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Kaggle MCP Server

by art-qalam-fr
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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

    C2.9/5.0

    Scored across 51 tools

    Disambiguation2/5

    Multiple tools have overlapping purposes: discussions_trending, discussions_search, discussions_list, discussions_by_source, discussions_solutions, and discussions_writeups all retrieve discussion content with subtle differences; competition_leaderboard vs competition_leaderboard_download also confuse. Kernel_output's description mismatches its name, further muddying tool selection.

    Naming Consistency4/5

    Names mostly follow snake_case with domain prefixes (competition_, dataset_, model_), but plural/singular inconsistency exists (discussions_* vs discussion_*; competitions_list vs competition_leaderboard). Some tool names are less predictable (kernel_output, file_upload), though the overall pattern remains readable.

    Tool Count1/5

    51 tools is extreme over-provisioning for an MCP server and exceeds the 50+ threshold for severe mismatch. Even for Kaggle's broad surface, many tools could be consolidated (e.g., six discussion-listing variants), making the set unwieldy.

    Completeness4/5

    The server covers CRUD for datasets and models, plus competition submissions, kernel sessions, and discussion reading. Minor gaps exist (no update/delete for model instances, no discussion posting/reply), but core workflows are supported.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources