AI Shopping Agent with Open Protocols

Consider a simple request:

I have an extended family dinner in 3 days. I want something relaxed to wear, within $100.

This sounds simple, but fulfilling it requires an agent to understand personal context, discover products, coordinate with specialized services, complete commerce workflows, enforce payment policies, and provide an interactive user experience.

An LLM alone cannot reliably perform all of these tasks. A protocol-based architecture provides standardized boundaries between the agent, tools, other agents, commerce systems, payments, and the user interface.

The architecture at a glance:

A protocol-based architecture for an AI shopping agent.

The 6 protocols address different parts of the workflow:

  • Model Context Protocol (MCP) connects the agent to tools and authorized user context.
  • Agent2Agent Protocol (A2A) enables communication and delegation between agents.
  • Universal Commerce Protocol (UCP) standardizes interactions with merchant commerce capabilities.
  • Agent Payments Protocol (AP2) provides payment authorization and transaction accountability.
  • Agent-to-User Interface Protocol (A2UI) enables dynamic, declarative user interfaces.
  • Agent-User Interaction Protocol (AG-UI) streams real-time agent events to the frontend.

📌 Source: https://developers.googleblog.com/developers-guide-to-ai-agent-protocols/

Consider a simple request: I have an extended family dinner in 3 days. I want something relaxed to wear, within $100. This sounds simple, but fulfilling it requires an agent to understand personal context, discover products, coordinate with specialized services, complete commerce workflows, enforce payment policies, and provide an interactive user experience. An LLM alone…

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