Building Modular AI Agents with Google ADK and MCP

Introduction

The world of AI is rapidly evolving from monolithic large language models to modular, task-oriented agent ecosystems. In this blog, we’ll explore how to use Google’s Agent Development Kit (ADK) together with the Model Context Protocol (MCP) to build intelligent, pluggable, and collaborative AI agents.

We’ll walk through:

• What ADK and MCP are
• How to wire them together
• A demo where agents collaborate using external tools
• Why this modular approach represents the future of AI development

What is Google ADK?

Google’s ADK provides a framework for building and orchestrating AI agents that follow the Agent-to-Agent (A2A) communication model. Instead of a single LLM handling everything, ADK enables the creation of multiple specialized agents, such as:

• PlannerAgent: breaks down the task
• ToolAgent: fetches or processes data
• WriterAgent: crafts the final response
• ReviewerAgent: refines the output

Each agent is implemented as a standalone service or function, capable of handling its role within a larger collaborative flow.

What is MCP (Model Context Protocol)?