MCP Weather Server

A simple Model Context Protocol (MCP) server that provides real-time weather data to AI agents like GitHub Copilot.

Quick Start

Clone the repository:

git clone https://github.com/microsoft/lets-learn-mcp-javascript.git
cd mcp-weather-server

1. Install Dependencies

npm install

2. Run the Server

Test with MCP Inspector:

npx -y @modelcontextprotocol/inspector npx -y tsx main.ts

3. Use with VS Code

Open the mcp.jsonfile in .vscode folder
Click the start server button above line 4
Open Chat mode and select agent and choose a modal that supports MCPs such as Claude Sonnet
Type or speak into the chat and ask it what the weather is like in your city

Features

🌤️ Real-time weather data for any city
🌍 No API key required (uses Open-Meteo)
🤖 Works with GitHub Copilot and other MCP-compatible AI tools
⚡ Easy to test with MCP Inspector

Usage Examples

Ask GitHub Copilot:

"What's the weather like in Tokyo?"
"How's the weather in London today?"
"Give me the current weather for Paris"

How It Works

The server provides a get-weather tool that:

Converts city names to coordinates using geocoding
Fetches current weather data from Open-Meteo API
Returns structured data that AI agents can format beautifully

Code Structure

// Creates MCP server with weather tool
const server = new McpServer({
  name: "Weather Server",
  version: "1.0.0"
});

// Defines the get-weather tool
server.tool('get-weather', 'Tool to get the weather of a city', ...);

// Connects via stdio transport
const transport = new StdioServerTransport();
server.connect(transport);

Dependencies

@modelcontextprotocol/sdk - MCP server framework
zod - Schema validation
tsx - TypeScript execution (for development)

API Used

Open-Meteo - Free weather API with no authentication required

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

A simple Model Context Protocol server that provides real-time weather data to AI agents like GitHub Copilot, allowing users to get current weather information for any city through natural language queries.

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