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mcp-sql-querystore

by deepeshd87
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Python
Remote

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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

    A3.8/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a clearly distinct diagnostic angle: regression detection, execution plans, parameter sniffing, missing-index impact, wait stats, and an instance-wide sweep. The only near-overlap (get_regressed_queries vs sweep_regressions) is explicitly resolved by the descriptions distinguishing single-database vs all-database scope.

    Naming Consistency5/5

    All six names follow a consistent snake_case verb_noun pattern (get_*, analyze_*, sweep_*). The verb variation is meaningful rather than chaotic, and the object of each name clearly signals its purpose.

    Tool Count5/5

    Six tools is well within the ideal range and each one occupies a distinct slot in the Query Store diagnostic workflow. No tool feels redundant or filler.

    Completeness4/5

    The surface covers the core Query Store diagnostics lifecycle: regression detection, plan inspection, parameter sniffing, missing indexes, wait stats, and instance-wide triage. Minor gaps remain (e.g., retrieving query text or top-resource queries) but core agent workflows are fully supported.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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