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Shopify MCP

Model Context Protocol Integration

Overview

Integrates with Shopify to provide tools for retrieving product and customer data, enabling e-commerce analytics and automation without API complexities.

Shopify

Integrates with Shopify to provide tools for retrieving product and customer data, enabling e-commerce analytics and automation without API complexities.

Installation Instructions


README: https://github.com/siddhantbajaj/shopify-mcp-server

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
  1. Create and activate a virtual environment using uv:
uv venv
source .venv/bin/activate  # On Unix/MacOS
# or
.venv\Scripts\activate  # On Windows
  1. 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
  1. 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: john@example.com
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

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