Shopify also uses MCP to connect AI with product information and purchasing features. MCP is often thought of as a technology for AI development, but on Shopify it is also used in scenarios where AI searches for products or operates carts and checkout.
This article explains how Shopify MCP works, the different types available, its role in AI shopping, and its impact on store owners.
What Is Shopify MCP?
In this article, we use the term "Shopify MCP" as a simple way to refer collectively to the various MCP servers and related mechanisms used on Shopify.
Shopify provides multiple MCP servers for different purposes, including development support, product search, cart, and checkout. With a full set of UCP-compliant MCPs now in place, a flow is taking shape where products can be discovered through conversation with AI and lead directly to a purchase.
Store owners don't need to implement MCP themselves, but AI-driven product discovery and purchasing run on top of these MCPs. Start by registering accurate and specific product information, and also consider using AI-powered customer service on your own store.
MCP Is the Mechanism That Connects AI to Shopify's Information and Features
MCP stands for "Model Context Protocol." It is a standard that lets AI exchange data and tools with external systems in a common way.
As of August 2026, Shopify mainly provides the following MCPs.
| MCP | Main Role |
|---|---|
| Dev MCP | Supports AI-assisted development of Shopify apps and themes |
| Global Catalog MCP | Searches for products across multiple merchants on Shopify |
| Storefront Catalog MCP | Searches for products from a specific Shopify store |
| Cart MCP | Creates carts and changes products, quantities, and other details |
| Checkout MCP | Creates and manages checkout sessions |
| Order MCP | Retrieves information on orders created via AI agents |
| Storefront MCP | Provides product search, policy lookup, and purchasing experiences for a specific store |
| Customer Accounts MCP | Uses order and account information for authenticated customers |
The information in this article is based on details as of August 2026.
Normally, AI cannot freely access Shopify's information and features. Going through an MCP server allows the information AI can use and the operations it can perform to be exchanged in a defined format.
For example, with the MCP that searches Shopify products, AI can send criteria such as "find me an organic cotton sweater" and retrieve product information matching those criteria. After a product is chosen, a separate MCP can be used to move it into the cart or checkout.
Shopify Uses MCP for Both Development Support and AI Shopping
MCP use cases on Shopify fall broadly into two categories: "support for Shopify development" and "AI shopping."
For development support, Dev MCP lets AI tools such as Cursor and Claude Code reference Shopify development information. It is used to ask AI questions about the Shopify API or Liquid, or to get help writing code. For AI shopping, MCP is used to let AI handle product search, cart, checkout, and order lookups.
The Relationship Between Shopify MCP and UCP
UCP (Universal Commerce Protocol) is a standard related to AI shopping. While MCP defines how AI exchanges data and functionality with external systems, UCP defines a common format for handling commerce features such as product search, cart, and checkout. Shopify provides UCP-compliant Catalog MCP, Cart MCP, Checkout MCP, Order MCP, and more.
For more on UCP, see the article below.
Types of Shopify MCP and What They Can Do
Shopify provides multiple MCP servers for different purposes. Not every Shopify store owner needs to configure each MCP directly. Which MCPs are needed depends on the AI service or app being built.
Dev MCP: Supporting Shopify Development with AI
Dev MCP is an MCP server that supports Shopify development using AI. Its main users are engineers and Shopify Partners who build Shopify apps, themes, and custom storefronts.
It lets AI access Shopify's development resources, and can be used to check Shopify API specifications or help with writing code. Shopify's official AI Toolkit also points to Dev MCP as the connection destination when using MCP.
For more on the Shopify AI Toolkit, see the article below.
Catalog MCP: How AI Searches Shopify Products
Catalog MCP is used for AI to search for and retrieve Shopify products. Shopify offers Global Catalog and Storefront Catalog depending on the search scope.
Global Catalog MCP is an MCP for searching products across merchants throughout Shopify as a whole. It suits shopping AI that compares products across multiple stores.
Storefront Catalog MCP is an MCP for searching products limited to a single specific store. It can be used for a product search AI dedicated to your own store.
For more on how Shopify Catalog works and what store owners should check, see the article below.
For more on the Catalog API, the following article for developers may also help.
Cart, Checkout, and Order MCP: Connecting Product Discovery Through to Post-Purchase
Cart MCP is an MCP that manages the pre-purchase cart, including adding products and changing quantities. While a shopper is comparing products, it lets them check the total price and other details while updating the cart contents.
Checkout MCP is an MCP that creates a checkout session once a shopper has decided what to buy. It can convert a cart created with Cart MCP into a checkout and direct the shopper to the purchase screen on the Shopify store. Depending on the agent and permissions used, it can also support completing checkout on the agent's side.
Order MCP is used to retrieve the current status of an order created via an AI agent. It lets you check order information such as products, fulfillment, and post-purchase changes. Note that Order MCP can only retrieve orders the agent itself created — it is not a mechanism for searching across orders a customer previously made through other sales channels.
Storefront MCP: Connecting AI to a Specific Shopify Store
Storefront MCP is an MCP server that connects an AI agent to a specific Shopify store. Because it lets AI use the store's product catalog and policies, it can be used to build AI customer service features such as "find recommended products," "answer questions about a product," or "check shipping and return conditions."
Storefront MCP lets you search a store's products using a UCP-compliant mechanism. The cart-related features it previously offered are now deprecated, and migration to the UCP-compliant Cart MCP is currently recommended. The deprecated tools are stated to remain available until August 31, 2026.
For more on how AI-driven product discovery and purchasing works, see the article below.
![[For Shopify Managers] What Is Agentic Storefront? How to Respond in the Age of Agentic Commerce](https://wsrv.nl/?w=100&url=cdn.shopify.com/s/files/1/0611/3542/1693/articles/Agentic_Storefront_5162bd2e-8d90-4b47-891b-20eda6616297.png?v=1776996741)
Customer Accounts MCP: Handling Customer Orders and Account Information
Customer Accounts MCP is an MCP server for letting AI handle information related to authenticated customers. For example, it can be used to build an AI assistant that answers questions such as "when will my order arrive?" or "I'd like to check my past orders" based on authenticated customer information. It is used not only for orders but also for operations related to customer accounts.
Because it handles information tied to individuals, not just anyone can access it freely. In addition to customer authentication via OAuth 2.0, apps must also meet Shopify's requirements for accessing protected customer data.
What Shopify Store Owners Can Do to Prepare for MCP
Since most of Shopify's MCPs are developer-facing mechanisms, typical Shopify store owners don't need to build an MCP server themselves. What matters is making it easy for AI to understand your products.
Register Product Information Accurately and Specifically
For AI to find products that match what a shopper wants, it is important to register information on Shopify that lets it judge a product's characteristics.
Beyond the product title and description, details such as color, size, material, product category, price, stock, and variants also need to be registered accurately. For example, if the product title is only "ABC-001," it becomes difficult for AI to determine the type or characteristics of the product.
In AI shopping, shoppers may search for products by specifying conditions such as "black," "size M," or "made of cotton." To make it easier for shoppers to compare products, it is important to register specific product characteristics and keep price and stock information up to date.
Consider Using AI-Powered Customer Service on Your Own Store
MCP can be used not only for external AI channels but also when building an AI shopping assistant for your own store.
Using Storefront MCP and Storefront Catalog MCP, you can build AI that searches your own products and answers questions about products or store policies. Combining this with Customer Accounts MCP extends its capabilities to things like order guidance for logged-in customers. Stores with a large number of products, frequent pre-purchase questions, or products that require comparison or consultation are well suited to using AI-powered customer service.
Summary
Shopify provides multiple MCP servers for different purposes, including development support, product search, cart, and checkout.
Store owners don't need to implement MCP themselves, but with AI-driven product discovery and purchasing on the horizon, it is important to keep product information accurately managed.
