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Oceanum MCP

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    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

    A3.7/5.0

    Scored across 13 tools

    Disambiguation4/5

    The data-access tools are clearly tiered by role: search_catalog finds datasources, get_datasource_info/stage_query inspect metadata and size, query_data returns inline previews, and export_query offloads large results. The only real friction is load_datasource ('summarize an entire datasource') versus get_datasource_info ('metadata for one datasource'), which can look interchangeable at a glance, plus the storage_file_exists/storage_file_info pair.

    Naming Consistency4/5

    Every name is snake_case with a clear domain prefix (datamesh_/storage_) and most follow verb_noun (query_data, export_query, stage_query, list_files, read_file, delete_file). The deviations are minor: load_datasource rather than get_datasource, and the noun-first storage_file_exists/storage_file_info.

    Tool Count5/5

    Thirteen tools split cleanly into two domains (7 datamesh, 6 storage), each earning its place in the query/export workflow. Nothing feels redundant or padded at this size.

    Completeness4/5

    The data pipeline is covered end-to-end (discover → inspect → stage → query → export → update metadata) and storage has full create/read/list/delete/stat coverage. Gaps remain: no datasource creation or deletion, no storage copy/move, and metadata updates are the only write path for the catalog.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources