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Smithsonian Open Access MCP Server

by molanojustin
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Python
Remote

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    • Smithsonian MCP Server

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      Enables searching and exploring millions of items from the Smithsonian Institution's collections including artifacts, artworks, specimens, photographs, and more, using the Smithsonian Open Access API.
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    • mcp-smithsonian

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      quality
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      maintenance
      Enables searching and retrieving detailed information about items from the Smithsonian Open Access collection, including metadata and images.
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    • The Metropolitan Museum of Art

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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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    • Museum MCP Server

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    • iDigBio MCP Server

      pipeworx-io
      A
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      Enables AI agents to search roughly 150 million digitized natural-history museum specimen records (plants, animals, fossils) from US collections, filtered by taxonomy and locality, and to retrieve the full normalized record for any single specimen by its uuid. It also returns taxonomic or geographic specimen counts grouped by a chosen field, optionally narrowed by the same filters, with no API key required.
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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

    A4/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool has a distinct primary purpose: search_objects for specific queries, get_object for full records, list_museums for museum metadata, explore_topic for open-ended browsing, and get_collection_stats for aggregate counts. However, search_objects also advertises using it for 'how many' questions via total_count, which overlaps with get_collection_stats and could cause misselection for count queries.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (search_objects, get_object, list_museums, explore_topic, get_collection_stats). The verbs are descriptive and predictable, making the set easy to scan.

    Tool Count5/5

    With only 5 tools, the set is well-scoped for the Smithsonian Open Access domain. Each tool covers a distinct access pattern (search, retrieve, list, explore, aggregate) without redundancy, making it easy to navigate.

    Completeness4/5

    The tools cover core workflows: searching, retrieving full records, listing museums, browsing topics, and getting statistics. Minor gaps exist—such as no dedicated tool to list available topics or object types, and no direct media download—but these can be worked around via existing tools.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources