The Model Context Protocol (MCP) standardizes how AI models interact with external tools and resources through a structured client-server architecture, facilitating robust agent development. The engineering community worldwide keeps sharing MCP servers that enable client interactions that open truly remarkable and innovative applications.
This talk delves into MCP's core capabilities and how the MCP Java SDK combined with Spring AI MCP can integrate AI with your existing resources and applications.
Today's intelligent agents can understand context, guide decisions, and integrate seamlessly with external services. Through live coding and practical examples, we will illustrate how to implement both client and server components. By attending this session, you will gain a practical understanding of MCP's standardized interfaces and architectural best practices, empowering you to build and extend AI-powered applications with agent-like capabilities.
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.
