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Shop Analytics MCP Server

by bogdaamn

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    TDQS

    A4.7/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a distinct analytics query—schema, country customer counts, leaderboards for customers, products, categories, and revenue periods. There is no overlap; an agent can unambiguously pick the right tool for a given question.

    Naming Consistency5/5

    All tool names follow the same pattern: 'get_' followed by a descriptive phrase in snake_case (e.g., get_top_selling_products, get_revenue_for_period). The naming is perfectly consistent and immediately conveys the operation and focus.

    Tool Count5/5

    With 8 tools, the server is well-scoped for a shop analytics domain. Each tool covers a distinct business question without redundancy, and the count is in the ideal range for usability and clarity.

    Completeness4/5

    The set covers core analytics needs: customer demographics, top customers by spend and orders, top products and categories, revenue totals, and schema discovery. Minor gaps exist (e.g., no per-product revenue breakdown or filtering by specific customers), but the surface is largely complete for typical analytics queries.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues