How to Build a Multi-Agent System Using ADK and MCP | Alpha | PandaiTech

How to Build a Multi-Agent System Using ADK and MCP

Scale your AI agent's capabilities by building a multi-agent system. This tutorial demonstrates how to integrate external agents (such as a calendar agent) as tools using MCP (Multi-agent Communication Protocol) and how to build an orchestrator to manage tasks.

Learning Timeline
Key Insights

Pro Tip: Reuse Existing Agents

A key advantage of ADK is its ability to integrate with any agent using MCP. This allows you to easily turn external MCP servers into 'tools' for your system without having to rebuild them from scratch.

The Importance of the 'Orchestrator'

In a multi-agent system, the 'orchestrator' acts as a manager. It receives your requests and intelligently determines which agent ('birthday planner' or 'calendar') is best suited to handle each part of the task.

Visualization with the Web UI

Use the web UI provided by ADK to monitor interactions between your agents. It gives you a visual look at what's happening 'behind the scenes,' making it much easier to debug and understand your system's workflow.
Prompts

Sample Prompt for an Orchestrator Agent

Target: Multi-Agent System
I need some ideas for a space-themed birthday party for a 10-year-old. After you give me the ideas, please block out 2 hours on my calendar for 'Party Prep' this Saturday afternoon.
Step by Step

Building a Multi-Agent System with ADK and MCP

  1. Prepare your individual agents. For example, one agent for birthday party planning and another for managing a calendar.
  2. Ensure your external agents (e.g., calendar agent) are accessible via an MCP (Multi-agent Communication Protocol) server.
  3. Create a primary agent to act as the 'orchestrator'. This agent will manage and route tasks to the appropriate specialized agents.
  4. Within your ADK project, integrate the agent from the MCP server as a 'tool'. ADK will convert that server into a usable 'tool' for other agents.
  5. Register all individual agents (e.g., 'birthday planner' and 'calendar tool') as 'tools' within your 'orchestrator agent'.
  6. Run your multi-agent system using the relevant command in the terminal.
  7. Open the provided web UI to start interacting and debugging. Here, you can select your 'orchestrator agent' and begin assigning tasks.

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