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flin-shopify-analytics-mcp

by flin-agency
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Python
Remote

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    TDQS

    B3/5.0

    Scored across 19 tools

    Disambiguation5/5

    All 19 tools target distinct analytics aspects (e.g., sales, customers, products, discounts, attribution) with no overlapping purposes. Each tool's description clearly differentiates its focus, ensuring an agent can select the correct tool without ambiguity.

    Naming Consistency4/5

    All tools use the consistent prefix 'shopify_' and snake_case, but not all follow a strict verb+noun pattern (e.g., 'shopify_sales_overview' vs. 'shopify_list_customers'). Despite this, the naming is predictable and readable.

    Tool Count4/5

    With 19 tools, the count is slightly above the typical well-scoped range (3-15), but it is appropriate for a comprehensive analytics server covering multiple dimensions (sales, customers, products, etc.). Each tool serves a clear function without redundancy.

    Completeness4/5

    The tool set covers major Shopify analytics areas: sales KPIs, customer behavior (retention, repeat purchase, inactivity), product performance, discounts, and attribution. Minor gaps like inventory analytics or deeper cohort segmentation exist, but core workflows are well-supported.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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