptions clarify that one searches the full collection and the other surfaces curated highlights.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (search_artworks, get_artwork, get_person, etc.). The one compound name, get_on_view_artworks, still fits the established convention.

    Tool Count5/5

    Seven tools is well-scoped for a museum collection server. Each tool earns its place, covering search, retrieval, batch retrieval, random discovery, highlights, on-view browsing, and person lookup without unnecessary bloat.

    Completeness5/5

    For a read-only museum collection API, the surface is complete: full-text search, individual and batch lookup, random exploration, highlights, current exhibitions, and artist metadata. There are no obvious dead ends for typical collection-browsing workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues