Spring Ai MCP Server Demo
A demonstration project of an MCP server based on Spring, providing book review functions
rating : 2 points
downloads : 8
What is the Spring AI MCP Server Demo?
This is a demonstration project based on the Spring framework that implements the MCP protocol and is specifically designed to provide book review services. It shows how to build a simple AI service interface.How to use this service?
You can access the book review function by building and running this service. After the service is started, it will provide an API interface for clients to call.Applicable scenarios
Suitable for application development that needs to integrate book review functions, or as an example project for learning the MCP protocol and Spring AI.Main features
Book review serviceProvides basic functions for getting and submitting book reviews
MCP protocol supportImplements the standard interface of the Model Context Protocol
Spring Boot integrationBased on the Spring Boot framework, easy to deploy and expand
Advantages and limitations
Advantages
Simple and easy to use, quick to get started
Based on the Spring ecosystem, strong scalability
Demonstrates the standard implementation of the MCP protocol
Limitations
The functions are relatively basic and only for demonstration purposes
Lacks advanced features such as user authentication
Uses an in-memory database for data storage, not suitable for production environments
How to use
Build the project
Build the project using Maven
Run the service
Start the Spring Boot application
Run in IDE (optional)
Run the main class directly in an IDE such as IntelliJ IDEA
Usage examples
Get book reviewsGet the review list of a specific book through the API interface
Submit a new reviewSubmit a new book review through the API
Frequently Asked Questions
What running environment does this service require?
How is the data stored?
How to expand this project?
Related resources
Spring official documentation
Official documentation of the Spring Boot framework
MCP protocol specification
Official specification of the Model Context Protocol
Project GitHub repository
Source code of this demonstration project
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
148
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
95
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
836
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
572
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
286
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
760
4.8 points