Cwa

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

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

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