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dann26parr69

aifordatabase-mcp

by dann26parr69
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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

    A4.1/5.0

    Scored across 9 tools

    Disambiguation5/5

    Every tool has a clearly distinct purpose. 'ask' and 'run_query' are differentiated by AI usage vs direct SQL. Workflow tools (create_workflow, list_workflows, run_workflow) are separate from schema, connection, dashboard, and usage tools. No overlap.

    Naming Consistency5/5

    All tools use snake_case with a consistent verb_noun pattern: 'ask', 'create_workflow', 'get_schema', 'list_connections', etc. The naming is predictable and follows a clear convention.

    Tool Count5/5

    With 9 tools, the set is well-scoped for a database management MCP server covering queries (AI-assisted and direct), schema inspection, connection listing, dashboards, workflows, and usage monitoring. Each tool earns its place.

    Completeness4/5

    The tool surface covers core operations: querying, schema, connections, dashboards, workflows, and usage. Minor gaps exist: no update/delete for workflows or dashboards (though creation is possible via 'ask' for dashboards). Overall, the set is largely complete for its intended purpose.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources