"A server for Shopify development tools and API integration" matching MCP servers:

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

MCP server for Shopify Admin API with a ComfyUI bridge for AI product image generation. Covers products, orders, inventory, and customers.

MCP server for managing Shopify stores via the Admin GraphQL API, providing tools to read/update products, orders, customers, inventory, and create discount codes.

Enables playing a Workato-themed text-based RPG through MCP tools, allowing users to explore dungeons, battle enemies, and manage character progression in an integration-themed adventure.

Enables AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.

A Model Context Protocol server that enables seamless integration between Claude AI and development tools like VSCode, Augment, Vercel, Airtable, and Square.

A Model Context Protocol server that connects AI agents to the Shopify Admin GraphQL API, enabling management of products, orders, customers, and more through natural language.

Enables interaction with Shopify store data via the GraphQL Admin API to manage products, customers, orders, and collections. Supports multi-store configurations and provides comprehensive management tools for e-commerce administration in both local and remote environments.

Enables Claude to read and edit Shopify themes locally via the Shopify CLI, with automatic git commits for undo and guardrails that prevent unintended changes to your live theme.

Provides instant, offline access to complete Shopify Liquid documentation (198 docs covering tags, filters, and objects) for AI assistants to help with theme development and Liquid templating.

Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).

Shopify MCP server with working analytics (ShopifyQL), auto-refresh auth, and Shopify API 2026-04. Fixed broken tools from other packages real sales reports, no silent token expiry, no runtime crashes

Enables LLM clients such as Cursor and Claude to discover and use generated REST services through MCP tools for create, update, and delete actions and MCP resources for list and get-by-id context. Services generated in one command are exposed simultaneously as REST endpoints and MCP tools and resources.

A 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.

Enables AI assistants to interact with generated REST APIs by discovering and using CRUD tools and read-only data resources.

Enables AI assistants to discover and invoke CRUD tools and read-only resources over the Model Context Protocol for generated API services.

Enables AI agents to query a Shopify store's orders, products, and inventory levels read-only through the Admin GraphQL API, with no write capability and demo fixtures by default. Runs out of the box without credentials and paces calls on query cost.

Enables AI assistants to interact directly with generated REST APIs by exposing CRUD operations as MCP tools and read-only data as resources.

Exposes generated CRUD services to LLM clients over the Model Context Protocol, providing tools for create, update, and delete actions plus read-only resources for listing and fetching records by id. It lets assistants like Claude, ChatGPT, and Cursor discover and manipulate the same data served by the project's REST endpoints without any extra glue code.

Exposes every generated CRUD service to LLM clients such as Claude, ChatGPT, or Cursor through discoverable MCP tools for create, update, and list actions plus read-only resources, so models can query and manipulate data without raw HTTP calls. It runs alongside the same codebase's REST endpoints, letting clients and AI share one data layer.