
codebywaqas_weather-MCP-Server
镜像://github.com/codebywaqas/weather-mcp-server
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Weather MCP Server
A Modern Code Protocol (MCP) server that provides weather information using the OpenWeatherMap API.
Features
- Real-time weather data retrieval
- Metric units for temperature
- Detailed weather information including:
- Temperature
- Humidity
- Wind Speed
- Sunrise/Sunset times
- Weather description
Prerequisites
- Python 3.12 or higher
- OpenWeatherMap API key
Installation
Installing via Smithery
To install Weather MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @CodeByWaqas/weather-mcp-server --client claude
Manual Installation
- Clone the repository
- Create a virtual environment:
python -m venv .venv
source .venv/bin/activate # On Windows use: .venv\Scripts\activate
- Install dependencies:
pip install -e .
Setup Intructions
Setup with Claude Desktop
# claude_desktop_config.json
# Can find location through:
# Claude -> Settings -> Developer -> Edit Config
{
"mcpServers": {
"mcp-weather-project": {
"command": "uv",
"args": [
"--directory",
"/<absolute-path>/weather-mcp-server/src/resources",
"run",
"server.py"
],
"env": {
"WEATHER_API_KEY": "YOUR_API_KEY"
}
}
}
}
Local/Dev Setup Instructions
Clone repo
git clone https://github.com/CodeByWaqas/weather-mcp-server
Install dependencies
Install MCP server dependencies:
cd weather-mcp-server
# Create virtual environment and activate it
uv venv
source .venv/bin/activate # MacOS/Linux
# OR
.venv/Scripts/activate # Windows
# Install dependencies
uv add "mcp[cli]" python-dotenv requests httpx
Configuration
- Copy
src/resources/env.example
tosrc/resources/.env
- Add your OpenWeatherMap API key to the
.env
file:
WEATHER_API_KEY=your_api_key_here
Usage
Run the Claude Desktop and use LLM to retrieve weather info
License
This project is licensed under the MIT License - see the LICENSE file for details.
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Reviews

user_JFKak0IB
I recently started using the CodeByWaqas_weather-mcp-server and it has significantly enhanced my weather monitoring projects. The server is robust, well-documented, and easy to integrate. Kudos to MCP-Mirror for building such a reliable tool. Highly recommend it for anyone in need of a seamless weather data solution. For more details, visit the project on GitHub: https://github.com/MCP-Mirror/CodeByWaqas_weather-mcp-server