What Are Shopify MCP Servers and Why They Matter | Avenue Z

What Are Shopify MCP Servers and Why They Matter for AI Commerce

A closer look at the Summer ’25 Editions update—and what brands need to do now.

By Jonathan Snow

May 28, 2025

Shopify’s Summer ’25 Editions release introduced over 150 updates, but one of the most quietly powerful changes was the launch of Storefront MCP servers. Now live across all Shopify stores, this infrastructure allows AI agents like ChatGPT and Perplexity to interact with your storefront directly: searching products, managing carts, answering FAQs, and even initiating checkout.

What is a Storefront MCP Server?

MCP stands for Model Context Protocol. It’s a new standard from Shopify that enables external AI systems to connect with a store’s commerce data in real time.

Every Shopify store now includes its own MCP endpoint:

https://your-store.myshopify.com/api/mcp

Through this endpoint, AI assistants can:

Search your product catalog
Pull and update cart information
Answer customer questions about store policies
Guide shoppers through checkout

No custom setup is required. These endpoints are already active.

What AI Agents Can Do Today

Using the Storefront MCP server, AI agents can:

Search the catalog with queries like “running shoes under $100”
Answer FAQs such as “What’s your return policy?”
Access and update shopping carts
Present complete product info, including images, prices, and descriptions

Here’s a simplified example of how an agent could interact with your store:

fetch("https://your-store.myshopify.com/api/mcp", {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    jsonrpc: "2.0",
    method: "tools/call",
    id: 1,
    params: {
      name: "search_shop_catalog",
      arguments: { query: "organic coffee beans" }
    }
  })
});

The response includes everything needed for a user to make a purchase, without ever visiting your site directly.

Why It Matters Now

This shift isn’t theoretical. With tools like ChatGPT already integrating AI shopping functionality, consumers are beginning to ask product-related questions in chat. If your store is well-structured and accessible through MCP, your products could be surfaced in those responses.

This is the start of a new discovery channel, where visibility is driven by how well your store communicates with AI systems.

Developer Tools to Support MCP

To help brands take advantage of this shift, Shopify also released a set of developer updates in Summer ’25:

Local development with hot reload, no tunnels required
Simulated dev stores for every plan tier (Basic, Grow, Advanced, Plus)
AI code assistance via the Shopify.dev MCP Server
Support for GraphQL, Functions, and Polaris in your IDE

These tools make it easier to build, test, and optimize apps and experiences that interact with MCP.

What You Should Do Next

Test your MCP endpoint: Send a few test requests to see what AI systems are currently seeing when they query your store.
Audit your product data: Ensure product titles, descriptions, and metadata are clean, consistent, and aligned with how customers speak.
Review your policy language: FAQs, shipping terms, and returns policies should be easy to interpret and directly answerable by AI.
Optimize for visibility: Rich schema, structured content, and trusted media coverage all contribute to how often AI agents recommend your store.

AI is becoming a storefront. Make sure yours is ready.

As discovery shifts to chat interfaces and AI agents, having a storefront structured for AI is no longer optional. Shopify’s MCP servers provide the infrastructure. As a Premier Shopify Partner, Avenue Z can help you turn it into real results.

By Jonathan Snow

Dr. Jonathan Snow is Co-Founder and Chief Innovation Officer at Avenue Z with expertise in DTC, eCommerce, and social media.