Weather Data Fetcher

A simple yet powerful weather-fetching tool built using the Model Context Protocol (MCP). This service allows AI agents to retrieve live weather updates for any city via OpenWeatherMap, wrapped in an agent-friendly format using MCP standards.

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🚀 Features

• Real-time weather data via OpenWeatherMap API
• MCP-compatible tool (getWeatherData)
• Returns structured details: temperature, humidity, wind speed, and description
• Agent-friendly response formatting
• CLI-compatible using Stdio transport

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🛠 Tech Stack

• Node.js
• MCP SDK (@modelcontextprotocol/sdk)
• OpenWeatherMap API
• zod (for input validation)
• dotenv

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📦 Setup

1. Clone the repo & install dependencies:

git clone https://github.com/Ansh642/MCP-Server.git
cd mcp-weather-fetcher
npm install

2. Create a .env file with your OpenWeatherMap API key:

OPENWEATHER_API_KEY=your_api_key_here

3. Run the MCP server:

node index.js

4. (Optional) Define the server in mcp.json:

{
  "mcpServers": {
    "weatherData": {
      "command": "node",
      "args": ["C:/Users/91995/Desktop/mcpServer/index.js"]
    }
  }
}

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💬 Example Interaction

>> Call tool: getWeatherData with { "city": "Delhi" }

✅ Weather Report for Delhi:
- Temperature: 34.9°C
- Feels Like: 37.1°C
- Humidity: 45%
- Weather: Clear
- Description: clear sky
- Wind Speed: 3.6 m/s

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👤 Author

Ansh Agarwal 📧 [email protected] 🔗 GitHub | LinkedIn

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