What is Shopify Mcp Server

Shopify MCP Server is a Model Context Protocol (MCP) server designed to connect clients, such as Claude, with Shopify store data. It provides tools for retrieving product and customer information from Shopify stores.

Use cases

Use cases for Shopify MCP Server include integrating Shopify data into AI applications, automating customer and product data retrieval, and enhancing e-commerce analytics.

How to use

To use Shopify MCP Server, clone the repository, set up a virtual environment, install the package, configure your Shopify API credentials in a .env file, and start the server using the command ‘python -m shopify_mcp_server.server’.

Key features

Key features include the ability to retrieve a list of products and customers from your Shopify store, with optional parameters to limit the number of results returned.

Where to use

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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

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:

git clone https://github.com/siddhantbajaj/shopify-mcp-server.git
cd shopify-mcp-server

2. Create and activate a virtual environment using uv:

uv venv
source .venv/bin/activate  # On Unix/MacOS
# or
.venv\Scripts\activate  # On Windows

3. Install the package:

uv pip install -e .

Configuration

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

SHOPIFY_SHOP_URL="your-store.myshopify.com"
SHOPIFY_API_KEY="your_api_key"
SHOPIFY_PASSWORD="your_api_password"
SHOPIFY_ACCESS_TOKEN="your_access_token"

Replace the placeholder values with your actual Shopify API credentials.

Usage

1. Start the MCP server:

python -m shopify_mcp_server.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

Products (showing X):

Title: Product Name
ID: 123456789
Product Type: Type
Vendor: Vendor Name
Status: active
Price: $XX.XX
---

Customers

Customers (showing X):

Name: John Doe
ID: 123456789
Email: [email protected]
Orders Count: X
Total Spent: $XX.XX
---

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