Sessions

Spring AI Masterclass: Building Effective Agents and Exploring Model Context Protocol (MCP) [Workshop]

Mark Pollack - Broadcom

AI agents are transforming how tasks are automated, enabling systems to dynamically adapt and make intelligent decisions. This workshop covers two key areas: building effective agents with Spring AI using simple, composable patterns, and a deep dive into the Model Context Protocol (MCP) — an open standard that enhances AI applications with structured context, tools, and memory. Bring your laptop for hands-on coding and explore the full spectrum of Spring AI’s capabilities.

Topics Covered:

Building Effective Agents with Spring AI:

• Agent workflows: Chains, Orchestrators, Evaluators, Parallelization, and Routing.
• Designing modular and scalable AI systems using Spring AI’s building blocks.

Model Context Protocol (MCP):

• MCP fundamentals: prompts, tools, memory, and context management.
• Integrating MCP with Spring AI for enhanced flexibility and control.
• Leveraging MCP to manage multiple LLMs, multimodal inputs, and external APIs.

Hands-On Exercises:

• Implementing agent workflows with Spring AI.
• Building MCP-powered applications, focusing on prompts, tools, and context.

This workshop ensures you gain practical experience and a deep understanding of building AI agents and harnessing the full power of MCP in your Spring applications.