About this talk
This talk explores how the Model Context Protocol (MCP) provides a practical integration method for existing Java systems to engage with large language models in AI-driven workflows. The speaker discusses transforming legacy Java applications into AI-enabled agents using MCP, detailing patterns for service exposure, tool calls, and response streaming. Additionally, the session covers strategies for managing AI-driven actions in production settings, emphasizing operational stability and governance. Audience members gain valuable insights into incorporating AI capabilities into Java applications while ensuring reliability and maintainability crucial for enterprise systems.
More from this event
See all 30 talks →
Devnexus 2026 - Agents, Tools, and Mcp, Oh My! Next Level AI Concepts for Developers - Jennifer Reif
53:03
Devnexus 2026 - Architecting Microservices for Agentic AI Integration - Rohit Bhardwaj
59:24
Devnexus 2026 - Building AI Agents with Spring & MCP - Josh Long & James Ward
48:54
Devnexus 2026 - Integrating LLMs in Java A Practical Guide to Model Context Protocol - Dan Vega
56:54