MCP Weather Client & Server Example with Typescript

What is MCP Weather Client & Server Example with Typescript?

This is a tutorial project demonstrating the Model Context Protocol (MCP) with Anthropic’s Claude models. It includes a CLI-based client and a weather tools server that communicate via MCP over stdio.

How to use MCP Weather Client & Server Example with Typescript?

Prerequisites are Node.js v20+, an Anthropic API key with credits, and the @anthropic-ai/sdk. Run npm install && npm run build in both the client and server directories, then from client execute node build/index.js ../server/build/index.js.

Key features of MCP Weather Client & Server Example with Typescript?

• MCP‑compliant server exposing get-alerts and get-forecast tools
• CLI client using Anthropic Claude to call weather tools
• Written in TypeScript for both client and server
• Communicates over stdio transport
• Supports .env configuration with ANTHROPIC_API_KEY

Use cases of MCP Weather Client & Server Example with Typescript?

• Learning how to build an MCP server and client from scratch
• Prototyping weather‑alert and forecast tool integrations with Claude
• Testing MCP’s stdio transport in a local development environment
• Demonstrating a complete end‑to‑end MCP workflow with Anthropic models

FAQ from MCP Weather Client & Server Example with Typescript?

What runtime and dependencies are required?

Node.js v20+ and an Anthropic API key with credits. The @anthropic-ai/sdk is used by the client.

How does the server communicate with the client?

The server and client communicate over stdio using the Model Context Protocol (MCP).

What tools does the server expose?

The server exposes the get-alerts and get-forecast tools for weather data.

Where is the API key configured?

The API key is set via a .env file using the ANTHROPIC_API_KEY variable.

What transport does MCP use in this example?

This example uses stdio as the MCP transport between the client and server.