S

Spring Ai MCP Server Example

This is a sample project of an MCP service based on Spring AI, which implements CRUD operations for personnel data using in-memory storage for demonstration and experimentation purposes.
2.5 points
9

What is Spring AI MCP Server?

This is a sample MCP server built on Spring Boot and Spring AI, mainly used to demonstrate how to implement basic Create, Read, Update, and Delete (CRUD) operations for personnel data. It uses in-memory storage to manage data, which is suitable for rapid prototype development and functional testing.

How to use Spring AI MCP Server?

You can build and run this server through simple Maven commands, and then use the provided tool commands to operate on personnel data.

Applicable scenarios

Suitable for development scenarios that require rapid prototyping, testing MCP server functions, or learning Spring AI integration.

Main features

Complete CRUD operationsProvide functions to create, read, update, and delete personnel records
Multiple filtering methodsSupport filtering personnel data by multiple conditions such as gender, age, and position
In-memory data storageUse in-memory storage for data, no additional database configuration is required

Advantages and limitations

Advantages
Quick to start and run, no complex configuration required
Lightweight, suitable for development and testing environments
Provide multiple data operation and filtering functions
Limitations
Data is only stored in memory and will be lost after restart
Relatively basic functions, not suitable for production environments
Lack of advanced query and pagination functions

How to use

Build the project
Build the project using Maven commands
Start the server
Run the generated jar file to start the MCP server
Configure the MCP client
Add the above server configuration to your MCP client configuration

Usage examples

Create a new personAdd a new personnel record to the system
Count the number of male employeesFilter out all male employee records
Find personnel in a specific positionSearch for employees with a specific position name

Frequently Asked Questions

Will the data be permanently saved?
How to expand more functions?
How many records are supported?

Related resources

Spring AI official documentation
The official documentation of the Spring AI project
GitHub repository
The source code repository of the project
MCP protocol introduction
A detailed introduction to the Model Context Protocol
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "cagritrk-inmemory-data-mcp-server": {
      "command": "java",
      "args": [
        "-jar",
        "<YOUR_PATH>\\spring-ai-mcp\\target\\spring-ai-mcp-0.0.1-SNAPSHOT.jar"
      ]
    }
  }
}
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