Building an AI-Powered MCP Server with Spring AI: Querying Product Data without APIs

What is Building an AI-Powered MCP Server with Spring AI: Querying Product Data without APIs?

This MCP server is built with Spring AI and Spring Boot to expose a Product table (with fields like name, code, quantity, and price) to AI assistants using the Model Context Protocol. It eliminates the need for custom REST APIs by enabling context-aware querying of product data through an AI chat client.

How to use Building an AI-Powered MCP Server with Spring AI: Querying Product Data without APIs?

Set up the server using Spring Initializr with the dependencies spring-boot-starter-data-jpa, spring-ai-starter-mcp-server-webflux, and postgresql. The corresponding client requires spring-ai-starter-mcp-client-webflux, spring-ai-starter-model-ollama, and spring-boot-starter-web. After configuration, an AI chat client can query the product data directly via the MCP protocol.

Key features of Building an AI-Powered MCP Server with Spring AI: Querying Product Data without APIs

• Exposes product data without custom API endpoints.
• Leverages Spring AI’s MCP support for AI agent interaction.
• Uses JPA and PostgreSQL for product storage.
• Integrates with an Ollama‑based AI chat client.
• Enables intuitive, context‑aware queries from AI assistants.

Use cases of Building an AI-Powered MCP Server with Spring AI: Querying Product Data without APIs

• Querying product details (name, code, quantity, price) via a chat interface.
• Allowing AI assistants to retrieve product inventory data without building a separate API.
• Demonstrating how to combine Spring AI, MCP, and a relational database for backend exposure.

FAQ from Building an AI-Powered MCP Server with Spring AI: Querying Product Data without APIs

What is the Model Context Protocol (MCP)?

MCP is a protocol that enables AI agents to interact directly with domain models, providing context‑aware data access without traditional REST APIs.

What runtime dependencies are required?

The server requires Spring Boot with spring-boot-starter-data-jpa, spring-ai-starter-mcp-server-webflux, and a PostgreSQL driver. The client needs spring-ai-starter-mcp-client-webflux, spring-ai-starter-model-ollama, and spring-boot-starter-web.

Where does the product data reside?

Product data is stored in a PostgreSQL database, accessed via JPA.

Is a dedicated API endpoint needed?

No – the MCP server eliminates the need for custom API endpoints by exposing the Product entity directly to AI chat clients.

What transport does the MCP server use?

The server uses WebFlux (reactive) transport, as indicated by the -webflux dependency suffix.