I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

Weather MCP Server
Overview
This repository contains an MCP (Model Context Protocol) server for accessing US weather data from the National Weather Service (NWS) API. The server provides tools to fetch weather alerts and forecasts for locations across the United States.
Features
- Get weather alerts for any US state using two-letter state codes
- Retrieve detailed weather forecasts by latitude and longitude
- Structured logging with contextual information
- Error handling and timeout management
Installation
Installing via Smithery
To install mcp-weather-server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @asifdotpy/mcp-weather-server --client claude
Manual Installation
# Clone the repository
git clone <repository-url>
# Navigate to the directory
cd weather
# Install dependencies (requires Python 3.11+)
pip install -e .
Dependencies
- httpx: For making asynchronous HTTP requests
- mcp: Model Context Protocol library for building MCP servers
Usage
The server provides two main tools:
Get Weather Alerts
get_alerts(state: str) -> str
-
state
: Two-letter US state code (e.g., CA, NY) - Returns formatted weather alerts for the specified state
Get Weather Forecast
get_forecast(latitude: float, longitude: float) -> str
-
latitude
: Latitude of the location -
longitude
: Longitude of the location - Returns a 5-period weather forecast for the specified coordinates
Running the Server
python weather.py
The server runs over stdio, making it compatible with MCP clients.
Development
- Set the
ENV
environment variable to "production" for JSON-formatted logs - Configure logging level with the
LOG_LEVEL
environment variable
License
[Specify your license here]
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Reviews

user_e8acLC5H
The privateGPT MCP Server by MCP-Mirror is an outstanding product for AI and MAS development enthusiasts. It offers robust and scalable solutions, ensuring seamless performance and efficiency. Highly recommended for anyone in need of a reliable and effective server. Check it out here: https://mcp.so/server/Fujitsu-AI_MCP-Server-for-MAS-Developments/MCP-Mirror.