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Explore the Model Context Protocol (MCP) in this 52-minute conference talk that demonstrates how to build robust AI applications that interact meaningfully with real-world systems. Learn about MCP's standardized client-server architecture that enables AI models to connect with external tools and resources, moving beyond simple API calls to create truly intelligent applications. Discover the core capabilities of MCP and see how the MCP Java SDK integrates with Spring AI to enhance existing applications. Master building server features including tools, resources, and prompts, while understanding client capabilities such as sampling and elicitation. Examine various transport methods including local, SSE, and streamable-HTTP options, along with essential utilities for progress tracking and logging. Through live coding demonstrations and practical examples, gain hands-on experience implementing both client and server components of MCP-powered applications. Understand how modern AI applications can comprehend context, guide decision-making processes, and integrate seamlessly with external services to achieve agent-like capabilities. Whether developing new AI-driven solutions or enhancing existing systems, acquire the practical knowledge and architectural best practices needed to leverage MCP effectively in building intelligent, context-aware applications.
