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weather-mcp-server

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# Weather MCP Server [![Trust Score](https://archestra.ai/mcp-catalog/api/badge/quality/devilcoder01/weather-mcp-server)](https://archestra.ai/mcp-catalog/devilcoder01__weather-mcp-server) [![smithery badge](https://smithery.ai/badge/@devilcoder01/weather-mcp-server)](https://smithery.ai/server/@devilcoder01/weather-mcp-server) A Model Context Protocol (MCP) server for weather data, built with FastAPI and the MCP framework. This server provides various weather-related tools that can be used by AI assistants to retrieve current weather conditions, forecasts, air quality data, and more. ## Features - Current weather conditions - Weather forecasts (1-14 days) - Historical weather data - Weather alerts - Air quality information - Astronomy data (sunrise, sunset, moon phases) - Location search - Timezone information - Sports events ## Requirements - Python 3.13+ - [uv](https://github.com/astral-sh/uv) package manager - [WeatherAPI](https://www.weatherapi.com/) API key ## Installation ### Installing via Smithery To install Weather Data Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@devilcoder01/weather-mcp-server): ```bash npx -y @smithery/cli install @devilcoder01/weather-mcp-server --client claude ``` ### Manual Installation 1. Clone this repository: ``` git clone https://github.com/yourusername/Weather_mcp_server.git cd Weather_mcp_server ``` 2. Install dependencies using uv: ``` uv venv uv pip install -e . ``` 3. Create a `.env` file in the project root with your WeatherAPI key: ``` WEATHER_API_KEY=your_api_key_here ``` ## Usage Run the server: ``` python main.py ``` The server will start on http://localhost:8000 by default. ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

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