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Cwa

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Provides read-only access to Taiwan's Central Weather Administration (CWA) Open Data API, offering 36 tools across 7 categories including weather forecasts, obs

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Описание

Provides read-only access to Taiwan's Central Weather Administration (CWA) Open Data API, offering 36 tools across 7 categories including weather forecasts, observations, earthquakes, and astronomy.

README

PyPI version Python License: MIT GitHub release Publish to PyPI MCP

MCP server for CWA (中央氣象署, Central Weather Administration) Open Data API. Provides 36 read-only tools across 7 weather data categories for AI agents such as Claude.

繁體中文

Part of the Asgard AI Platform open-source ecosystem.

Features

  • 36 tools covering all major CWA Open Data categories
  • 80 API endpoints accessible via intelligent tool grouping (e.g. 44 township forecasts → 2 tools with county parameter)
  • 22 county mapping for township-level weather forecasts
  • All tools are read-only with readOnlyHint=True annotations

Categories

Category Tools Description
Forecast (預報) 9 36-hour, 3-day, 1-week forecasts; township forecasts; tidal; cold injury; temperature diff
Observation (觀測) 7 Weather stations, rainfall, 10-min observations, UV index, ozone, marine
Earthquake (地震海嘯) 5 Tsunami info, significant/local earthquake reports (zh/en)
Climate (氣候) 5 30-day observations, daily rainfall, monthly average, station info
Warning (天氣警特報) 7 Weather warnings by county, heavy rain, cold, heat, typhoon, tropical cyclone
Numerical (數值預報) 1 Heat injury index
Astronomy (天文) 2 Sunrise/sunset, moonrise/moonset

Quick Start

Install from PyPI

pip install mcp-cwa

Or clone and install locally

git clone https://github.com/asgard-ai-platform/mcp-cwa.git
cd mcp-cwa
uv venv && source .venv/bin/activate
uv pip install -e .

Claude Desktop / Claude Code

Add to your MCP configuration:

{
  "mcpServers": {
    "mcp-cwa": {
      "command": "python3",
      "args": ["mcp_server.py"],
      "cwd": "/path/to/mcp-cwa",
      "env": {
        "CWA_API_KEY": "CWA-your-authorization-code"
      }
    }
  }
}

Get API Key

  1. Register at CWA Open Data Platform
  2. After registration, obtain your authorization code from the member page

Environment Variables

Variable Required Description
CWA_API_KEY Yes CWA Open Data API authorization code

Example Usage

User: 臺北市現在天氣如何?
Agent: [calls get_weather_observation(county_name="臺北市")]

User: 最近有地震嗎?
Agent: [calls get_significant_earthquake(limit=3)]

User: 明天高雄日出時間?
Agent: [calls get_sunrise_sunset(county_name="高雄市", date="2025-04-16")]

Development

# Install dependencies
uv venv && source .venv/bin/activate
uv pip install -e .

# Run E2E tests (requires real API key)
CWA_API_KEY=CWA-xxx python3 tests/test_all_tools.py

API Reference

All tools query the CWA Open Data API at https://opendata.cwa.gov.tw/api/v1/rest/datastore/{dataset_id}.

See _spec/api-tools-list.md for the complete endpoint inventory.

License

MIT — see LICENSE

from github.com/asgard-ai-platform/mcp-cwa

Установка Cwa

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/asgard-ai-platform/mcp-cwa

FAQ

Cwa MCP бесплатный?

Да, Cwa MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Cwa?

Нет, Cwa работает без API-ключей и переменных окружения.

Cwa — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Cwa в Claude Desktop, Claude Code или Cursor?

Открой Cwa на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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