MCP Weather Server

This project is a demo implementation of a Model Context Protocol (MCP) server that provides weather-related tools. The server exposes two tools:

1. get-alerts: Fetches active weather alerts for a given US state.
2. get-forecast: Provides a weather forecast for a specific location based on latitude and longitude.

<a href="https://glama.ai/mcp/servers/@adarshem/mcp-server-learn"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@adarshem/mcp-server-learn/badge" alt="Weather Server MCP server" /> </a>

Features

• Built using Node.js.
• Implements MCP tools for weather data retrieval.
• Uses the US National Weather Service API for accurate and up-to-date weather information.

Prerequisites

• Node.js installed on your system.
• Familiarity with MCP concepts and tools.

Setup

Installing via Smithery

To install mcp-server-learn for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @adarshem/mcp-server-learn --client claude

Manual Installation

1. Clone the repository:

   git clone <repository-url>
   cd weather
   

2. Install dependencies using pnpm (as configured in the project):

   pnpm install
   

3. Build the project:

   pnpm build
   

Configuration

Update your settings.json file of VSCode to add this MCP server

{
    "mcpServers": {
        "weather": {
            "command": "node",
            "args": [
                "/ABSOLUTE/PATH/TO/PARENT/FOLDER/weather/build/index.js"
            ]
        }
    }
}

Resources

• MCP Quickstart Guide
• US National Weather Service API