MCP Weather Demo

mcp

A demo of the ModelContextProtocol (MCP) using the Anthropic AI SDK.

Built following the Server Quickstart and the Client Quickstart.

Getting Started

Prerequisites

• Bun (v1.2.17)
• asdf (optional)
• asdf-bun (optional)
• Claude Desktop (required if only running the server)

Installation

If using asdf, run:

Regardless of whether using asdf or not, install dependencies:

Server

The server allows a client to access resources, tools, and prompts.

It needs a client to interact with an LLM. Claude Desktop serves as the client if you are only running the server.

Set Up

You need to add the server to Claude Desktop by modifying the claude_desktop_config.json file in your Library/Application Support/Claude directory. If this file does not exist, you can create it.

Add the following to the file:

⚠️ Bun Path

If you are using asdf, you will need to use the absolute path to the bun executable. You can find this by running asdf where bun.

If you're just using bun without asdf, you can use bun as the command.

Run

Once you've modified the claude_desktop_config.json file, restart Claude Desktop.

You should now see the weather tools and prompts in Claude Desktop!

Client

Instead of using Claude Desktop, you can also run a client to handle the interaction with the LLM.

This would suitable for building a chat interface or web application that uses Anthropic's API. With MCP, you can give the LLM access to data without having to manually copy and paste them into a prompt.

Set Up

Get an Anthropic API key from the Anthropic API Keys page.

Create a .env file in the root of the project and add the following:

Run

Now you can run the client:

This gives you an interactive CLI where you can ask the LLM questions. Note that you have access to the tools defined in the server!