What are the prerequisites for Spring Ai Mcp?
Java 21, Maven 3.8+, Spring Boot 3.5.0, and Spring AI 1.0.0.
@rifatcakir
Basic information
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.
No standard config provided
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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.
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.
Java 21, Maven 3.8+, Spring Boot 3.5.0, and Spring AI 1.0.0.
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.
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).
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.
The project is licensed under the MIT License.

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