Spring Ai MCP Server

@rifatcakir

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基本信息

分类

AI 与智能体

传输方式

stdio

作者

rifatcakir

关于 Spring Ai MCP Server

AI-powered chat assistant for banking microservices using Spring AI and Model Context Protocol (MCP). Interact with your microservices through natural language chat, view accounts, personal details, and transactions—all in one unified interface.

#chat #spring-boot #spring-ai #model-context-protocol #mcp-server

Spring Ai MCP Server 配置

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代码仓库

Spring Ai MCP Server 工具

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概览

What is Spring Ai Mcp?

Spring Ai Mcp demonstrates how to implement a chat-based interface for communicating with microservices using Spring AI and the Model Context Protocol (MCP). The system allows users to interact with various microservices through natural language chat, making it easier to perform operations across different services.

How to use Spring Ai Mcp?

Clone the repository, build the project with mvn clean install, then start each microservice and the chat client in separate terminals using mvn spring-boot:run -pl <module-name>. Access the chat client application, type requests in natural language, and the system will parse, route, and execute the requested operations.

Key features of Spring Ai Mcp

Natural language processing for service interactions
Unified chat interface for all microservices
Real-time communication with multiple services
Seamless integration of new microservices

Use cases of Spring Ai Mcp

View personal details of a user via chat
Query accounts belonging to a person
View transactions for previously listed accounts with context maintained
Extend the system by adding new microservices implementing MCP

常见问题

What are the prerequisites for Spring Ai Mcp?

Java 21, Maven 3.8+, Spring Boot 3.5.0, and Spring AI 1.0.0.

How do I add a new microservice to Spring Ai Mcp?

Create a new module, implement the MCP protocol, add the module to the parent pom.xml, and update the chat client to handle the new service's operations.

What components make up Spring Ai Mcp?

The project contains: a chat-client (Spring Boot application providing the chat interface), and three microservices (person-mcp-service, account-mcp-service, transaction-mcp-service).

How does the system maintain context across interactions?

The chat client uses Spring AI to maintain context across multiple interactions, as demonstrated in sample chats where account context is reused for transaction queries.

What license is Spring Ai Mcp released under?

The project is licensed under the MIT License.

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