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AI Data MCP

AI Data MCP

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    TDQS

    A3.9/5.0

    Scored across 18 tools

    Disambiguation5/5

    Tools are cleanly separated by database prefix (mysql_, mongo_, redis_) and distinct actions (list, describe, query, execute, find, aggregate, insert, update, delete). Read vs write vs specialized operations are clearly delineated in descriptions, leaving no meaningful ambiguity.

    Naming Consistency5/5

    All names follow a consistent snake_case pattern with a database prefix and verb-based naming. Minor verb variations (query/find/command) are conventional for each database and do not break predictability.

    Tool Count5/5

    18 tools across three databases (MySQL, MongoDB, Redis) is well-scoped; each database has a focused set covering essential read/write operations without redundancy. The count is justified by the multi-database purpose.

    Completeness4/5

    Covers core CRUD for MySQL (via execute), MongoDB, and Redis (via allowlisted commands), with safety constraints. Minor gaps include no batch insert for MongoDB, no single-document update/delete, and no explicit Redis key deletion/expiration tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources