Explore the powerful tools and protocols for AI agent development on Google Cloud. In this video, we dive into how to connect AI models to resources using Model Context Protocol (MCP), streamline agent creation with the Agent Development Kit (ADK), and enable seamless communication between agents with the Agent2Agent (A2A) protocol. By the end, you will have a working AI agent system, while understanding its underlying architecture. Resources: Getting Started with MCP, ADK and A2A → Build with Vertex AI: Deploy Agents with Agent Development Kit (ADK), MCP, and A2A → ADK samples GitHub → Chapters: 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 Subscribe to Google for Developers → Speaker: Julia Wiesinger Products Mentioned: Google AI, Agent Development Kit (ADK)