Shopify

Provides MCP tools to retrieve products and customers from a Shopify store through an MCP server.

python

GitHub Stars

python

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "mcp-mirror-siddhantbajaj_shopify-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "shopify_mcp_server.server"
      ],
      "env": {
        "SHOPIFY_API_KEY": "your_api_key",
        "SHOPIFY_PASSWORD": "your_api_password",
        "SHOPIFY_SHOP_URL": "your-store.myshopify.com",
        "SHOPIFY_ACCESS_TOKEN": "your_access_token"
      }
    }
  }
}

You can run a Shopify MCP Server to securely expose product and customer data to MCP clients. This server provides tools to fetch a store’s products and customers, enabling AI-powered workflows that need Shopify data without exposing raw store access.

How to use

You connect to this MCP server from your MCP client and call its available tools to fetch data from your Shopify store. The two built-in tools are get-product-list and get-customer-list. You can specify an optional limit to control how many records are returned in a single response.

How to install

# prerequisites
- Python 3.12 or higher
- A Shopify store with API access
- Shopify API credentials (API Key, Password, and Access Token)

Clone the project repository, install dependencies in a virtual environment, and prepare the environment to run locally.

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

uv pip install -e .

Configuration

Set up your Shopify credentials in a configuration file so the server can access the store data. Create a .env file in the root directory with your Shopify credentials as shown.

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

Running the server

Start the MCP server so your MCP client can begin querying data. Use the Python module invocation shown.

python -m shopify_mcp_server.server

Security and best practices

Keep your credentials secure at all times. Do not commit the .env file to version control. Use environment variables to manage sensitive information and rotate credentials regularly.

Notes

The server exposes two tools for data retrieval. The get-product-list tool returns a list of products from your Shopify store with an optional limit parameter to control the number of results. The get-customer-list tool returns a list of customers with an optional limit parameter as well.

Available tools

get_product_list

Retrieve a list of products from your Shopify store with an optional limit to cap the number of products returned.

get_customer_list

Retrieve a list of customers from your Shopify store with an optional limit to cap the number of customers returned.

Built by

VeilStrat

AI signals for GTM teams