Weather MCP
A weather information service based on the MCP protocol, providing weather alerts for US states and weather forecast queries by latitude and longitude, implemented using Python and the FastMCP server.
rating : 2 points
downloads : 6
What is Weather MCP Service?
Weather MCP Service is an intelligent weather information platform that allows users to obtain accurate weather forecasts and weather alert information through simple API calls. The service uses the advanced MCP protocol to ensure efficient and reliable data transmission.How to use Weather MCP Service?
Simply install the Python environment and run the server, and you can obtain weather data through simple API calls. The service provides two main query methods: querying weather alerts by state and querying weather forecasts by latitude and longitude.Use Cases
Suitable for scenarios such as application development requiring real - time weather information, travel planning, and integration of disaster warning systems. Particularly suitable for enterprises and individual developers who need to obtain weather data automatically.Main Features
Weather Alert QueryProvide real - time weather alert information for US states, including warnings for extreme weather such as storms and floods.
Weather Forecast QueryObtain detailed weather forecasts for any location globally through latitude and longitude coordinates, including information such as temperature and precipitation probability.
Real - Time Data PushUse Server - Sent Events (SSE) technology to achieve real - time updates and pushes of weather data.
Advantages and Limitations
Advantages
Simple and easy - to - use API interface design
Support for weather alert queries across the entire United States
Global weather forecast service
Implementation based on the efficient MCP protocol
Real - time data push capability
Limitations
The weather alert function currently only supports US states
Requires basic knowledge of Python environment configuration
Requires self - application for an API key
How to Use
Environment Preparation
Ensure that Python 3.11 or a higher version is installed.
Install Dependencies
Clone the repository and install the required dependency packages.
Configure Environment Variables
Copy the.env.example file to.env and fill in your API key.
Start the Service
Run the main program of the weather service.
Test the Connection
Run the client test program in another terminal.
Usage Examples
Query Weather Alerts for FloridaGet the current weather alert information for Florida, including hurricane warnings.
Query the Weather Forecast for San FranciscoGet the weather forecast information for San Francisco in the next few days.
Frequently Asked Questions
Is the service charged?
Why does the weather alert only support the United States?
How to obtain an API key?
What is the data update frequency?
Does it support mobile applications?
Related Resources
GitHub Repository
Project source code and latest updates
MCP Protocol Documentation
Official documentation for the Model Control Protocol
Weather API Application
Application page for the weather data API
Installation Tutorial Video
Video tutorial on installing and using Weather MCP Service
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