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codeyogi911

Shopify MCP Server

by codeyogi911

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    • A
      license
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      quality
      D
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      Enables querying Shopify store data (products, customers, orders) via GraphQL API using read-only tools. Works with Claude Desktop via npx command.
      11 npm
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    • A
      license
      C
      quality
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      Enables AI assistants like Cursor or Claude Desktop to fully manage a Shopify store using the Model Context Protocol, with tools for products, orders, customers, inventory, discounts, and analytics.
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    • A
      license
      Not graded
      quality
      C
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      Connects Claude, ChatGPT, Cursor, or any MCP client to a Shopify store, enabling read-only access to themes, Liquid files, catalogue data, and store configuration through 122 tools.
      1
      Apache 2.0
    • F
      license
      Not graded
      quality
      D
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      Enables AI assistants to access and manage Shopify store data including products, orders, inventory, and analytics through the Model Context Protocol. It allows users to query store performance and customer details using natural language.
      -

    TDQS

    C2.7/5.0

    Scored across 15 tools

    Disambiguation2/5

    Most resource-specific tools are distinct, but the two undocumented customer tools (get_customer_phone, get_customer_contacts) blur into the same customer area and overlap with browse_customers. Without descriptions, an agent cannot reliably choose among them, and query_shopify is a catch-all that further obscures boundaries.

    Naming Consistency3/5

    All names use snake_case verb_noun style, but retrieval verbs are inconsistent: browse_products/browse_orders/browse_customers, list_inventory_items, get_inventory_item, get_customer_phone. This is readable but not a predictable convention.

    Tool Count4/5

    15 tools is a reasonable size for the broad Shopify Admin domain, covering products, variants, inventory, orders, customers, abandonments, images, and GraphQL access. A few tools (get_customer_phone, get_customer_contacts) seem redundant or narrow, but the count itself is not excessive.

    Completeness4/5

    Specialized coverage is strong for product creation and inventory, but missing obvious CRUD operations like updating/deleting products or mutating orders/customers. The query_shopify GraphQL fallback fills these gaps, so agents can complete workflows even if the specialized surface is incomplete.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues