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Taiwanweatherwithmcp Server
Obtain Taiwan weather data by connecting to the Central Weather Bureau API to provide accurate meteorological information for AI models
rating : 2 points
downloads : 21
What is TaiwanWeatherWithMCPServer?
This is a weather data service based on the Model Context Protocol (MCP), specifically designed to provide real - time weather data for the Taiwan region to AI models. It connects to the open data platform of the Central Weather Bureau through the official API to ensure the authority and accuracy of the data.How to use TaiwanWeatherWithMCPServer?
Developers can easily integrate this service through the MCP Python SDK. AI models only need to send standard requests to obtain structured weather data.Use cases
It is particularly suitable for AI applications that require accurate weather information in the Taiwan region, such as weather forecast assistants, agricultural decision - making systems, travel planning tools, etc.Main features
Real - time weather dataProvide core meteorological data such as real - time temperature, humidity, and rainfall probability in various regions of Taiwan
Weather forecastSupport the acquisition of 1 - 7 - day weather forecast data, including the daily maximum and minimum temperatures
Precise regional queryObtain the weather conditions of specific regions at the city, county, and district levels
Advantages and limitations
Advantages
The data source is authoritative, directly connected to the official API of the Central Weather Bureau
Fast response speed and timely data updates
Support comprehensive queries of multiple weather parameters
Limitations
Currently, it only covers data in the Taiwan region
The free version has a limit on the number of API calls
Basic programming knowledge is required for integration
How to use
Install the MCP Python SDK
Install the necessary packages through pip
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Get the API key
Register an account on the Central Weather Bureau open platform and apply for an API key
Initialize the weather service
Configure the API key and regional parameters in the code
Usage examples
Travel planning assistantThe AI travel assistant recommends suitable clothing and activities for users by querying the weather at the destination
Agricultural decision - making systemHelp farmers decide the best sowing or harvesting time based on the weather forecast
Frequently Asked Questions
Is it necessary to pay for use?
What is the data update frequency?
Which programming languages are supported?
Related resources
MCP Python SDK GitHub repository
Source code and documentation of the official Python SDK
Central Weather Bureau open platform
Official documentation of the meteorological data API
Weather data integration tutorial
Step - by - step guidance on how to integrate the weather service into an AI application
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