Spring AI MCP Server

Example Use Cases

• 1

  Serve AI-powered proposals via MCP protocol.

• 2

  Real-time updates using Server-Sent Events (SSE).

• 3

  Integration with Ollama AI models and vector stores.

Description

This project demonstrates best practices for implementing the Model Context Protocol (MCP) server using Spring AI tools. It supports both WebFlux and WebMvc SSE for real-time event streaming and includes a client module for AI-powered proposal generation. The server integrates with Ollama AI models, uses PGVector for vector storage, and H2 for development, enabling scalable and interactive AI applications.