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Museum MCP Server

by AiAgentKarl
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Python
Remote

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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

    B3.4/5.0

    Scored across 9 tools

    Disambiguation4/5

    The tools are mostly distinct, but `tool_search_artworks` (generic search) and `tool_search_by_artist`, `tool_search_by_department`, and `tool_search_by_period` could be confused, especially if the generic search already supports filtering. However, the focused search tools have clear parameters, so overlap is manageable.

    Naming Consistency4/5

    Tools follow a consistent `tool_` prefix followed by a verb_noun pattern (e.g., `tool_get_met_departments`, `tool_search_artworks`). There are minor inconsistencies like `tool_compare_museums` (verb_object without underscore) and `tool_get_artwork_details` vs `tool_get_museum_highlights` but overall the pattern is recognizable.

    Tool Count5/5

    With 9 tools, the server is well-scoped for a museum-focused MCP server. Each tool addresses a specific need (departments, search, details, random, highlights, comparisons), and the count is within the ideal range of 3-15.

    Completeness4/5

    The tool set covers the main museum browsing workflows: get departments, search by various criteria, get details, highlights, random, and comparison. Missing features might include artwork filtering by medium or sorting, but the current set supports core discovery and exploration without critical gaps.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources