Overview
This tutorial demonstrates how to create a custom Model Context Protocol (MCP) server in under 15 minutes using Spring AI. Learn the complete process of building a server from scratch that can integrate with Claude Desktop or other MCP clients. Follow along to set up a Spring Boot application with MCP capabilities, create custom tools accessible by AI models, configure your application for MCP integration, and connect your server to Claude Desktop. The video covers Spring AI documentation overview, setting up a new Spring Boot application, implementing a Course Service, defining MCP tools with annotations, configuring application properties, building and packaging the server, installation in Claude Desktop, testing the integration, and exploring practical implementation ideas. Perfect for developers wanting to extend AI applications, create custom tool integrations, or experiment with the MCP ecosystem.
Syllabus
00:00 - Introduction to building MCP servers
02:14 - Spring AI documentation overview
04:35 - Setting up a new Spring Boot application
07:20 - Creating our Course Service implementation
10:05 - Defining MCP tools with annotations
12:40 - Configuring the application properties
14:15 - Building and packaging our server
15:30 - Installing the server in Claude Desktop
17:45 - Testing our custom MCP integration
20:15 - Ideas for practical MCP server implementations
22:30 - Conclusion and next steps
Taught by
Dan Vega