Weather MCP Service

Weather MCP Service

A Model Control Protocol (MCP) based service that allows users to query weather forecasts by coordinates and receive weather alerts for U.S. states.

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README

Weather MCP Service

一个基于 Model Control Protocol (MCP) 的天气信息服务，提供天气预报和警报查询功能。

功能

  • 获取美国各州的天气警报（get_alerts）
  • 通过经纬度查询天气预报（get_forecast）

技术栈

  • Python 3.11+
  • MCP (Model Control Protocol)
  • FastMCP 服务器
  • LangGraph + LangChain
  • SSE (Server-Sent Events) 传输

安装

  1. 克隆仓库：

    git clone https://github.com/haichaozheng/weather-mcp.git
cd weather-mcp

  2. 创建虚拟环境：

    # 使用 Python 标准库
python -m venv weather_venv

# 激活虚拟环境（Windows）
weather_venv\Scripts\activate

# 激活虚拟环境（Linux/Mac）
source weather_venv/bin/activate

  3. 安装依赖：

    pip install -r requirements.txt

  4. 配置环境变量：

    • 创建 .env 文件，参考 .env.example 文件格式
    • 添加必要的 API 密钥

使用方法

  1. 启动 Weather 服务器：

    python weather/weather.py

    服务器将在 http://localhost:8000 上启动，使用 SSE 传输。

  2. 在另一个终端窗口中运行客户端：

    python weather/mcp_client.py

    客户端将连接到服务器并执行一系列天气查询测试。

API 功能

天气警报查询

get_alerts(state: str) -> str
  • state: 两字母美国州代码（例如：CA, NY）
  • 返回：该州的活跃天气警报列表

天气预报查询

get_forecast(latitude: float, longitude: float) -> str
  • latitude: 位置纬度
  • longitude: 位置经度
  • 返回：该位置的天气预报

项目结构

weather-mcp/ ├── weather/ │ ├── weather.py # 主服务器文件 │ ├── mcp_client.py # 客户端测试文件 ├── requirements.txt # 项目依赖 ├── .env.example # 环境变量示例 └── README.md # 本文档


## 环境变量配置

项目使用 `.env` 文件存储环境变量和敏感信息。请按照以下步骤设置：

1. 复制环境变量模板文件：
   ```bash
   cp .env.example .env

  1. 编辑 .env 文件，填入您的实际配置：

    MOONSHOT_API_KEY=your_actual_api_key

  2. 确保 .env 文件不会被提交到版本控制系统中

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