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

MCP-Weather-Server
A weather server application for MCP
3 years
Works with Finder
1
Github Watches
1
Github Forks
0
Github Stars
MCP Weather Server
A weather server application built with the Model Context Protocol (MCP) that provides access to real-time weather data and alerts.
Overview
MCP Weather Server is a TypeScript application that serves as a backend for weather-related applications using the MCP SDK. It provides tools for accessing current weather conditions, forecasts, and weather alerts through the National Weather Service (NWS) API.
Features
- US Weather Forecasts: Get detailed forecast data for any US location via latitude/longitude
- Weather Alerts: Retrieve active weather alerts for any US state
- MCP Integration: Built as an MCP server for seamless AI assistant integration
- Command-line Interface: Easy to install and run as a CLI tool
Architecture
The application is built using the Model Context Protocol (MCP) framework:
- MCP Server Layer: Handles communication with MCP clients
- Weather Tools: Implements forecast and alert functionality
- External API Integration: Connects to the National Weather Service (NWS) API
Component Structure
The server includes two primary weather tools:
- get-forecast: Retrieves detailed weather forecasts for a location specified by latitude and longitude
- get-alerts: Obtains active weather alerts for a specified US state
These tools communicate with the National Weather Service API to provide reliable weather data.
Tech Stack
- Node.js
- TypeScript
- MCP SDK (@modelcontextprotocol/sdk)
- National Weather Service API
- Zod (for input validation)
Getting Started
Prerequisites
- Node.js (v18 or higher)
- npm or yarn
Installation
# Clone the repository
git clone https://github.com/cskiro/MCP-Weather-Server.git
# Navigate to the project directory
cd MCP-Weather-Server
# Install dependencies
npm install
# Build the project
npm run build
# Make the CLI executable
chmod +x build/index.js
# Install globally (optional)
npm install -g .
Usage
You can use the server in two ways:
- Direct invocation:
weather
- Through an MCP-compatible client/assistant: Configure your MCP client to use the weather tool for forecasts and weather alerts.
API Usage
Get Weather Forecast
// Example: Get forecast for San Francisco
{
latitude: 37.7749,
longitude: -122.4194
}
Get Weather Alerts
// Example: Get alerts for California
{
state: "CA"
}
Data Sources
This server uses the National Weather Service API, which provides official weather data for the United States. Due to the limitations of this data source, the application currently only supports US-based locations.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the ISC License - see the LICENSE file for details.
相关推荐
Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.
Confidential guide on numerology and astrology, based of GG33 Public information
A geek-themed horoscope generator blending Bitcoin prices, tech jargon, and astrological whimsy.
Converts Figma frames into front-end code for various mobile frameworks.
Advanced software engineer GPT that excels through nailing the basics.
Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation links, and contributors.
Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx
A unified API gateway for integrating multiple etherscan-like blockchain explorer APIs with Model Context Protocol (MCP) support for AI assistants.
Mirror ofhttps://github.com/agentience/practices_mcp_server
Mirror ofhttps://github.com/bitrefill/bitrefill-mcp-server
Reviews

user_IEEzcF2j
As an avid user of MCP-Weather-Server, I can confidently say that this service is incredibly reliable and user-friendly. Developed by cskiro, it offers precise weather forecasts and seamless integration, making it an essential tool for anyone needing accurate weather data. Highly recommended for developers and weather enthusiasts alike. Check it out on GitHub and experience the efficiency it brings to your projects!