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天气管理
一个模型上下文协议(MCP)服务器,可提供加拿大政府天气API的天气预报数据。通过纬度和经度来获取加拿大任何地点的准确预测。轻松与Claude桌面和其他与MCP兼容的客户集成在一起。
3 years
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Weather MCP Server
A Model Context Protocol (MCP) server that provides weather forecast data from the Government of Canada Weather API.
Features
- Fetch weather forecasts for any location in Canada by providing latitude and longitude
- Easily integrates with Claude Desktop or any MCP-compatible client
Installation
Prerequisites
- Python 3.13 or higher
- mise or another Python version manager (optional)
Installation Steps
-
Clone this repository:
git clone https://github.com/seanlf/weather-mcp.git cd weather-mcp
-
Set up a virtual environment (optional but recommended):
python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate
-
Install the package and dependencies:
pip install -e .
Usage
Running as a standalone server
Run the server directly:
python weather.py
Integration with Claude Desktop
To integrate with Claude Desktop:
- Edit your Claude Desktop configuration (typically at
~/Library/Application Support/Claude/claude_desktop_config.json
on macOS):
{
"mcpServers": {
"weather": {
"command": "/path/to/python",
"args": [
"/path/to/weather-mcp/weather.py"
]
}
}
}
- Restart Claude Desktop to apply changes
Using with other MCP hosts
To use with other MCP hosts, configure the host to execute weather.py
using Python 3.13 or higher.
API Reference
get_forecast(latitude: float, longitude: float) -> str
Gets a 5-day weather forecast for the specified location.
Parameters:
-
latitude
: Latitude of the location -
longitude
: Longitude of the location
Returns:
- A formatted string containing the 5-day forecast
Example usage in Claude:
Please get the weather forecast for Ottawa, Canada (45.4215, -75.6972)
Development
Running Tests
pytest
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the terms of the license included in the repository.
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Reviews

user_OnzJsbuA
Weather-mcp by SeanLF is a fantastic tool for staying updated with the latest weather conditions. Its seamless integration and user-friendly interface make it incredibly easy to fetch detailed weather data. The project is hosted on GitHub, showcasing a well-structured codebase that's a pleasure to use for both developers and casual users. Highly recommended for anyone looking to integrate reliable weather information into their applications!