Developer’s Guide to AI Agent Protocols
Blog post from Google Cloud
The text explores the complex landscape of AI agent development, emphasizing the challenges and solutions associated with various protocols like MCP, A2A, UCP, AP2, A2UI, and AG-UI. These protocols aim to streamline the integration of AI agents with tools, APIs, and frontend components, saving developers from writing extensive custom code. By using the Agent Development Kit (ADK), the text illustrates how a multi-step supply chain agent for a restaurant can be built, starting with a basic LLM and progressively incorporating protocols to manage inventory, place orders, authorize payments, and render dashboards. Each protocol addresses specific needs: MCP for connecting agents to data, A2A for agent-to-agent communication, UCP for standardizing commerce transactions, AP2 for securing payment authorizations, A2UI for creating flexible interfaces, and AG-UI for streaming interactions. The text encourages adopting these protocols to build a robust, scalable, and interactive AI agent ecosystem while leveraging existing ADK tools and integrations.