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