acp-checkout-mcp

Expose ACP checkout operations as callable MCP tools for AI agents.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables AI agents to perform ACP checkout operations directly through tool-calling, abstracting away the complexities of raw HTTP requests and simplifying integration with MCP-based commerce servers.

Core Features & Use Cases

  • MCP Tool Exposure: Exposes ACP checkout operations (create, update, get, complete, cancel) as callable MCP tools.
  • Simplified Agent Integration: Allows agents that prefer tool-calling to interact with ACP checkout flows seamlessly.
  • Use Case: An AI agent needs to purchase an item. Instead of making direct API calls, it invokes the create_checkout_session tool provided by this Skill, passing the necessary item details.

Quick Start

Use the acp-checkout-mcp skill to create a new checkout session for the provided items.

Frequently Asked Questions about acp-checkout-mcp

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

FAQPage Schema
How do I enable AI agents to handle ACP checkout flows?

You can enable AI agents to handle ACP checkout flows by mapping RESTful checkout endpoints to MCP tool interfaces. This allows agents to perform session creation, updates, retrieval, completion, and cancellation directly through tool-calling.

What is the Agentic Commerce Protocol checkout process as MCP tools?

The Agentic Commerce Protocol checkout process as MCP tools exposes checkout operations like create, update, get, complete, and cancel as callable functions. This abstracts raw HTTP requests, simplifying integration with MCP-based commerce servers.

How do I create a checkout session for an AI agent using tool-calling?

To create a checkout session for an AI agent using tool-calling, invoke the create_checkout_session tool provided by the MCP server. Pass the necessary item details directly to the tool instead of making direct API calls.

Does the MCP checkout server support idempotency and API versioning?

Yes, the MCP checkout server supports idempotency and API versioning. Adherence to these standards, along with robust error handling, ensures reliable agent-driven purchases during agentic commerce operations.

Can I cancel or update an existing checkout session through an MCP server?

Yes, you can cancel or update an existing checkout session through the MCP server. It exposes update and cancel operations as callable tools, allowing AI agents to manage the full session lifecycle.

Why use MCP tool-calling instead of direct HTTP requests for agentic commerce?

Using MCP tool-calling instead of direct HTTP requests for agentic commerce abstracts away the complexities of raw API integration. This allows AI agents to interact with checkout flows seamlessly by invoking simple tool functions.