Building Connected Agents with MCP and A2A

To build a production-ready agentic system, where intelligent agents can freely collaborate and act, we need standards and shared protocols for how agents talk to tools and how they talk to each other. In the Agent Production Patterns module in the Production-Ready AI with Google Cloud Learning Path, we focus on interoperability, exploring the standard patterns for connecting agents to data, tools and each other. Here are three hands-on labs to help you build these skills. The Foundations of ADK, MCP, A2A This lab serves as your "Hello World" for the modern agent stack. You will build a simple, specialized agent that demonstrates how Agent Development Kit (ADK), Model Context Protocol (MCP), and Agent to Agent Protocol (A2A) work together. Start the lab! Lab: Getting Started with MCP, ADK and A2A Objective: Build a specialized currency agent that handles exchange rates, demonstrating the core building blocks ADK, MCP, and A2A communication. Connecti