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rijksmuseum-mcp+

by kintopp
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Python
Hybrid

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.9/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each listed tool has a clearly distinct target: search/discovery, single-artwork metadata, viewer control, set browsing, or change harvesting. The descriptions actively disambiguate close pairs like get_artwork_image vs inspect_artwork_image and navigate_viewer vs inspect_artwork_image, so misselection risk is low.

    Naming Consistency4/5

    Tool names are consistently snake_case verb_noun and mostly follow predictable groups: search_artwork/get_artwork_*, *_viewer, list/browse sets. Minor deviations like get_conservation_history instead of get_artwork_conservation_history and the long find_artworks_citing_publication keep it from being perfectly uniform.

    Tool Count5/5

    13 tools is within the ideal range, and each covers a distinct part of the museum workflow: searching, details, images, bibliography, conservation, curated sets, and change feeds. The viewer-related tools are numerous but justified by the interactive viewer feature.

    Completeness2/5

    The core collection access surface is solid, but descriptions frequently point to tools that are not in this server, including semantic_search, find_similar, collection_stats, search_persons, search_provenance, and search_inscriptions. Any agent following those directions will hit dead ends, and there is no full-text concept search among the available tools. This is a significant gap despite the otherwise rich metadata surface.

    Maintenance

    ActivityActive
    ResponsivenessWithin a week

    Resources