Weather MCP Server

@devlibx

代码仓库

基本信息

分类

媒体与设计

传输方式

stdio

作者

devlibx

关于 Weather MCP Server

暂无概览

#weather #mcp-server #spring-boot

Weather MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "experiment-java-mcp-server": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}

Weather MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Weather MCP Server?

Weather MCP Server is a Spring Boot application that exposes mock weather data through the Model Context Protocol (MCP). It provides a getWeather tool that AI assistants can call to retrieve current weather information for any location, using realistic simulated parameters.

How to use Weather MCP Server?

Clone the repository, build with mvn clean install, and run with mvn spring-boot:run. The server listens on port 8080 by default. To integrate with AI assistants in IDEs like Cursor or Cline, configure the SSE endpoint http://localhost:8089/sse in the MCP settings (ensure the port matches your application.properties). Use the MCP Inspector (npx @modelcontextprotocol/inspector) to test the getWeather tool.

Key features of Weather MCP Server

Retrieves current weather for any specified location
Generates realistic mock weather data (temperature, condition, humidity, wind speed)
MCP integration for AI assistant compatibility
Easy setup with Spring Boot and Maven

Use cases of Weather MCP Server

AI assistants answering weather queries during conversations
Testing MCP server integration in IDEs and development tools
Demonstrating Spring AI’s MCP server capabilities with a simple tool

常见问题

What does this server do?

It provides a mock weather service that AI assistants can call through MCP to get weather data for a given location.

How do I integrate it with an AI assistant in my IDE?

In your IDE’s MCP settings, add a new server with the SSE endpoint `http://localhost:8089/sse` (or the port configured in `application.properties`), then restart the assistant.

Can I use this server with real weather data?

No – the server uses mock data only, with realistic but simulated weather parameters. It is designed for demonstration and testing.

What are the runtime requirements?

Java 17 or higher, Maven 3.6+, and Spring Boot 3.2.0. Node.js and npm are needed only for the optional MCP Inspector.

How can I test the server without an AI assistant?

Run the MCP Inspector (`npx @modelcontextprotocol/inspector`), connect to the SSE endpoint (default `http://localhost:8080/mcp/sse`), and test the `getWeather` tool with a location parameter.

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