Devnexus 2026 - Integrating LLMs in Java A Practical Guide to Model Context Protocol - Dan Vega

This talk explores the challenges Java developers face in securely and efficiently integrating AI systems with enterprise data, services, and tools, as large language models transform application development. The speaker discusses the Model Context Protocol (MCP), which offers a standardized method for incorporating AI capabilities into Java applications while ensuring security, scalability, and operational control. Through practical demonstrations and live coding examples, the session covers setup and configuration, integration patterns, and connecting Java applications with MCP-compatible AI clients. Best practices for secure AI integration, strategies for managing enterprise data, and architectural patterns for enhancing existing Java applications with AI functionality are also examined, providing attendees with valuable insights and reusable approaches for implementing MCP in enterprise environments.