Products Info MCP Server

🚀 MCP Product Information Server

This is an MCP (Model Context Protocol) server that provides detailed information about Caffeine Army products, especially SuperCoffee.

🚀 Quick Start

This server serves as an MCP (Model Context Protocol) server, dedicated to offering detailed information about Caffeine Army products, with a particular focus on SuperCoffee.

✨ Features

The server utilizes the Shopify API to retrieve comprehensive product details, including:

• Product name
• Description
• Price
• Supplier
• Other relevant information

📦 Installation

Requirements

• Node.js
• NPM or Yarn
• Configured environment variables

Configuration

1. Clone the repository.
2. Install dependencies:

npm install

3. Create a .env file in the project root directory:

SHOPIFY_SHOP=your-shop.myshopify.com
SHOPIFY_STOREFRONT_TOKEN=your_token

💻 Usage Examples

Basic Usage

To build the server:

npm run build

This step is crucial to ensure a successful connection for your server.

Available Tools

get-products

Returns detailed information about SuperCoffee, including:

• Product title
• Full description
• Current price
• Supplier information

Testing Your Server

You need to configure your LLM client with this server. Here is an example using Cursor.ai:

{
    "mcpServers": {
        "products-info": {
            "command": "node",
            "args": [
                "/Absolute path/to parent directory/FOLDER/products-info/build/index.js"
            ],
            "env": {
              "SHOPIFY_SHOP": "your-store.myshopify.com",
              "SHOPIFY_STOREFRONT_TOKEN": "TOKEN"
            }
        }
    }
}

📚 Documentation

Project Structure

├── src/
│   ├── index.ts          # Server entry point
│   └── @types/          # TypeScript definitions
├── .env                 # Environment variable file (not under version control)
├── package.json        # Dependencies and scripts
└── README.md          # This file

Technologies Used

• TypeScript
• Node.js
• MCP SDK
• Shopify API
• Axios

📄 License

This project is licensed under the MIT License. For more details, please refer to the LICENSE file.