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Manage your Shopify store via AI assistant with OpenAI and MCP server

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Who it's for

This n8n workflow is designed for Shopify store owners and e-commerce managers who want to automate their store operations through an intelligent AI assistant. The workflow creates a conversational interface that can manage products, process orders, and provide store analytics through natural language commands.

Features

  • Intelligent AI Assistant: Powered by OpenAI with specialized system prompts for e-commerce operations
  • Shopify Integration: Complete MCP (Model Context Protocol) server implementation for seamless Shopify operations
  • Product Management: Create, update, search, retrieve, and delete products automatically
  • Order Processing: Create, update, retrieve, and manage orders including fulfillment status
  • Context-Aware Automation: Uses conversation history and Shopify data to minimize user input requirements

Requirements

  • Shopify Access Token: For accessing Shopify store data and operations
  • OpenAI API Credentials: For powering the AI assistant
  • Notification Service Credentials:
    Discord Bot API, Telegram Bot API, Rapiwa API (for WhatsApp), Gmail OAuth2

Configure Credentials

  • Shopify Access Token: Configure with proper permissions for your store
  • OpenAI API: Set up with appropriate model access (gpt-4.1-mini or similar)
  • Notification Services: Configure each service with proper API keys and target IDs

Important Notes

  • MCP Server Setup: The workflow includes a Shopify MCP Server that must be properly configured for production use
  • Tool Selection: The MCP Client includes specific Shopify tools that can be enabled/disabled based on requirements
  • System Prompt: The AI assistant is configured with specialized e-commerce guidelines that can be customized
  • Confirmation Requirements: Irreversible actions like deletions will require confirmation
  • Rate Limiting: The workflow includes appropriate delays to prevent API rate limiting
  • Notification Content: All notifications include a standard success message that can be customized

Production Deployment for MCP Server

To deploy this workflow in production

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