ucp-checkout-mcp

Map UCP checkout operations to JSON-RPC 2.0 MCP tools.

35|16|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/OrcaQubits/agentic-commerce-claude-plugins --skill ucp-checkout-mcp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ucp-checkout-mcp
Source: https://github.com/OrcaQubits/agentic-commerce-claude-plugins/tree/main/ucp-agentic-commerce/skills/ucp-checkout-mcp
Command: npx skills add https://github.com/OrcaQubits/agentic-commerce-claude-plugins --skill ucp-checkout-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables AI agents to interact with commerce checkout processes using the Universal Commerce Protocol (UCP) over the Model Context Protocol (MCP) binding, facilitating automated purchasing and integration with MCP-enabled platforms like Shopify.

Core Features & Use Cases

  • MCP Tool Exposure: Exposes UCP checkout operations (create, get, update, complete, cancel) as distinct MCP tools.
  • Platform Integration: Designed for building merchant MCP servers or integrating with existing ones, such as Shopify's production MCP endpoint.
  • Use Case: An AI agent needs to complete a purchase on a Shopify store that exposes its checkout via MCP. The agent uses the ucp-checkout-mcp skill to call the create_checkout and complete_checkout MCP tools with the necessary payload and metadata.

Quick Start

Use the ucp-checkout-mcp skill to create a checkout session with the provided checkout object and idempotency key.

Frequently Asked Questions about ucp-checkout-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Shopify checkout operations using an AI agent?

You can automate Shopify checkout by exposing Universal Commerce Protocol (UCP) operations as Model Context Protocol (MCP) tools. This allows AI agents to create, update, and complete checkout sessions via JSON-RPC 2.0 calls to the merchant's MCP server.

What is the Universal Commerce Protocol checkout binding for MCP?

The UCP checkout binding for MCP maps standard commerce checkout functions like create, get, and cancel to MCP tool definitions. This standardization enables AI agents to interact with platforms like Shopify using a consistent JSON-RPC 2.0 interface.

How do I create a checkout session via MCP for an AI commerce agent?

To create a checkout session via MCP, the AI agent calls the create_checkout tool with a checkout object and an idempotency key. This MCP tool maps the request to the platform's UCP checkout specification to initiate the transaction.

Does the UCP checkout MCP integration work with existing Shopify MCP servers?

Yes, the UCP checkout MCP integration is designed to work with existing merchant MCP servers like Shopify's production endpoint. It fetches live UCP specifications and platform-specific documentation to ensure accurate tool definition and interaction.

What UCP checkout operations can an AI agent expose through MCP tools?

An AI agent can expose five core UCP checkout operations through MCP tools: create, get, update, complete, and cancel. These operations cover the full lifecycle of an automated commerce checkout process.

Why do I need live UCP specifications to build an MCP checkout server?

Fetching live UCP specifications is required because platform-specific implementations like Shopify may update their checkout payloads and metadata. Relying on live documentation ensures the MCP tool definitions remain accurate for AI agent interaction.