weather-forecast-server
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A Model Context Protocol (MCP) server for retrieving weather information using the wttr.in service.
Weather Forecast MCP Server
A Model Context Protocol (MCP) server for retrieving weather information using the wttr.in service.
Overview
This MCP server provides tools for accessing current weather conditions and forecasts for locations worldwide. It can be easily integrated with MCP clients, including Claude and other LLM applications supporting the MCP protocol.
Features
- Get current weather for any location
- Get multi-day weather forecasts (up to 3 days)
- Support for both Chinsee/English and other language location names
- Easy integration with MCP client applications
Installation
From pip
You can install the MCP Weather Server using uv
:
uv pip install weather-forecast-server
Or using pip:
pip install weather-forecast-server
From source
git clone https://github.com/shibing624/mcp-server-weather.git
cd weather-forecast-server
pip install -e .
Usage
Python Demo
from weather_forecast_server import get_weather
print(get_weather('baoding')) # can be "baoding" or "保定"
Running as a standalone MCP server
Run the server with the stdio transport:
uvx weather-forecast-server
or
uv run weather-forecast-server
or
python -m weather_forecast_server
Then, you can use the server with any MCP client that supports stdio transport.
Integrating with Cursor
To add the weather MCP server to Cursor, add stdio MCP with command:
uv run weather-forecast-server
Tools available
get_weather
- Get current weather conditions for a location (up to 3 days)
Contact
- Issues and suggestions:
- Email:
- WeChat: Add me (WeChat ID: xuming624) with the message: "Name-Company-NLP" to join our NLP discussion group.

License
This project is licensed under and can be used freely for commercial purposes.
Please include a link to the weather-forecast-server
project and the license in your product description.
Contribute
We welcome contributions to improve this project! Before submitting a pull request, please:
- Add appropriate unit tests in the
tests
directory - Run
python -m pytest
to ensure all tests pass - Submit your PR with clear descriptions of the changes
Acknowledgements
- Weather data provided by wttr.in
- Built with MCP Python SDK