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ApparelHub-AI

apparelhub-mcp

Official

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      Enables AI assistants to run a print-on-demand store by creating products on Printify, pricing from production cost, publishing to Shopify and its sales channels, and generating ad creative from mockups.
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    TDQS

    B3.4/5.0

    Scored across 124 tools

    Disambiguation3/5

    With 124 tools, several clusters overlap—order lifecycle (approve_order/confirm_order/submit_order_to_fulfillment), analytics (analyze_what_works vs analytics_summary), and design generation (generate_image vs design_apparel)—but the descriptions explicitly cross-reference and guide selection. An agent can usually find the right tool, though the sheer volume increases misselection risk.

    Naming Consistency4/5

    All tools use snake_case and predominantly follow a verb_noun pattern (create_store, list_my_orders, sync_to_channel), with minor deviations for analytics/channel tools (analytics_summary, channel_performance) and a few noun-first names (api_request). This is mostly consistent and readable.

    Tool Count1/5

    124 tools far exceeds the 3-15 range typical for well-scoped servers; even for a broad commerce platform, this is an extreme mismatch that burdens tool selection and context. Many tools could be consolidated or grouped.

    Completeness4/5

    The surface is remarkably comprehensive, covering CRUD for stores, products, designs, collections, orders, workspaces, members, plus analytics, listing optimization, and fulfillment issue handling. Minor gaps exist—no dedicated get_product, get_store, or get_design tools—but these are partly mitigated by list tools and the api_request escape hatch.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive