Overview
What is Spring Boot AI MCP Server?
Spring Boot AI MCP Server is a Spring Boot application that implements the Model-Controller-Presenter (MCP) architecture pattern for AI-powered applications. It provides a foundation for building AI-enhanced applications using Spring AI and OpenAI integration.
How to use Spring Boot AI MCP Server?
Configure your OpenAI API key in application.properties or as the environment variable OPENAI_API_KEY. Build the project with ./gradlew build and run it with ./gradlew bootRun. The server exposes a POST /api/v1/ai/generate endpoint that accepts a JSON body with a prompt field and returns an AI-generated response.
Key features of Spring Boot AI MCP Server
- Spring Boot 3.2.3 with Java 17
- Spring AI integration with OpenAI
- MCP architecture pattern (Model-Controller-Presenter)
- RESTful API endpoints for AI generation
- Exception handling and input validation
- Unit testing support
Use cases of Spring Boot AI MCP Server
- Generating AI‑powered responses from user prompts via a REST API
- Building a backend service that offloads AI inference to OpenAI
- Prototyping or learning MCP architecture with Spring AI
- Integrating AI capabilities into existing Spring Boot microservices
FAQ from Spring Boot AI MCP Server
What is the MCP architecture pattern implemented here?
MCP stands for Model-Controller-Presenter. The Model represents data and business logic, the Controller handles HTTP requests and responses, and the Presenter formats data for presentation.
What are the prerequisites to run this server?
You need Java 17 or higher, Gradle 8 or higher, and an OpenAI API key.
How do I configure my OpenAI API key?
Set spring.ai.openai.api-key in the application.properties file or provide it via the environment variable OPENAI_API_KEY.
How do I generate an AI response?
Send a POST request to /api/v1/ai/generate with a JSON body containing a prompt field. The server returns a JSON response with the generated content, success flag, and timestamp.
Does this server support other AI providers?
The README only specifies integration with OpenAI via Spring AI. No other providers are mentioned.