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README.md
# 天气查询 MCP 服务

基于 Node.js 的 MCP (Model Context Protocol) 服务,提供中国城市天气查询功能。

## 功能特性

- **query_weather**: 查询城市实时天气信息
- **get_weather_details**: 获取详细天气信息,包括未来几天预报

## 快速安装

### 方式一:使用 npx(推荐)

```json
{
  "mcpServers": {
    "weather": {
      "command": "npx",
      "args": ["-y", "juweather-mcp-server"],
      "env": {
        "JUHE_WEATHER_API_KEY": "你的API_KEY"
      }
    }
  }
}
```

### 方式二:从 GitHub 安装

```bash
# 克隆仓库
git clone https://github.com/jaron2026/weather.git
cd weather

# 安装依赖
npm install
```

然后在 Claude Desktop/Cursor 配置:

```json
{
  "mcpServers": {
    "weather": {
      "command": "node",
      "args": ["你的本地路径/index.js"],
      "env": {
        "JUHE_WEATHER_API_KEY": "你的API_KEY"
      }
    }
  }
}
```

## 配置 API Key

1. 访问 [聚合数据官网](https://www.juhe.cn/docs/api/id/39) 注册账号
2. 在个人中心获取 API Key(免费)
3. 将 API Key 填入配置文件的 `JUHE_WEATHER_API_KEY`

## 使用示例

```
帮我查一下苏州今天的天气
北京未来几天的天气预报
深圳现在温度多少
```

## 数据来源

使用 [聚合数据](https://www.juhe.cn/docs/api/id/39) 的免费天气 API。

## 开发

```bash
# 克隆项目
git clone https://github.com/jaron2026/weather.git
cd weather

# 安装依赖
npm install

# 调试
npm run inspect
```

## 项目结构

```
weather/
├── index.js           # MCP 服务主文件
├── package.json       # 项目配置
├── .env.example       # 环境变量示例
├── .gitignore         # Git 忽略文件
└── README.md          # 项目文档
```

## 许可证

MIT

TDQS

B3.4/5.0

Scored across 2 tools

Disambiguation4/5

query_weather focuses on current real-time conditions while get_weather_details offers more comprehensive information with forecast data. There is some overlap because both retrieve weather, but the descriptions provide enough distinction.

Naming Consistency4/5

Both names use a verb_noun pattern and are readable, but the mix of 'query' and 'get' is a slight inconsistency in retrieval verb choice.

Tool Count3/5

Two tools is a thin surface for a weather server, but it still covers the two core needs: current conditions and forecasts. This is borderline rather than clearly excessive or inadequate.

Completeness4/5

Real-time weather and multi-day forecast cover the most common weather information needs for Chinese cities. Missing features like alerts or historical data are minor gaps rather than causes of failure.

Maintenance

ActivityInactive
ResponsivenessNo issues