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Spring AI + MCP: Building the Missing Bridge Between Java Apps and AI Agents
The Model Context Protocol (MCP) is rapidly becoming the standard for connecting AI agents to external tools, APIs, and data sources. For Java developers, this creates an opportunity to safely and seamlessly expose existing Spring Boot applications to AI systems. In this session, you will learn how Spring AI enables teams to both integrate with existing MCP servers and build new ones that expose business logic and services to AI assistants.
Through practical examples, the session demonstrates how to define tools, register them, and wire them into Spring Boot applications to create intelligent, AI-enabled systems. Attendees will see how familiar Spring patterns translate into AI-ready architectures, bridging the gap between enterprise Java and modern AI ecosystems.
What You Will Learn
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How to integrate Spring Boot applications with existing MCP servers
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How to build custom MCP servers that expose business logic to AI agents
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Practical examples of turning standard Spring applications into AI-powered systems
Who Should Attend
Java developers, Spring engineers, and software architects interested in connecting enterprise applications to AI agents using Spring AI and MCP.
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About the speaker
Siva Katamreddy
Author & Developer Advocate, JetBrains
Siva works as a Developer Advocate at JetBrains with 18+ years of experience in building scalable distributed enterprise applications. He has strong hands-on experience in building Cloud Native applications using various technologies including Java, Kotlin, Spring Boot, Spring Cloud, SQL/NoSQL databases.
He is the author of Beginning Spring Boot 3 (Apress), PrimeFaces Beginners Guide (PacktPub), and Java Persistence with MyBatis 3 books. He shares his knowledge on his blog - https://sivalabs.in and his YouTube channel - https://www.youtube.com/sivalabs.
