This MCP facilitates seamless integration with Shopify Storefront API, allowing AI assistants to query product, collection, inventory, and customer data, manage carts, and execute GraphQL mutations. It supports automatic token validation, easy setup, and offers resources for customer data management, enabling personalized shopping experiences and efficient store management.
Added on:
Created by:
Apr 26 2025
This MCP facilitates seamless integration with Shopify Storefront API, allowing AI assistants to query product, collection, inventory, and customer data, manage carts, and execute GraphQL mutations. It supports automatic token validation, easy setup, and offers resources for customer data management, enabling personalized shopping experiences and efficient store management.
Added on:
Created by:
Apr 26 2025
QuentinCody
Featured
What is Shopify Storefront MCP Server?
The Shopify Storefront MCP Server provides a robust API interface to Shopify's storefront data through MCP, enabling AI assistants to perform complex operations such as product listings, inventory checks, cart management, and order creation. It supports executing GraphQL queries and mutations, handling authentication tokens automatically, and managing customer information securely. Its flexible design allows storefronts to improve user engagement, streamline checkout processes, and facilitate personalized marketing. The server's setup involves cloning the repository, installing dependencies, configuring environment variables with Shopify tokens, and running the server. Targeted at developers, store owners, and AI integrators, it simplifies the integration process and enhances storefront capabilities.
Who will use Shopify Storefront MCP Server?
- Developers
- Shopify store owners
- AI system integrators
How to use the Shopify Storefront MCP Server?
- Step1: Clone the repository
- Step2: Install dependencies with 'pip install -r requirements.txt'
- Step3: Configure environment variables in .env file
- Step4: Generate and add your Shopify Storefront API token
- Step5: Run the server using 'python shopify_storefront_mcp_server.py'
- Step6: Use the exposed MCP tools for product, customer, and cart management
Shopify Storefront MCP Server's Core Features & Benefits
The Core Features
- Access product, collection, and inventory data
- Cart creation and management
- Support for GraphQL queries and mutations
- Automatic token handling and validation
- Customer data management and privacy protection
The Benefits
- Enables seamless Shopify data access for AI
- Streamlines checkout and cart management
- Simplifies customer data handling
- Supports customization and personalization
- Enhances storefront integration and automation
Shopify Storefront MCP Server's Main Use Cases & Applications
- AI-powered storefront management
- Automated customer personalization
- Enhanced shopping cart and checkout automation
- Order and inventory management integration
- Customer data personalization for marketing
FAQs of Shopify Storefront MCP Server
Developer
- QuentinCody
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Customer Data Platforms
A server that provides structured access to Zammad ticketing and user data via API for automation.
A server providing comprehensive Zendesk integration for ticket, comment, community, and knowledge base management.
Server using MCP to access Relation API for customer management, ticket updates, email, and templates.
A comprehensive server facilitating management of Klaviyo profiles, lists, campaigns, flows, and more via API.
A server for WooCommerce Multi-Channel Promotion (MCP) management to facilitate promotions and campaigns.
A MCP server to integrate HubSpot CRM with AI assistants, enabling contact and company management, activity tracking, and engagement retrieval.
Streamlines integrating existing MCP server into Hubspot database for efficient data management and automation.
An MCP server that integrates with Freshdesk, enabling AI models to interact and automate support tasks efficiently.
A model context protocol server integrating Cursor AI and Glama.ai for real-time AI-powered customer support.
A customizable server for managing and automating sales processes with integrated data analysis features.