Christian Tzolov

This talk demonstrates the journey from basic LLM integration to building capable AI agents using Spring AI and the Model Context Protocol (MCP). MCP standardizes how AI models interact with external tools and resources through a structured client-server architecture.

Today's intelligent AI applications can understand context, guide decisions, and integrate seamlessly with external services. Through live coding and practical examples, I will illustrate how to implement both client and server components.

We will explore MCP's core capabilities and demonstrate how the Spring AI MCP can integrate AI into your existing Java applications. You'll learn to build server MCP features (tools, resources, prompts) and use client capabilities (sampling, elicitation).

Whether you're developing new AI-driven solutions or enhancing existing systems, this talk will equip you with the tools and strategies needed to leverage MCP effectively.