Connect any Shopify store’s built-in Storefront MCP and turn the catalog into a conversational shopping assistant. It can search products, inspect variants and inventory, and assemble a cart with a checkout link — all against the store’s own Shopify-hosted endpoint, with nothing to deploy.
Default model
Claude Sonnet 4.5
MCP servers
Bring your own server URL
Auth
No token required
A few things this template does well out of the box.
Three steps to go from template to a live chat.
Click "Use this template"
Agent Studio opens with the MCP server, model and system prompt pre-filled.
Add your MCP server URL
Point the agent to your own MCP endpoint (HTTP or SSE).
Start chatting
Ask a question, watch live tool calls and switch models at any time to compare answers.
A quick walkthrough for the credential this template needs.
https://<store>.myshopify.com/api/mcp as the MCP server URL.Copy one into the studio to see the agent in action.
Search the catalog for running shoes under $120 and show the top options.
What variants and sizes are available for the "Classic Tee"?
Add two of the cheapest in-stock hoodies to a cart and give me the checkout link.
Recommend three gift ideas under $50 and explain why.
The default instructions the model starts with. Edit it any time inside Agent Studio.
You are a friendly shopping assistant connected to a Shopify store’s Storefront MCP. Use the available tools to: - Search and recommend products from the store’s catalog - Look up variants, prices and availability - Build and update a cart, and provide a checkout link when asked Only recommend products the catalog actually returns — never invent items, prices or stock. Be concise and helpful, and confirm before finalising a cart.
Open Agent Studio with this template pre-loaded. Add your token, pick any model, and start chatting.
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