A Model Context Protocol (MCP) server that provides weather information and alerts using the National Weather Service (NWS) API
What is akaramanapp weather mcp server
Weather MCP Server
A Model Context Protocol (MCP) server that provides weather information and alerts for US locations using the National Weather Service (NWS) API. This server is designed to be used by AI agents through the Model Context Protocol.
Features
- Tool for getting weather alerts for any US state
- Tool for getting detailed weather forecasts for any US location using coordinates
- Supports temperature, wind conditions, and short forecast descriptions
- Real-time data from the National Weather Service
Prerequisites
- Node.js (v16 or higher)
- npm or yarn package manager
Installation
- Clone the repository:
git clone https://github.com/akaramanapp/weather-mcp-server.git
cd weather-mcp-server
- Install dependencies:
npm install
- Build the application:
npm run build
MCP Tools
The server provides two MCP tools that can be used by AI agents:
get-alerts
Get weather alerts for a specific US state.
Parameters:
state
: Two-letter state code (e.g., CA, NY)
Example response:
{
"content": [
{
"type": "text",
"text": "Active alerts for CA: ..."
}
]
}
get-forecast
Get weather forecast for a specific location using coordinates.
Parameters:
latitude
: Latitude of the location (-90 to 90)longitude
: Longitude of the location (-180 to 180)
Example response:
{
"content": [
{
"type": "text",
"text": "Morning: Temperature: 72ยฐF, Wind: 5mph NW, Partly cloudy..."
}
]
}
Project Structure
weather/
โโโ src/
โ โโโ index.ts # Main server code with MCP tool implementations
โโโ build/ # Compiled JavaScript files
โโโ package.json # Project dependencies and scripts
โโโ tsconfig.json # TypeScript configuration
Technical Details
- Built with TypeScript
- Implements Model Context Protocol (MCP) server
- Uses @modelcontextprotocol/sdk for MCP server implementation
- Interfaces with the National Weather Service (NWS) API
- ES2022 target with Node16 module resolution
Development
To modify or extend the server:
- Make changes in the
src/index.ts
file - Rebuild the application:
npm run build
Dependencies
- @modelcontextprotocol/sdk: MCP server implementation framework
- zod: Runtime type checking and validation for tool parameters
- TypeScript: Development dependency for type safety
License
ISC
Notes
- This server only works for US locations as it uses the National Weather Service API
- API requests are rate-limited and require a User-Agent header
- All coordinates should be in decimal degrees format
- This is not a standalone CLI application, but rather a server that provides tools for AI agents through the Model Context Protocol
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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