hyperice-ucp-shopping
Hyperice runs a live, publicly addressable MCP server as the transport for the Universal Commerce Protocol (UCP) shopping service on its Shopify storefront. The server is declared by Hyperice's own UCP merchant profile at /.well-known/ucp and advertised to agents in /llms.txt and /agents.md. This is a real, provider-published agent surface — not a candidate derived from an OpenAPI.
One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.
Endpoint
Hosted endpoint · transport http
Connect
This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):
For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:
If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:
Tools
search_catalog— Search for products in the catalog.lookup_catalog— Batch lookup products or variants by identifier.get_product— Get product details.create_cart— Create a cart.get_cart— Get cart.update_cart— Update cart.cancel_cart— Cancel cart.create_checkout— Create a checkout.get_checkout— Get checkout.update_checkout— Update checkout (shipping address and method).complete_checkout— Complete checkout and place order. Requires explicit buyer approval.cancel_checkout— Cancel checkout.get_order— Get order.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.
Work with this as data
Every MCP server here is available over the APIs.io API and to AI agents over MCP.