Weather MCP Server
A Model Context Protocol server that enables AI models to fetch weather alerts and detailed forecasts for US locations using the National Weather Service API.
README
Weather MCP Server
A Model Context Protocol (MCP) server that provides weather information services using the National Weather Service (NWS) API. This server implements a set of tools that can be used by AI models to fetch weather alerts and forecasts for locations in the United States.
Features
- Weather Alerts: Get active weather alerts for any US state using a two-letter state code
- Weather Forecast: Get detailed weather forecasts for any location in the US using latitude and longitude coordinates
- MCP Integration: Implements the Model Context Protocol for seamless integration with AI models
- TypeScript: Written in TypeScript for type safety and better developer experience
Installation
npm install
npm run build
Usage
This server is designed to be used as a CLI tool and can be installed globally:
npm install -g .
weather
The server runs on stdio and provides two main tools:
1. Get Weather Alerts
Retrieves active weather alerts for a specified US state.
Example parameters:
{
"state": "CA" // Two-letter state code
}
2. Get Weather Forecast
Retrieves weather forecast for a specific location using coordinates.
Example parameters:
{
"latitude": 37.7749,
"longitude": -122.4194
}
Technical Details
- Built using the
@modelcontextprotocol/sdkfor MCP implementation - Uses the National Weather Service (NWS) API for weather data
- Implements data validation using Zod
- Written in TypeScript with Node.js
- Uses ES modules (type: "module" in package.json)
Dependencies
@modelcontextprotocol/sdk: ^1.12.1zod: ^3.25.41typescript: ^5.8.3 (dev dependency)@types/node: ^22.15.26 (dev dependency)
Development
- Clone the repository
- Install dependencies:
npm install - Build the project:
npm run build
API Integration
The server uses the National Weather Service (NWS) API with the following endpoints:
- Alerts:
https://api.weather.gov/alerts - Points:
https://api.weather.gov/points/{lat},{lon} - Forecast: Uses the forecast URL provided by the points endpoint
Error Handling
The server includes robust error handling for:
- API request failures
- Invalid coordinates
- Missing or malformed data
- Network issues
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.