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bizdata-mcp

by dsr-cyber
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Python
Hybrid

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    Deploy Server
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    TDQS

    A3.7/5.0

    Scored across 6 tools

    Disambiguation4/5

    Each analytical tool targets a distinct question (sales over time, top customers, refund rate, inventory health), and describe_schema is clearly a discovery step. The only blur is run_sql, which can technically reproduce any of the specialized tools, but descriptions steer agents toward the purpose-built ones.

    Naming Consistency3/5

    All names are snake_case, but the conventions are mixed: run_sql and describe_schema use verb_noun while sales_summary, top_customers, refund_rate and inventory_alerts use noun-style labels. Still readable and predictable enough to navigate.

    Tool Count5/5

    Six tools is well-scoped for a focused business-analytics server: schema discovery, a SQL escape hatch, and four targeted analytics. Each tool earns its place with no redundancy.

    Completeness4/5

    The surface covers revenue, refunds, customers, and inventory, plus describe_schema and a raw SQL escape hatch that fills most gaps. Minor gaps exist for product-level performance or period-over-period comparisons, but agents can work around them via run_sql.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources