While some retailers, like Amazon (and Adidas, apparently!), are blocking AI agents from making purchases on users’ behalf on their respective platforms, e-commerce platform Shopify has moved in the other direction.
On Monday, the company announced that browser-based AI agents can now complete purchases on Shopify merchants’ sites, extending their capabilities beyond just searching for products and adding items to carts.
Shopify previously supported WebMCP for its storefronts and carts, allowing browser-based AI agents to comb through a Shopify retailer’s inventory, search for products, and add them to a cart. The addition of WebMCP support for checkout, including Shop Pay, means these agents can now read the checkout screen, update it, and submit the transaction with the buyer’s authorization, without relying on screenshots or scraping webpages, the company said.
This update introduces three new tools — get_checkout,
This update introduces three new tools — get_checkout, update_checkout, and complete_checkout — that allow agents to inspect a checkout, change things like the customer’s address or delivery option, and then place an order after the buyer authorizes it.
The feature is rolling out to all eligible Shopify merchants, said Gil Greenberg, a staff product manager who works on agentic commerce at Shopify, in a post on X.
Shopify already offers a hosted Model Context Protocol (MCP) server, which allows agents to work server-to-server. The proposed standard WebMCP, meanwhile, is designed for agents that work inside the buyer’s browser. Both leverage Shopify’s Universal Commerce Protocol (UCP), which provides a common way to search for and discover products, build carts, and check out.
Top AI agents like Muse and Instinct already
Top AI agents like Muse and Instinct already have direct partnerships with Shopify for agentic commerce. The Instinct partnership was announced today.
“If your agent is operating in the buyer’s browser, use WebMCP tools provided on storefront and checkout to efficiently complete order placement, instead of navigating HTML built for humans,” Greenberg wrote on X. “These WebMCP tools provide structured and efficient APIs, purposely designed —s, and handoff requirements.”
