flowchart LR
    U(["👤 使用者"]) -->|"問：中山區會下雨嗎？"| C["Claude 桌面版<br/>(MCP Host)"]
    C -->|"回答"| U
    C <-->|"MCP 協定 / stdio"| S

    subgraph S ["weather-taipei MCP Server"]
        direction TB
        T1["get_zhongshan_weather<br/>中山區天氣"]
        T2["get_weather_by_city<br/>各縣市天氣"]
        T3["get_weather_by_coords<br/>經緯度天氣"]
        T4["get_hourly_rain<br/>逐小時降雨"]
    end

    S -->|"HTTPS 查詢"| A[("🌤️ Open-Meteo API")]
    A -->|"天氣 JSON"| S

📍 台北市中山區 目前天氣（2026-07-05T16:00）
天氣狀況：毛毛雨（中）
溫度：31.8°C（體感 37.5°C）
相對濕度：63%
降雨量：0.2 mm
風速：1.7 km/h

未來 3 天預報：
  2026-07-05：毛毛雨（中），26.7~33.3°C，降雨機率 99%
  2026-07-06：毛毛雨（中），25.9~34.1°C，降雨機率 69%
  2026-07-07：雷雨，25.1~32.8°C，降雨機率 97%

📍 台北市中山區 未來 6 小時逐小時降雨
  17:00　0.1 mm　降雨機率 98%  ☔
  18:00　0.1 mm　降雨機率 90%  ☔
  19:00　0.0 mm　降雨機率 77%
  20:00　0.1 mm　降雨機率 63%  ☔
  21:00　0.0 mm　降雨機率 48%
  22:00　0.0 mm　降雨機率 33%

這段期間預估總雨量約 0.3 mm。

from mcp.server.fastmcp import FastMCP

mcp = FastMCP("weather-taipei")          # 建立一個名為 weather-taipei 的伺服器

OPEN_METEO_BASE = "https://api.open-meteo.com/v1/forecast"
ZHONGSHAN_LAT = 25.0637                   # 中山區大約緯度
ZHONGSHAN_LON = 121.5265                  # 中山區大約經度

WEATHER_CODES = {0: "晴天", 1: "大致晴朗", 2: "局部多雲", 3: "陰天",
                 61: "小雨", 63: "中雨", 65: "大雨", 95: "雷雨", ...}

def describe_code(code: int) -> str:
    return WEATHER_CODES.get(code, f"未知天氣（代碼 {code}）")

async def make_request(params: dict) -> dict | None:
    async with httpx.AsyncClient() as client:
        try:
            resp = await client.get(OPEN_METEO_BASE, params=params, timeout=30.0)
            resp.raise_for_status()       # 若 HTTP 狀態非 2xx 會丟出例外
            return resp.json()
        except Exception:
            return None                   # 出錯就回 None，交給上層處理

params = {
    "latitude": lat, "longitude": lon, "timezone": "Asia/Taipei",
    "current": "temperature_2m,relative_humidity_2m,apparent_temperature,"
               "precipitation,weather_code,wind_speed_10m",
    "daily": "weather_code,temperature_2m_max,temperature_2m_min,"
             "precipitation_probability_max",
    "forecast_days": 3,
}

def resolve_location(name: str) -> tuple[float, float, str] | None:
    if name in TAIWAN_LOCATIONS:
        lat, lon = TAIWAN_LOCATIONS[name]
        return lat, lon, name
    for key, (lat, lon) in TAIWAN_LOCATIONS.items():
        if name and name in key:          # 部分關鍵字也能對應
            return lat, lon, key
    return None

now = data.get("current", {}).get("time", "")
start = next((i for i, t in enumerate(times) if t >= now), 0)  # 只看未來時段
for i in range(start, start + hours):
    ...  # 印出每小時的雨量與降雨機率

@mcp.tool()
async def get_zhongshan_weather() -> str:
    """取得台灣台北市中山區目前的天氣與未來 3 天預報。"""
    return await fetch_weather(ZHONGSHAN_LAT, ZHONGSHAN_LON, "台北市中山區")

@mcp.tool()
async def get_weather_by_city(city: str) -> str:
    """用台灣縣市名稱查詢天氣與未來 3 天預報。"""
    ...

@mcp.tool()
async def get_weather_by_coords(latitude: float, longitude: float) -> str:
    """依經緯度取得任一地點的天氣與未來 3 天預報。"""
    ...

@mcp.tool()
async def get_hourly_rain(city: str = "台北市中山區", hours: int = 12) -> str:
    """取得台灣某地未來數小時的逐小時降雨（雨量與降雨機率）。"""
    ...

if __name__ == "__main__":
    mcp.run(transport="stdio")

{
  "mcpServers": {
    "weather-taipei": {
      "command": "python",
      "args": ["C:/路徑/weather-taipei/weather_taipei.py"]
    }
  }
}

python -c "import asyncio, weather_taipei as w; print(asyncio.run(w.fetch_weather(w.ZHONGSHAN_LAT, w.ZHONGSHAN_LON, '台北市中山區')))"