Mcp Server Weather

What is Mcp Server Weather

mcp-server-weather is an MCP server that provides real-time weather information using the He Feng Weather API, implemented in Java.

Use cases

Use cases include querying current weather conditions for specific locations, integrating weather data into applications, and enhancing AI assistants with real-time weather information.

How to use

To use mcp-server-weather, download the project locally, package it to generate a JAR file using Maven, and run it with the appropriate command including your API key.

Key features

Key features include the ability to fetch real-time weather data through the ‘getWeather’ tool, and integration with LangChain4J for advanced AI functionalities.

Where to use

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MCP Server Weather

基于和风天气API的一个获取实时天气的MCP服务端，使用Java来实现。和风天气API文档：https://dev.qweather.com/docs/api/weather/weather-now/

可用的工具列表

• 获取实时天气 getWeather

使用方法

1. 下载项目到本地
2. 打包项目，生成jar包 mvn clean package -Dmaven.test.skip=true

Claude使用方法：

{
  "mcpServers": {
    "mcp-server-weather": {
      "command": "java",
      "args": [
        "-Dspring.ai.mcp.server.stdio=true",
        "-jar",
        "你的jar包路径",
        "--weather.api.api-key=YOUR API KEY"
      ]
    }
  }
}

LangChain4J使用方法：

引入依赖：

     <dependency>
        <groupId>dev.langchain4j</groupId>
        <artifactId>langchain4j</artifactId>
    </dependency>
    <dependency>
        <groupId>dev.langchain4j</groupId>
        <artifactId>langchain4j-open-ai</artifactId>
    </dependency>
    <dependency>
        <groupId>dev.langchain4j</groupId>
        <artifactId>langchain4j-mcp</artifactId>
    </dependency>

    /**
     * 阿里云的模型
     *
     * @return
     */
    @Bean
    public ChatLanguageModel chatLanguageModel() {
        return OpenAiChatModel.builder()
                .apiKey(System.getenv("AI_DASHSCOPE_API_KEY"))
                .modelName("qwen-turbo")
                .logRequests(true)
                .logResponses(true)
                .baseUrl("https://dashscope.aliyuncs.com/compatible-mode/v1")
                .build();
    }
    /**
     * 初始化MCP Client
     */
    @Bean
    public McpClient mcpClientWeather() {
        return new DefaultMcpClient.Builder()
                .transport(new StdioMcpTransport.Builder()
                        .command(List.of(
                                "java",
                                "-Dspring.ai.mcp.server.stdio=true", 
                                "-jar", 
                                "mcp-server-weather-0.0.1-SNAPSHOT.jar", 
                                "--weather.api.api-key=%s".formatted(System.getenv("HEFENG_WEATHER_API_KEY"))))
                        .logEvents(true) // only if you want to see the traffic in the log
                        .build())
                .build();
    }

    /**
     * 使用LangChain4J的高级API来构建一个AI助手，注入MCP Client
     * @param mcpClientWeather
     * @return
     */
    @Bean
    public AiAssistant aiAssistant(McpClient mcpClientWeather) {
        ToolProvider toolProvider = McpToolProvider.builder()
                .mcpClients(List.of(mcpClientWeather))
                .build();
        return AiServices.builder(AiAssistant.class)
                .chatLanguageModel(chatLanguageModel())
                .chatMemory(MessageWindowChatMemory.withMaxMessages(10))
                .toolProvider(toolProvider)
                .build();
    }

    @Test
    public void testWeather1(){
        System.out.println(aiAssistant.chat("今天重庆的天气怎么样？"));
        /**
         * AI回复以下内容：
         * 
         *
         * 今天重庆的天气情况如下：
         - 天气状况：阴
         - 气温：18℃
         - 体感温度：16℃
         - 风向：东风
         - 风力：2级
         - 湿度：47%
         - 降水量：0.0mm
         - 空气压力：980hPa
         - 能见度：9km
         - 云量：91% 
         */
    }