Spring AI MCP Server 示例项目

what is donts-MCP-Server-Demo? This project demonstrates how to implement a simple Model Context Protocol (MCP) Server using the Spring AI framework, featuring two functional modules: a calculator service and a weather query service. how to use donts-MCP-Server-Demo? To use the MCP Server, configure the application properties with your API key for the weather service, build the project using Maven, and then call the services through the MCP protocol with the appropriate parameters. key features of donts-MCP-Server-Demo? Calculator service that evaluates mathematical expressions. Weather query service that provides real-time weather information for specified cities. Integration with external APIs for enhanced functionality. use cases of donts-MCP-Server-Demo? Evaluating complex mathematical expressions. Retrieving current weather data for any city. Serving as a backend for applications requiring mathematical and weather data processing. FAQ from donts-MCP-Server-Demo? What programming language is used? The project is developed in Java. How do I configure the weather API? You need to set your API key in the application.properties file before running the server. Is there a limit on API calls? Yes, the weather API has a limit on free calls per day, which is sufficient for demo purposes.

As an MCP (Model Context Protocol) server, Spring AI MCP Server 示例项目 enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use the MCP Server, configure the application properties with your API key for the weather service, build the project using Maven, and then call the services through the MCP protocol with the appropriate parameters. key features of donts-MCP-Server-Demo? Calculator service that evaluates mathematical expressions. Weather query service that provides real-time weather information for specified cities. Integration with external APIs for enhanced functionality. use cases of donts-MCP-Server-Demo? Evaluating complex mathematical expressions. Retrieving current weather data for any city. Serving as a backend for applications requiring mathematical and weather data processing. FAQ from donts-MCP-Server-Demo? What programming language is used? The project is developed in Java. How do I configure the weather API? You need to set your API key in the application.properties file before running the server. Is there a limit on API calls? Yes, the weather API has a limit on free calls per day, which is sufficient for demo purposes.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.