🚀 The future of AI integration is here, and it's called Model Context Protocol (MCP)! In this tutorial, I'll show you how to build your own MCP server using Spring AI - the same protocol powering ChatGPT's new apps SDK that reaches 800 million weekly users!

What You'll Learn:
Instead of building custom integrations for Claude, ChatGPT, and every new LLM separately, discover how MCP lets you build once and connect everywhere. This is the App Store moment for AI, and you can be part of it today.

📚 In This Tutorial:
• Setting up Spring AI with MCP server capabilities (version 1.1.0-M3)
• Creating tools that any AI can access and use
• Building a real-world MCP server from scratch
• Testing with MCP Inspector and connecting to Claude & ChatGPT
• Understanding transports: HTTP, SSE, and stdio configurations
• Live demo of DVaaS (Dan Vega as a Service) MCP server

Key Takeaways:
✅ Why MCP is becoming as important to AI as HTTP was to the internet
✅ How to leverage your existing Spring/Java skills for AI development
✅ Build infrastructure that ALL AI systems will depend on
✅ No new stack required - just your Java knowledge
✅ Real examples with YouTube API, blog posts, and podcast integration

**🔗 Resources:**
• Spring AI Documentation: https://start.spring.io/
• Model Context Protocol: https://modelcontextprotocol.io/
• MCP Inspector: https://modelcontextprotocol.io/docs/tools/inspector
• DVaaS: https://www.danvega.dev/mcp

**Timestamps:**
0:00 Introduction - Why MCP matters
2:28 Spring AI Setup & Configuration
7:10 Building Your First MCP Tool
11:09 Testing with MCP Inspector
14:26 Connecting to Claude AI
17:40 DVaaS Demo & Real-world Implementation
19:30 ChatGPT Integration

Join 4 million developers who are already building with AI! This isn't just another chatbot tutorial - you're building the infrastructure layer that will power the future of AI applications.

**👍 If you're ready to stop building basic chatbots and start building AI infrastructure, hit subscribe and let's build the future together!**

🔗Resources & Links mentioned in this video:

👋🏻Connect with me:
Website: https://www.danvega.dev
Twitter: https://twitter.com/therealdanvega
Github: https://github.com/danvega
LinkedIn: https://www.linkedin.com/in/danvega
Newsletter: https://www.danvega.dev/newsletter

SUBSCRIBE TO MY CHANNEL: http://bit.ly/2re4GH0 ❤️

Dan Vega

A walkthrough of building an MCP (Model Context Protocol) server using Spring AI 1.1.0 Milestone 3. Covers project setup via start.spring.io, configuring streamable HTTP transport, defining tools with the @McpTool annotation, and testing with the MCP Inspector. Demonstrates connecting the server to Claude and ChatGPT to answer questions using custom tools, including a real-world example that integrates the YouTube API and Transistor FM API.

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