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mcp-sql-querystore

by deepeshd87
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Python
Remote

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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

    A3.8/5.0

    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

    Resources