developer-tools

Shopify

geli2001

by geli2001

Bridge your workflow to Shopify using the Shopify API for seamless product, order, and customer management—all via the S

Bridges to the Shopify GraphQL Admin API, enabling product searches, customer information retrieval, order management, and inventory updates without leaving your workflow.

github stars

143

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Direct GraphQL Admin API integrationComprehensive error handling

best for

  • / E-commerce store owners managing inventory
  • / Developers building Shopify integrations
  • / Customer service teams accessing order data
  • / Marketing teams analyzing product collections

capabilities

  • / Search and retrieve product information
  • / Manage customer data and tags
  • / Query and filter orders
  • / Get products by collection or ID
  • / Retrieve product variants
  • / Execute GraphQL queries against Shopify Admin API

what it does

Connects to your Shopify store's GraphQL API to manage products, customers, orders, and discounts. Enables comprehensive store operations through Claude or other AI assistants.

about

Shopify is a community-built MCP server published by geli2001 that provides AI assistants with tools and capabilities via the Model Context Protocol. Bridge your workflow to Shopify using the Shopify API for seamless product, order, and customer management—all via the S It is categorized under developer tools.

how to install

You can install Shopify in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Shopify is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Shopify MCP Server

(please leave a star if you like!)

MCP Server for Shopify API, enabling interaction with store data through GraphQL API. This server provides tools for managing products, customers, orders, and more.

📦 Package Name: shopify-mcp 🚀 Command: shopify-mcp (NOT shopify-mcp-server)

<a href="https://glama.ai/mcp/servers/@GeLi2001/shopify-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@GeLi2001/shopify-mcp/badge" alt="Shopify MCP server" /> </a>

Features

  • Product Management: Full CRUD for products, variants, and options
  • Customer Management: Load customer data and manage customer tags
  • Order Management: Advanced order querying and filtering
  • GraphQL Integration: Direct integration with Shopify's GraphQL Admin API
  • Comprehensive Error Handling: Clear error messages for API and authentication issues

Prerequisites

  1. Node.js (version 18 or higher)
  2. A Shopify store with a custom app (see setup instructions below)

Setup

Authentication

This server supports two authentication methods:

Option 1: Client Credentials (Dev Dashboard apps, January 2026+)

As of January 1, 2026, new Shopify apps are created in the Dev Dashboard and use OAuth client credentials instead of static access tokens.

  1. From your Shopify admin, go to Settings > Apps and sales channels
  2. Click Develop apps > Build app in dev dashboard
  3. Create a new app and configure Admin API scopes:
    • read_products, write_products
    • read_customers, write_customers
    • read_orders, write_orders
  4. Install the app on your store
  5. Copy your Client ID and Client Secret from the app's API credentials

The server will automatically exchange these for an access token and refresh it before it expires (tokens are valid for ~24 hours).

Option 2: Static Access Token (legacy apps)

If you have an existing custom app with a static shpat_ access token, you can still use it directly.

Usage with Claude Desktop

Client Credentials (recommended):

{
  "mcpServers": {
    "shopify": {
      "command": "npx",
      "args": [
        "shopify-mcp",
        "--clientId",
        "<YOUR_CLIENT_ID>",
        "--clientSecret",
        "<YOUR_CLIENT_SECRET>",
        "--domain",
        "<YOUR_SHOP>.myshopify.com"
      ]
    }
  }
}

Static Access Token (legacy):

{
  "mcpServers": {
    "shopify": {
      "command": "npx",
      "args": [
        "shopify-mcp",
        "--accessToken",
        "<YOUR_ACCESS_TOKEN>",
        "--domain",
        "<YOUR_SHOP>.myshopify.com"
      ]
    }
  }
}

Locations for the Claude Desktop config file:

  • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json

Usage with Claude Code

Client Credentials:

claude mcp add shopify -- npx shopify-mcp \
  --clientId YOUR_CLIENT_ID \
  --clientSecret YOUR_CLIENT_SECRET \
  --domain your-store.myshopify.com

Static Access Token (legacy):

claude mcp add shopify -- npx shopify-mcp \
  --accessToken YOUR_ACCESS_TOKEN \
  --domain your-store.myshopify.com

Alternative: Run Locally with Environment Variables

If you prefer to use environment variables instead of command-line arguments:

  1. Create a .env file with your Shopify credentials:

    Client Credentials:

    SHOPIFY_CLIENT_ID=your_client_id
    SHOPIFY_CLIENT_SECRET=your_client_secret
    MYSHOPIFY_DOMAIN=your-store.myshopify.com
    

    Static Access Token (legacy):

    SHOPIFY_ACCESS_TOKEN=your_access_token
    MYSHOPIFY_DOMAIN=your-store.myshopify.com
    
  2. Run the server with npx:

    npx shopify-mcp
    

Direct Installation (Optional)

If you want to install the package globally:

npm install -g shopify-mcp

Then run it:

shopify-mcp --clientId=<ID> --clientSecret=<SECRET> --domain=<YOUR_SHOP>.myshopify.com

Additional Options

  • --apiVersion: Specify the Shopify API version (default: 2026-01). Can also be set via SHOPIFY_API_VERSION environment variable.

⚠️ Important: If you see errors about "SHOPIFY_ACCESS_TOKEN environment variable is required" when using command-line arguments, you might have a different package installed. Make sure you're using shopify-mcp, not shopify-mcp-server.

Available Tools

Product Management

  1. get-products

    • Get all products or search by title
    • Inputs:
      • searchTitle (optional string): Filter products by title
      • limit (number): Maximum number of products to return
  2. get-product-by-id

    • Get a specific product by ID
    • Inputs:
      • productId (string): ID of the product to retrieve
  3. create-product

    • Create a new product. When using productOptions, Shopify registers all option values but only creates one default variant (first value of each option, price $0). Use manage-product-variants with strategy: REMOVE_STANDALONE_VARIANT afterward to create all real variants with prices.
    • Inputs:
      • title (string, required): Title of the product
      • descriptionHtml (string, optional): Description with HTML
      • handle (string, optional): URL slug. Auto-generated from title if omitted
      • vendor (string, optional): Vendor of the product
      • productType (string, optional): Type of the product
      • tags (array of strings, optional): Product tags
      • status (string, optional): "ACTIVE", "DRAFT", or "ARCHIVED". Default "DRAFT"
      • seo (object, optional): { title, description } for search engines
      • metafields (array of objects, optional): Custom metafields (namespace, key, value, type)
      • productOptions (array of objects, optional): Options to create inline, e.g. [{ name: "Size", values: [{ name: "S" }, { name: "M" }] }]. Max 3 options.
      • collectionsToJoin (array of strings, optional): Collection GIDs to add the product to
  4. update-product

    • Update an existing product's fields
    • Inputs:
      • id (string, required): Shopify product GID
      • title (string, optional): New title
      • descriptionHtml (string, optional): New description
      • handle (string, optional): New URL slug
      • vendor (string, optional): New vendor
      • productType (string, optional): New product type
      • tags (array of strings, optional): New tags (overwrites existing)
      • status (string, optional): "ACTIVE", "DRAFT", or "ARCHIVED"
      • seo (object, optional): { title, description } for search engines
      • metafields (array of objects, optional): Metafields to set or update
      • collectionsToJoin (array of strings, optional): Collection GIDs to add the product to
      • collectionsToLeave (array of strings, optional): Collection GIDs to remove the product from
      • redirectNewHandle (boolean, optional): If true, old handle redirects to new handle
  5. delete-product

    • Delete a product
    • Inputs:
      • id (string, required): Shopify product GID
  6. manage-product-options

    • Create, update, or delete product options (e.g. Size, Color)
    • Inputs:
      • productId (string, required): Shopify product GID
      • action (string, required): "create", "update", or "delete"
      • For action: "create":
        • options (array, required): Options to create, e.g. [{ name: "Size", values: ["S", "M", "L"] }]
      • For action: "update":
        • optionId (string, required): Option GID to update
        • name (string, optional): New name for the option
        • position (number, optional): New position
        • valuesToAdd (array of strings, optional): Values to add
        • valuesToDelete (array of strings, optional): Value GIDs to remove
      • For action: "delete":
        • optionIds (array of strings, required): Option GIDs to delete
  7. manage-product-variants

    • Create or update product variants in bulk
    • Inputs:
      • productId (string, required): Shopify product GID
      • strategy (string, optional): How to handle the default variant when creating. "DEFAULT" (removes "Default Title" automatically), "REMOVE_STANDALONE_VARIANT" (recommended for full control), or "PRESERVE_STANDALONE_VARIANT"
      • variants (array, required): Variants to create or update. Each variant:
        • id (string, optional): Variant GID for updates. Omit to create new
        • price (string, optional): Price, e.g. "49.00"
        • compareAtPrice (string, optional): Compare-at price for showing discounts
        • sku (string, optional): SKU (mapped to inventoryItem.sku)
        • tracked (boolean, optional): Whether inventory is tracked. Set false for print-on-demand
        • taxable (boolean, optional): Whether the variant is taxable
        • barcode (string, optional): Barcode
        • optionValues (array, optional): Option values, e.g. [{ optionName: "Size", name: "A4" }]
  8. delete-product-variants

    • Delete one or more variants from a product
    • Inputs:
      • productId (string, required): Shopify product GID
      • variantIds (array of strings, required): Variant GIDs to delete

Customer Management

  1. get-customers

    • Get customers or search by name/email
    • Inputs:
      • searchQuery (optional string): Filter customers by name or email
      • limit (optional number, default: 10): Maximum number of customers to return
  2. update-customer

    • Update a customer's information
    • Inputs:
      • id (string, required): Shopify customer ID (numeric ID only, like "6276879810626")
      • firstName (string, optional): Customer's first name
      • lastName (string, optional): Customer's last name
      • email (string, optional): Customer's email address
      • phone (string, optional): Customer's phone number
      • tags (array of strings, optional): Tags to apply to the cus

FAQ

What is the Shopify MCP server?
Shopify is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Shopify?
This profile displays 34 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.534 reviews
  • Lucas Tandon· Dec 24, 2024

    I recommend Shopify for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • William Chawla· Dec 20, 2024

    According to our notes, Shopify benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Dhruvi Jain· Dec 12, 2024

    Shopify is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Noor Diallo· Dec 4, 2024

    Shopify has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Evelyn Gonzalez· Dec 4, 2024

    Useful MCP listing: Shopify is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Kabir Abbas· Nov 23, 2024

    Shopify is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Anaya Verma· Nov 15, 2024

    We evaluated Shopify against two servers with overlapping tools; this profile had the clearer scope statement.

  • Oshnikdeep· Nov 3, 2024

    Useful MCP listing: Shopify is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Ganesh Mohane· Oct 22, 2024

    Shopify reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Kabir Choi· Oct 14, 2024

    We wired Shopify into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

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