How to Build an AI Agent with MCP, ADK, and A2A on Google Cloud

Learn to build a comprehensive AI agent system using Google Cloud's cutting-edge tools and protocols in this 15-minute technical tutorial. Discover how to leverage the Model Context Protocol (MCP) to connect AI models to external resources, utilize the Agent Development Kit (ADK) to streamline agent creation, and implement the Agent2Agent (A2A) protocol for seamless inter-agent communication. Follow along as you set up your Google Cloud environment, enable necessary APIs, build and deploy an MCP server to Cloud Run, create an AI agent using ADK, expose it through A2A protocol, and test the complete system. Master the underlying architecture while constructing a fully functional AI agent system that demonstrates modern agent development practices on Google Cloud platform.

Syllabus

0:00 - Introduction
0:38- Understanding ADK, A2A, and MCP
2:02 - Setting up your Google Cloud environment
3:09 - Enabling Google Cloud APIs
5:04 - Building the MCP server for tools
6:57 - Deploying the MCP server to Cloud Run
8:42 - Creating your AI agent with ADK
10:21 - Exposing your agent via A2A
12:28 - Testing the A2A communication
13:29 - Cleaning up your Google Cloud project
14:02 - Conclusion: building with AI agents