Shopify MCP Server

A Model Context Protocol (MCP) server to connect clients like Claude with Shopify store data. This server exposes tools for retrieving product and customer information from your Shopify store.

Tools

• get-product-list: Retrieve a list of products from your Shopify store

• get-customer-list: Retrieve a list of customers from your Shopify store

• More to come soon

Related MCP server: WooCommerce MCP Server

Prerequisites

• Python 3.12 or higher

• A Shopify store with API access

• Shopify API credentials (API Key, Password, and Access Token)

Installation

1. Clone the repository:

2. Create and activate a virtual environment using uv:

3. Install the package:

Configuration

1. Create a .env file in the root directory with your Shopify credentials:

Replace the placeholder values with your actual Shopify API credentials.

Usage

1. Start the MCP server:

2. The server exposes two tools:

get-product-list

Retrieves a list of products from your Shopify store.

• Optional parameter: limit (default: 10) - Maximum number of products to return

get-customer-list

Retrieves a list of customers from your Shopify store.

• Optional parameter: limit (default: 10) - Maximum number of customers to return

Tool Response Format

Products

Customers

Development

This project uses:

• MCP (Model Context Protocol) for building AI-powered tools

• Shopify Python API for Shopify integration

• UV for dependency management

Security

• Never commit your .env file to version control

• Keep your Shopify API credentials secure

• Use environment variables for sensitive information

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

1. Fork the repository

2. Create your feature branch (git checkout -b feature/amazing-feature)

3. Commit your changes (git commit -m 'Add some amazing feature')

4. Push to the branch (git push origin feature/amazing-feature)

5. Open a Pull Request