MCP-Server

Ansh642/MCP-Server

3.1

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The MCP Weather Data Fetcher is a tool designed to provide real-time weather updates using the Model Context Protocol (MCP) and OpenWeatherMap API.

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šŸŒ¤ļø MCP 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.

šŸš€ 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

šŸ›  Tech Stack

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

šŸ“¦ Setup

  1. Clone the repo & install dependencies:
git clone https://github.com/Ansh642/MCP-Server.git
cd mcp-weather-fetcher
npm install
  1. Create a .env file with your OpenWeatherMap API key:
OPENWEATHER_API_KEY=your_api_key_here
  1. Run the MCP server:
node index.js
  1. (Optional) Define the server in mcp.json:
{
  "mcpServers": {
    "weatherData": {
      "command": "node",
      "args": ["C:/Users/91995/Desktop/mcpServer/index.js"]
    }
  }
}

šŸ’¬ Example Interaction

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

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

šŸ‘¤ Author

Ansh Agarwal šŸ“§ anshagarwal642@gmail.com šŸ”— GitHub | LinkedIn