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Shopify MCP Server

Shopify MCP Server

Local
github.com/saraydBusiness & Marketing0Updated 86w ago

About Shopify MCP Server

Shopify MCP Server connects AI agents to Shopify stores through the Shopify API. It provides product-management tools, store data resources, and prompt templates for common operations.

Key features

  1. 01Shopify API integration
  2. 02Product management tools
  3. 03Store data resources
  4. 04Prompt templates

Use cases

  1. 01Manage products in a Shopify store
  2. 02Access store data through an AI agent
  3. 03Use templates for common store operations

MCP support

This MCP server exposes Shopify API integration to MCP clients through tools, resources, and prompt templates.

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

This is a Model Context Protocol (MCP) server that provides integration with the Shopify API. It allows AI agents to interact with Shopify stores through a standardized protocol.

Features

  • Shopify API integration
  • MCP-compliant server implementation
  • Tools for product management
  • Resource access for store data
  • Prompt templates for common operations

Setup

  1. Install dependencies:
npm install
  1. Create a .env file with your Shopify credentials:
SHOPIFY_SHOP_NAME=your-shop-name
SHOPIFY_ACCESS_TOKEN=your-access-token
  1. Build the project:
npm run build
  1. Start the server:
npm start

Development

Run in development mode with hot reloading:

npm run dev

Run tests:

npm test

License

MIT

Comments

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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.