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Shopify Python MCP Server

Shopify Python MCP Server

Shopify Python MCP Server

This is an MCP server that works with the Shopify API. By using this server, you can retrieve and manipulate Shopify product information from Claude Desktop.

function

tool

The server provides the following tools:

  1. list_products : Get a list of products

    • limit : Number of items to retrieve (maximum 250, default value 50)

  2. get_product : Get detailed product information

    • product_id : Product ID (required)

  3. create_product : Create a new product

    • title : Product name (required)

    • body_html : Product description (HTML format)

    • vendor : Vendor name

    • product_type : Product type

    • tags : tags (comma separated)

    • status : Status (active/draft/archived)

    • variants

    • options : options

    • images : Images

  4. update_product : Update a product

    • product_id : Product ID (required)

    • title : Product name

    • body_html : Product description (HTML format)

    • vendor : Vendor name

    • product_type : Product type

    • tags : tags (comma separated)

    • status : Status (active/draft/archived)

    • variants

    • options : options

    • images : Images

  5. delete_product : Delete a product

    • product_id : Product ID (required)

Related MCP server: Shopify MCP Server by CData

setting

Required Environment Variables

To use this server, you must set the following environment variables:

  • SHOPIFY_SHOP_URL : Your Shopify store URL (e.g. mystore.myshopify.com)

  • SHOPIFY_API_KEY : Shopify Admin API key

  • SHOPIFY_API_PASSWORD : Shopify Admin API password (Secret)

  • SHOPIFY_API_VERSION : Shopify API version (default: 2023-10)

Claude Desktop settings

If you are using Claude Desktop, add the following settings to claude_desktop_config.json:

macOS

Configuration file location: ~/Library/Application Support/Claude/claude_desktop_config.json

"mcpServers": {
  "shopify-py-mcp": {
    "command": "uv",
    "args": [
      "--directory",
      "/your_path/shopify-py-mcp",
      "run",
      "shopify-py-mcp"
    ],
    "env": {
      "SHOPIFY_SHOP_URL": "your-store.myshopify.com",
      "SHOPIFY_API_KEY": "your-api-key",
      "SHOPIFY_API_PASSWORD": "your-api-password",
      "SHOPIFY_API_VERSION": "2023-10"
    }
  }
}

How to use

To use this server with Claude Desktop, call the tool as follows:

Get product list

商品一覧を取得してください。

Get detailed product information

商品ID 1234567890の詳細情報を取得してください。

Creating a new product

以下の情報で新しい商品を作成してください:
- 商品名: サンプル商品
- 説明: これはサンプル商品です。
- 価格: 1000円

Product Updates

商品ID 1234567890を以下の情報で更新してください:
- 商品名: 更新後の商品名
- 価格: 2000円

Remove a product

商品ID 1234567890を削除してください。

development

Installing dependencies

cd shopify-py-mcp
uv sync --dev --all-extras

debug

You can debug using MCP Inspector:

npx @modelcontextprotocol/inspector uv --directory /your_path/shopify-py-mcp run shopify-py-mcp

Build and publish

To prepare a package for distribution:

  1. Sync dependencies and update lock files:

uv sync
  1. Build the package:

uv build
  1. Published to PyPI:

uv publish

Note: You will need to set your PyPI credentials via environment variables or command flags:

  • Token: --token or UV_PUBLISH_TOKEN

  • Or username/password: --username / UV_PUBLISH_USERNAME and --password / UV_PUBLISH_PASSWORD

Available Tools

5 tools
create_productC

新しい商品を作成する

Inputs: title (required), body_html, images, options, +5 more.

delete_productC

商品を削除する

Inputs: product_id (required).

get_productC

商品の詳細情報を取得する

Inputs: product_id (required).

list_productsC

商品一覧を取得する

Inputs: limit.

update_productC

商品を更新する

Inputs: product_id (required), body_html, images, options, +6 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.3/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose targeting different CRUD operations on products: create, delete, get, list, and update. There is no overlap or ambiguity between these operations, making tool selection straightforward for an agent.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (e.g., create_product, delete_product) with snake_case throughout. The naming is predictable and uniform across all five tools, enhancing readability and usability.

    Tool Count5/5

    With 5 tools, this server is well-scoped for product management in Shopify, covering essential CRUD operations. Each tool earns its place without being overly sparse or bloated, fitting typical expectations for such a domain.

    Completeness5/5

    The tool set provides complete CRUD coverage for products (create, read, update, delete, and list), with no obvious gaps. This allows agents to handle the full lifecycle of products without dead ends, making the surface comprehensive for the stated purpose.

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