roc-cwa-mcp
Enables to access Taiwan Central Weather Administration data, including 3-day and 1-week weather forecasts for counties/cities and historical rainfall data.
README
Taiwan Central Weather Administration MCP Server
This project provides a Model Context Protocol (MCP) server that interfaces with the Taiwan Central Weather Administration (CWA) API, allowing you to easily access weather data for Taiwan.
CWA API Resources
To use this project, you need to obtain an API key from the Central Weather Administration:
- CWA Open Data Platform: https://opendata.cwa.gov.tw/index
- API Documentation: https://opendata.cwa.gov.tw/dist/opendata-swagger.html
- API Key Application Guide: https://www.hlbh.hlc.edu.tw/resource/openfid.php?id=38959
Features
- Get 3-day weather forecast data for Taiwan counties and cities
- Get 1-week weather forecast data for Taiwan counties and cities
- Get historical rainfall data for the past three days
- Automatic data cleaning and format conversion
- Simplified API output with only essential information
System Requirements
- Python 3.10+
- MCP CLI 1.6.0+
- uv package manager
Installation
-
Ensure you have Python 3.10 or higher installed
-
Install dependencies using uv:
# Install project dependencies using uv
uv pip install -e .
Usage
Starting the Server
Windows Users
# Execute in Command Prompt or PowerShell
uv --directory your_project_path run src/server.py your_API_key
Mac and Linux Users
# Execute in Terminal
uv --directory your_project_path run src/server.py your_API_key
Available MCP Tools
This server provides the following three main tools:
1. get_3_days_weather
Get 3-day weather forecast data for a specified county or city.
Parameters:
location_name(string): County or city name, must be a valid Taiwan county or city name
Valid county/city names include: Yilan County, Hualien County, Taitung County, Penghu County, Kinmen County, Lienchiang County, Taipei City, New Taipei City, Taoyuan City, Taichung City, Tainan City, Kaohsiung City, Keelung City, Hsinchu County, Hsinchu City, Miaoli County, Changhua County, Nantou County, Yunlin County, Chiayi County, Chiayi City, Pingtung County
2. get_1_week_weather
Get 1-week weather forecast data for a specified county or city.
Parameters:
location_name(string): County or city name, must be a valid Taiwan county or city name
3. get_historical_rainfall
Get rainfall data for the past three days.
No parameters required.
Data Format
Weather Forecast Data Format
[
{
"ElementName": "Temperature",
"Time": [
["2025-04-11T00:00", "21"],
["2025-04-11T01:00", "21"],
...
]
},
{
"ElementName": "Relative Humidity",
"Time": [
["2025-04-11T00:00", "90"],
["2025-04-11T01:00", "89"],
...
]
},
...
]
Rainfall Data Format
{
"rain_labels": ["Now", "Past10Min", "Past1hr", "Past3hr", "Past6Hr", "Past12hr", "Past24hr", "Past2days", "Past3days"],
"stations": [
{
"name": "Station Name",
"time": "Observation Time",
"loc": "County,Town",
"geo": [latitude, longitude],
"rain": [current, past10min, past1hr, past3hr, past6hr, past12hr, past24hr, past2days, past3days]
},
...
]
}
Supported Weather Elements
3-Day Forecast
- Temperature
- Relative Humidity
- Apparent Temperature
- Comfort Index
- Wind Direction
- Wind Speed
- 3-hour Precipitation Probability
- Weather Phenomenon
- Comprehensive Weather Description
1-Week Forecast
- Average Temperature
- Maximum Temperature
- Minimum Temperature
- Average Relative Humidity
- Maximum Apparent Temperature
- Minimum Apparent Temperature
- Maximum Comfort Index
- Minimum Comfort Index
- Wind Speed
- Wind Direction
- 12-hour Precipitation Probability
- UV Index
- Weather Phenomenon
- Comprehensive Weather Description
API Data Sources
This project uses the following open data APIs from the Taiwan Central Weather Administration:
- 3-Day Forecast: Taiwan Township Weather Forecast - 3-Day Forecast (3-hour intervals)
- 1-Week Forecast: Taiwan Township Weather Forecast - 1-Week Weather Forecast
- Rainfall Data: Automatic Rainfall Station - Rainfall Observation Data
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。