mcpField
S
Shopify MCP Server

Shopify MCP Server

Local
github.com/siddhantbajajBusiness & Marketing7Updated 91w ago

About Shopify MCP Server

Shopify MCP Server exposes Shopify store data to clients such as Claude, for store operators who need MCP-based access to product and customer information. It currently provides two list-retrieval tools.

Key features

  1. 01Retrieve product lists
  2. 02Retrieve customer lists
  3. 03Limit result counts

Use cases

  1. 01Review store products and prices
  2. 02Retrieve customer and order summaries

MCP support

This MCP server exposes tools for retrieving Shopify product and customer lists to clients. Shopify API credentials are required.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project 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 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: [email protected]
Orders Count: X
Total Spent: $XX.XX
---

Development

This project uses:

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

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.