Shopify MCP Pro
Related Servers
Alternatives to Shopify MCP Pro
No user-submitted related servers found.
Related Servers
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- AlicenseNot gradedqualityAmaintenanceA production-grade MCP server and CLI tool that enables AI agents to manage Shopify stores through 49 built-in tools across products, orders, inventory, and analytics. It supports natural language workflows for tasks like inventory tracking, customer support, and sales reporting.43318MIT
- AlicenseAqualityFmaintenanceFree, open-source MCP server that connects Claude to the Shopify Partner API. 25 tools for revenue analytics, churn analysis, retention cohorts, merchant health scoring, conversion funnels, revenue forecasting, and growth velocity.2513MIT
- FlicenseNot gradedqualityCmaintenanceAn MCP server providing six scoped tools for Shopify's Admin API, enabling natural-language querying of chargebacks, orders, refunds, customers, and revenue.-
- AlicenseNot gradedqualityFmaintenanceA comprehensive MCP server for Shopify Admin API integration, enabling AI assistants to manage products, orders, customers, inventory, analytics, and more through natural language.2018MIT
TDQS
Scored across 52 tools
Many tools target distinct resources, but several analytics tools overlap (e.g., getConversionReport vs getProductAnalytics, getSalesReport vs getFinancialSummary). The presence of getCustomReport as an alias for runShopifyQL adds confusion. Overall, agents can distinguish most tools but may struggle with similar analytics functions.
Most tools follow a consistent verb_noun pattern (createProduct, getProduct, listProducts, updateProduct). However, there are minor inconsistencies: getAbandonmentReport (not getAbandonedCheckoutsReport), runShopifyQL (verb_noun but no underscore), and setMetafield (set instead of create/update). Overall, naming is predictable.
52 tools is on the high side for an MCP server, but Shopify's extensive API justifies many operations. The count is borderline: it covers many areas but feels heavy. Some tools could be merged (e.g., multiple analytics reports), but each addresses a distinct use case.
The tool set covers core CRUD for products, orders, customers, and more, but lacks delete operations (e.g., deleteProduct, deleteOrder). Missing order lifecycle actions like cancelOrder or capture. Analytics are thorough. Notable gaps in basic write operations hinder full lifecycle management.