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servidor meteorológico
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Weather MCP Server
Overview
This project implements a Model Context Protocol (MCP) server that allows AI assistants (such as Claude) to interact with the National Weather Service (NWS) API. The server provides real-time weather alerts and forecasts for a given location.
Features
- Retrieve active weather alerts for a given US state.
- Fetch weather forecasts for a specified latitude and longitude.
- Implements the FastMCP framework to expose tools for AI interaction.
Technologies Used
- Python
- FastMCP
- httpx (for asynchronous HTTP requests)
Prerequisites
Before running this project, ensure you have:
- Python installed (version 3.11.6 or higher recommended)
- uv package manager (pip install uv)
- httpx installed (pip install httpx)
- fastmcp installed (pip install fastmcp)
- Claude Desktop app
uv Package Manager Installation
# On macOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh
# On Windows.
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Add to PATH
Installation & Setup
-
Clone the repository:
git clone https://github.com/ankushmehta123/weather-mcp-server.git
-
Install dependencies:
pip install -r requirements.txt
-
Configure your MCP server by adding the following to
claude_desktop_config.json:
"mcpServers": { "weather": { "command": "C:/Users/"enter_your_username"/.local/bin/uv.exe", "args": [ "--directory", "directory_location of main.py", "run", "main.py" ] } } }
Usage
Run main.py
python main.py
Available API Tools
Open Claude Desktop, you would see: 2 MCP tools available (at right-side of the search-bar)
<img/ alt="servidor meteorológico image">
You can ask real-time weather-related questions to Claude now
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Reviews

user_1YMvadJK
The Supavec MCP Server by MCP-Mirror is an outstanding product for managing server tasks efficiently. Its robust features and seamless functionality make it a must-have for anyone serious about server management. The intuitive user interface and comprehensive tools provided ensure a smooth and hassle-free experience. Highly recommended for its reliability and performance. For more details, visit: [product link].