Model Context Protocol (MCP) for Spring Boot Developers

Name: Model Context Protocol (MCP) for Spring Boot Developers
Rating: 4.3 (15 reviews)

From REST APIs to AI Integration - MCP Implementation Guide with tool calling

Created byPritesh Mistry

Last updated 6/2025

English

English [Auto],

What you'll learn

Build and configure MCP servers using Spring Boot framework with proper dependency injection, auto-configuration
: Implement secure authentication and authorization mechanisms for MCP communications using Spring Security
Integrate MCP protocol with Spring Data JPA repositories and business services to enable AI models to perform database operations,
Deploy and test production-ready MCP servers with proper error handling

Course content

7 sections • 26 lectures • 1h 51m total length

Introduction0:30
Explore the model context protocol (MCP) for Spring Boot developers, presenting its basic to advanced concepts with practical applications and examples built on Spring Boot.
What is MCP ?0:46
Model context protocol enables AI to securely connect with databases, file systems, and external APIs, acting as a universal translator for AI tool integration and external resources.
Problem Statement0:53
Understand the problem statement before MCP by showing how external tool integrations suffer from fragmentation, custom code, and security inconsistencies, and how MCP standardizes connections for seamless, secure integration.
MCP Architecture1:02
Understand the MCP architecture, where a host, a client, and servers enable a 1-to-1 connection and provide tools, resources, and prompts to clients, ensuring secure communication.
Prerequisite0:17
Identify the basic prerequisites for this course, including an LLM subscription, and learn to set up OpenAI with spring AI examples.

Sign up With Open AI0:59
Learn how to sign up for an OpenAI account, including choosing login or sign up, entering your email or linking a Google account, and completing the setup.
Billing Information1:09
Set up and validate your OpenAI billing by adding a payment method in the billing section, selecting individual or organization, and confirming an initial balance, with a demo-friendly $10 option.
Generating API Keys0:58
Generate a new secret API key from the dashboard after adding billing, then use it in a Spring Boot app to access and chat with the open API provider.

Chat client Application Flow2:31
See how a spring boot app mediates between browser or rest client and an llm provider, with a chat client processing prompts and authenticating via the spring ai api key.
Spring AI Quickstart Example7:45
Build a simple chat application with Spring Boot, using the web and OpenAI libraries. Configure the OpenAI API key via environment variables and implement a chat service and REST controller.
Message and Message Type6:30
Explore the four abstract message implementations in Spring, including system, user, assistant, and tool messages, and learn how message type enums drive chat workflows and function calls.
Message Type example1:49
Describe how system and user message prompts and roles guide conversational agents, with examples covering content generation, code completion, translation, text summarization, and educational tutoring.
Default System Message Example4:51
Configure a Spring Boot chat client by creating a config bean with a default system message like 'you are educational tutor', and route user prompts to the assistant.
Default Sysmtem Message using Resource and multiline String3:02
Learn how to use a resource and multiline string for default system messages in Spring Boot, including loading input.txt from the classpath and testing via Postman.

MCP Getting started0:22
Explore quickstart MCP examples, starting with the cloud desktop client without using spring, then the MCP server with spring, then the MCP client with spring, plus other MCP examples.
MCP basic setup and example7:46
Set up a basic MCP client with cloud desktop, install node/npm if needed, and run a simple MCP file system server to create a sample json with id, name, salary.
Custom MCP Server using Spring AI10:09
Build a custom MCP server with Spring Boot, exposing methods to list all books and filter by author using tool annotations, in-memory data, and a simple MCP registration config.
Custom MCP Client using Spring AI7:32
Build a custom MCP client with Spring AI, wire an OpenAI chat, configure the MCP server, and call tool callbacks to fetch books by author.
MCP Assignment0:31
Create a flight booking system with a macp server talking to API endpoints, a macp client, and a node react app featuring a chatbot and a table for flight booking.
MCP Assignment Solution16:36
Learn to build a complete MCP server and client for flight bookings, implementing CRUD operations, tool callbacks, and a UI that talks to the MCP API via a Next.js/React frontend.
Spring MVC based SSE transport implementation5:49
A Spring MVC based AMQP server web MVC with SSH transport under the model context protocol (MCP). Run a server and client to fetch bookings.
Dynamic Tool Updates in MCP3:29
The lecture demonstrates dynamically updating MCP tools at runtime by adding a new hotel booking tool without restarting servers, and the client reflects changes automatically.

Requirements

basic knowledge of java and spring boot

Description

Transform your Spring Boot applications into AI-powered enterprise solutions with this comprehensive course on Model Context Protocol (MCP) integration. As AI becomes central to business operations, developers who can bridge traditional applications with AI models are in unprecedented demand.

This hands-on course teaches you to build production-ready MCP servers using Spring Boot's robust framework. You'll master creating secure, scalable integrations that allow AI models to interact directly with your databases, business logic, and external APIs through natural language commands.

What You'll Learn:

Build MCP servers from scratch using Spring Boot architecture
Implement enterprise-grade security with Spring Security integration
Connect AI models to JPA repositories and business services
Deploy scalable MCP solutions with proper monitoring and error handling
Create real-world projects including database management and API integration systems

Perfect for: Spring Boot developers, enterprise architects, and software engineers looking to specialize in AI integration. Basic Spring Boot knowledge required.
Why This Matters: Companies are actively seeking developers who can implement AI solutions within existing enterprise frameworks. MCP with Spring Boot represents the future of intelligent business applications.
By course completion, you'll confidently build AI-integrated applications that transform how businesses interact with their systems, positioning yourself at the forefront of the AI revolution in enterprise development

Who this course is for:

Beginner for AI who are spring boot developers

Model Context Protocol (MCP) for Spring Boot Developers

What you'll learn

Explore related topics

Course content

Introduction5 lectures • 3min

Open AI Setup3 lectures • 3min

Spring AI Quickstart Examples6 lectures • 26min

MCP Getting start8 lectures • 52min

Authentication in MCP1 lecture • 9min

Other MCP Servers2 lectures • 17min

Thank You1 lecture • 1min

Requirements

Description

Who this course is for: