About Weather
Weather is an MCP server published by yestarz in the Maps category: mCP server: Weather.
The repository has 26 stars and 6 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/yestarz/mcp-server-weatherThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about Weather
Powered by Claude · Grounded in docs
Security checks
Static checks derived from the repository 9 hours ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- !License declaredNo license file. Legally you have no right to use it in a product.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- !Dependencies pinnedNo lockfile. Installs can pull different code over time.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
README
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
- 下载项目到本地
- 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%
*/
}
README fetched from the repository 9 hours ago. The original is authoritative.