As AI evolves from reactive tools to proactive agents, traditional stateless API architectures fall short in delivering meaningful, persistent interactions.

In this talk, we explore how extending a Spring Boot–based microservice with the Model Context Protocol (MCP) unlocks the next generation of context-aware, agentic AI systems. By integrating MCP, your backend offers the ability to maintain, retrieve, and reason over structured data - enabling AI models to develop long-term understanding, personalize behavior, and act with greater autonomy. We’ll dive into practical strategies for embedding contextual memory into your existing architecture, showcase real-world use cases, and demonstrate how Spring Boot’s flexibility makes it an ideal foundation for relational, intelligent systems.

Join me in my live-coding session to learn how to move beyond stateless APIs and architect a backend that supports AI capable of evolving relationships, not just processing requests.