Building AI Agents with Model Context Protocol on Google Cloud: A Complete Developer Guide

This developer guide explains how to build production-ready AI agents on Google Cloud using the Model Context Protocol (MCP). It details an architecture where Gemini models or the Google Agent Development Kit (ADK) act as MCP clients to interact with external tools and services like Gmail and Slack. The tutorial presents two primary methods: a direct approach with Gemini's function calling and a more complex one for multi-agent systems using ADK. Code examples demonstrate setting up the environment, creating an MCP server, and implementing an agent loop that handles multi-step reasoning and tool calls.