Building AI-Powered Applications with Spring AI and Model Context Protocol

What is the Project?

This project is a proof of concept demonstrating how to build AI-powered applications using Spring AI and the Model Context Protocol (MCP). It showcases a server-hosted MCP client and server solution for natural language interaction.

How to Use the Project?

To use the project, start the MCP server and client applications, then access the chat interface through a web browser. Users can interact with the AI by sending messages, which may trigger the use of specialized data analysis tools.

Key Features of the Project?

• MCP Server: Exposes data analysis tools like analyzeData, analyzeDataWithUpdates, and monitorDataSource.
• MCP Client: Provides a chat interface for user interaction with the AI model (Anthropic Claude).
• Tool Calling: Allows the AI to call external tools based on user queries.

Use Cases of the Project?

1. Analyzing datasets through user queries.
2. Monitoring data sources in real-time.
3. Providing AI-driven insights based on user interactions.

FAQ from the Project?

• What technologies are used?

The project uses Spring Boot for the server and React for the client interface.

• How do I run the project?

Follow the provided instructions to start the MCP server and client applications using Maven and Node.js.

• What is the Model Context Protocol?

MCP allows AI applications to access and utilize specialized tools and services in a standardized way.