Spring AI Example MCP Server

What is Spring AI Example?

This project demonstrates implementation patterns and best practices for using Spring AI tools, integrating with the Model Context Protocol (MCP) through a server module (with WebFlux and WebMvc SSE support) and a client module for building AI-powered proposals. It is designed for developers working with Spring AI, MCP, and large language models.

How to use Spring AI Example?

Clone the repository and run the Spring Boot application. Configure the Ollama AI model, PGVector vector store, and H2 database in the application properties. The mcp-server module can be invoked via SSE endpoints, while the proposal-agent module acts as an MCP client.

Key features of Spring AI Example

• Methods as tools via @Tool annotation
• Custom tool result converters
• Tool context injection in methods
• Tool parameter descriptions with @ToolParam
• MCP server with SSE support
• MCP client for AI proposal generation

Use cases of Spring AI Example

• Building chatbots that retrieve current date/time or customer information
• Creating proposal generation systems with tool-based data access
• Demonstrating Spring AI tool patterns in an MCP architecture
• Testing real-time SSE updates from MCP servers