
siddhantbajaj/shopify-mcp-server
Developer toolsA 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.
Overview
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. - 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 - Python 3.12 or higher - A Shopify store with API access - Shopify API credentials (API Key, Password, and Access Token) 2. Create and activate a virtual environment using uv: 1. Create a .env file in the root directory with your Shopify credentials: Replace the placeholder values with your actual Shopify API credentials. Retrieves a list of products from your Shopify store. - Optional parameter: limit (default: 10) - Maximum number of products to return Retrieves a list of customers from your Shopify store. - Optional parameter: limit (default: 10) - Maximum number of customers to return
README
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 storeget-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
- Clone the repository:
git clone https://github.com/siddhantbajaj/shopify-mcp-server.git
cd shopify-mcp-server
- Create and activate a virtual environment using
uv:
uv venv
source .venv/bin/activate # On Unix/MacOS
# or
.venv\Scripts\activate # On Windows
- Install the package:
uv pip install -e .
Configuration
- Create a
.envfile 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
- Start the MCP server:
python -m shopify_mcp_server.server
- 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
.envfile 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
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Install
This server does not publish a one-line install command.
Open the repository installation guide New to MCP? Start with the mcpskill.org guide →