Building AI Agents with Model Context Protocol: From Specification to Implementation
Conference (INTERMEDIATE level)
Zaal 9
The Model Context Protocol (MCP) introduces a powerful approach for AI agent development by standardizing how AI models interact with external tools and resources.
This talk explores MCP's architecture, diving deep into its core capabilities: tool discovery and execution, resource management with URI templates, and dynamic prompt handling.
We'll examine how Spring AI MCP - Java MCP SDK, implementation transforms these specifications into practical agent capabilities, demonstrating how to evolve traditional AI applications into full-fledged agents that can interact with external systems, manage resources, and handle complex workflows through standardized interfaces.
Through live coding examples, we will learn how to combine the Spring AI framework with MCP to create agents that can effectively understand context, make decisions, and take actions across various external systems.
This talk explores MCP's architecture, diving deep into its core capabilities: tool discovery and execution, resource management with URI templates, and dynamic prompt handling.
We'll examine how Spring AI MCP - Java MCP SDK, implementation transforms these specifications into practical agent capabilities, demonstrating how to evolve traditional AI applications into full-fledged agents that can interact with external systems, manage resources, and handle complex workflows through standardized interfaces.
Through live coding examples, we will learn how to combine the Spring AI framework with MCP to create agents that can effectively understand context, make decisions, and take actions across various external systems.
Christian Tzolov
Broadcom
Christian Tzolov is a R&D Software Engineer at the Spring Framework team in Broadcom
Lead for the Spring AI and Spring AI MCP projects, contributor to various Spring and ASF projects including Spring Integration, Spring Cloud DataFlow.
His work focuses on system integrations, distributed data processing, data engineering and AI.
Lead for the Spring AI and Spring AI MCP projects, contributor to various Spring and ASF projects including Spring Integration, Spring Cloud DataFlow.
His work focuses on system integrations, distributed data processing, data engineering and AI.