Shopify MCP Server
MCP server that connects Claude to Shopify stores, enabling natural language queries and actions on products, orders, customers, inventory, and sales analytics. Includes a demo mode with bundled fixtures for trying tools without credentials.
README
Shopify MCP Server
Connect Claude to your Shopify store. This Model Context Protocol server gives Claude Code and Claude Desktop safe, structured access to products, orders, customers, inventory and sales analytics — so you can ask things like:
"Which orders from last week are still unfulfilled?" "Summarize June sales and tell me my top 5 products." "Set the M-size Summit Leggings stock to 40."
It ships with a complete demo store (Aurora Athletics — 30 products, 60 orders, 25 customers), so you can try every tool in under a minute with zero credentials, then point it at a real store when you're ready.
Tools
| Tool | Type | What it does |
|---|---|---|
search_products |
read | Keyword search across titles, handles, types, vendors, tags and SKUs |
get_product |
read | Full product detail by id or handle: variants, SKUs, prices, live inventory |
list_orders |
read | Recent orders with status filter (any/open/closed/cancelled) and date range |
get_order |
read | One order in full: line items, totals breakdown, payment/fulfillment status, tracking numbers |
get_customer |
read | Customer profile by email or id, with lifetime stats and recent order history |
update_inventory |
write | Set a variant's available quantity (absolute); reports previous value so changes are reversible |
sales_summary |
read | Revenue, refunds, order count, AOV, best day and top products for any date range |
top_customers |
read | Customers ranked by net spend for any date range, with order counts and last-order dates |
Architecture
flowchart LR
Claude["Claude Code /<br/>Claude Desktop"] <-- "MCP over stdio" --> Server["shopify-mcp-server<br/>(8 tools, zod-validated)"]
Server --> Iface{{"StoreBackend<br/>interface"}}
Iface --> Demo["DemoBackend<br/>bundled fixtures,<br/>in-memory writes"]
Iface --> Live["ShopifyBackend<br/>rate-limit aware<br/>REST client"]
Live -- "Admin REST API<br/>(HTTPS + access token)" --> Shopify["Shopify"]
Both backends implement one StoreBackend interface, so every tool — including the sales_summary aggregation pipeline — behaves identically against fixtures and against a live store. The live client retries HTTP 429s (honoring Retry-After) and transient 5xx/network errors with exponential backoff, and follows Shopify's cursor pagination for analytics windows.
Quickstart (demo mode, no credentials)
Requires Node.js 20+.
git clone https://github.com/sahididrishi/shopify-mcp-server.git && cd shopify-mcp-server
npm install
npm run build
Add it to Claude Code:
claude mcp add shopify -- node /absolute/path/to/shopify-mcp-server/dist/index.js
Or to Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"shopify": {
"command": "node",
"args": ["/absolute/path/to/shopify-mcp-server/dist/index.js"]
}
}
}
Then just ask Claude: "Search the store for leggings" or "Give me a sales summary for the last 30 days."
With no Shopify credentials configured, the server automatically serves the fictional Aurora Athletics activewear store. Every tool is fully functional: analytics are computed from 60 realistic orders whose dates are rebased at startup, so the demo store always looks like it traded over the last 90 days. Inventory writes are held in memory and reset on restart — nothing touches the network.
Try it without Claude
npm run try-it
Spawns the built server as a real subprocess, connects an MCP client over stdio, and exercises search_products, get_order, get_customer and sales_summary with pretty-printed output. Exits non-zero on any failure, so it doubles as an integration test.
Connecting a real Shopify store
- In your Shopify admin, go to Settings → Apps and sales channels → Develop apps and click Create an app (enable custom app development if prompted).
- Under Configuration → Admin API integration, grant scopes:
read_products,read_orders,read_customers,read_inventorywrite_inventory— only if you want theupdate_inventorytool to work; omit it for a read-only server
- Under API credentials, click Install app, then reveal and copy the Admin API access token (starts with
shpat_). Shopify shows it once — store it safely. - Configure the server via environment variables (see
.env.example):
claude mcp add shopify \
--env SHOPIFY_STORE_DOMAIN=your-store.myshopify.com \
--env SHOPIFY_ACCESS_TOKEN=shpat_xxxxxxxxxxxxxxxx \
-- node /absolute/path/to/shopify-mcp-server/dist/index.js
| Variable | Required | Description |
|---|---|---|
SHOPIFY_STORE_DOMAIN |
for live mode | The *.myshopify.com domain (not your custom storefront domain) |
SHOPIFY_ACCESS_TOKEN |
for live mode | Custom app Admin API access token (shpat_...) |
SHOPIFY_API_VERSION |
no | Admin API version, defaults to 2026-04 |
If neither of the first two is set, the server runs in demo mode. If only one is set, it exits with a clear error rather than silently serving demo data.
Security notes
- Your token never leaves your machine. The server runs locally, speaks to Claude over stdio (no listening ports), and sends the token only to
https://<your-store>.myshopify.com. - Scope to what you need. Grant read-only scopes and the server is physically incapable of modifying your store —
update_inventorywill return a clear 403 explanation instead. - One deliberate write path.
update_inventoryis the only mutating tool, it is labelledWRITE OPERATIONin its description so Claude treats it accordingly, and it echoes the previous quantity so any change can be reversed. - Keep
.envfiles out of version control (.gitignorehere already does).
Development
npm test # vitest: 44 unit + end-to-end tool tests, no network
npm run build # tsc + fixture copy
npm run try-it # integration smoke test against the built server
npm run generate-fixtures # regenerate the demo store (seeded, deterministic)
The test suite drives the real MCP server through an in-memory client/server transport pair and pins the demo backend's reference date, so aggregation math in sales_summary is asserted against exact known-good figures.
Project layout
src/
index.ts entry point: backend selection + stdio transport
server.ts MCP server: tool registration, schemas, error mapping
backend.ts StoreBackend interface shared by both backends
backends/
shopify.ts live Admin REST API client (retry, pagination, mapping)
demo.ts fixture-backed store with date rebasing
analytics.ts pure sales aggregation (unit tested)
format.ts markdown rendering for tool output
fixtures/ Aurora Athletics demo data (JSON)
scripts/
try-it.ts stdio integration demo
generate-fixtures.ts deterministic fixture generator
tests/ vitest suites
License
MIT © 2026 Sahid Idrishi
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。