Build AI's Future - Model Context Protocol (MCP) with Spring AI in Minutes

Learn to build a Model Context Protocol (MCP) server using Spring AI in this comprehensive tutorial that demonstrates how to create AI infrastructure that works across multiple platforms like ChatGPT and Claude. Discover why MCP represents the "App Store moment" for AI development, allowing you to build once and connect everywhere instead of creating separate integrations for each LLM. Set up Spring AI with MCP server capabilities using version 1.1.0-M3, create tools that any AI system can access, and build a real-world MCP server from scratch. Explore different transport configurations including HTTP, SSE, and stdio while testing your implementation with MCP Inspector and connecting to major AI platforms. Follow along with a live demonstration of DVaaS (Dan Vega as a Service) MCP server that integrates YouTube API, blog posts, and podcast content. Master the fundamentals of why MCP is becoming as crucial to AI as HTTP was to the internet, leverage your existing Spring and Java skills for AI development, and build infrastructure that all AI systems will depend on without requiring a new technology stack.