About TaiwanWeatherWithMCPServer
TaiwanWeatherWithMCPServer connects Taiwan’s Central Weather Administration open-data API to AI models. It is aimed at applications that need weather data and is built with the MCP Python SDK.
Key features
- 01Connects to Central Weather Administration open-data API
- 02Provides weather data to AI models
- 03Built with MCP Python SDK
Use cases
- 01Query Taiwan weather in AI applications
- 02Bring weather data into model workflows
MCP support
Built with the MCP Python SDK, the project makes weather data from the Central Weather Administration open-data API available to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMETaiwanWeatherWithMCPServer
串接中央氣象局API，讓AI模型獲得準確的天氣資料
MCP Python-sdk https://github.com/modelcontextprotocol/python-sdk
中央氣象署開放資料開放資料平台之資料截取API https://opendata.cwa.gov.tw/dist/opendata-swagger.html?urls.primaryName=openAPI
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.