shopify-reports-mcp

shopify-reports-mcp

Enables AI agents to query Shopify analytics with ShopifyQL via the Admin GraphQL endpoint, executing queries and interpreting results like 'show me the products with the highest margins'.

Category
访问服务器

README

shopify-reports-mcp

An MCP server that lets AI agents query Shopify analytics with ShopifyQL via the Admin GraphQL shopifyqlQuery endpoint. Ask your agent "show me the products with the highest margins" — it writes the ShopifyQL, runs it through this server, and interprets the results.

Tools

  • query_shopify — executes a ShopifyQL query, returns { columns, rows } as JSON. Parse errors come back as error results so the agent can self-correct and retry.
  • shopifyql_reference — returns the bundled ShopifyQL reference (syntax, schemas, columns, examples). Also exposed as the MCP resource shopifyql://reference.

Shopify prerequisites

  1. Create an app in your organization's Dev Dashboard (the client-credentials grant only works for org-owned apps installed on stores your org owns).
  2. Grant it the read_reports access scope (plus customer-data access if you want to query customer PII columns).
  3. Install the app on your store and note the Client ID and Client Secret.

Access tokens are exchanged automatically and cached for their full 24-hour lifetime.

Running

Via npx (no clone needed)

Run straight from GitHub — npm clones, builds, and caches the package on first use:

# stdio mode
npx --yes github:mvacha/shopify-reports-mcp --stdio \
  --shop yourstore.myshopify.com \
  --client-id <client id> \
  --client-secret <client secret>

# HTTP mode
npx --yes github:mvacha/shopify-reports-mcp --http --port 3000

Claude Code one-liner:

claude mcp add shopify-reports -- npx --yes github:mvacha/shopify-reports-mcp --stdio \
  --shop yourstore.myshopify.com --client-id <client id> --client-secret <client secret>

Claude Desktop config (claude_desktop_config.json):

{
  "mcpServers": {
    "shopifyReports": {
      "command": "npx",
      "args": [
        "--yes",
        "github:mvacha/shopify-reports-mcp",
        "--stdio",
        "--shop", "yourstore.myshopify.com",
        "--client-id", "<client id>",
        "--client-secret", "<client secret>"
      ]
    }
  }
}

HTTP mode (primary)

npm install && npm run build
node dist/index.js --http --port 3000

Clients authenticate by sending their Shopify credentials with every request:

{
  "mcpServers": {
    "shopify-reports": {
      "type": "http",
      "url": "http://your-host:3000/mcp",
      "headers": {
        "X-Shopify-Shop": "yourstore.myshopify.com",
        "X-Shopify-Client-Id": "<client id>",
        "X-Shopify-Client-Secret": "<client secret>"
      }
    }
  }
}

Or with the Claude Code CLI:

claude mcp add --transport http shopify-reports http://your-host:3000/mcp \
  --header "X-Shopify-Shop: yourstore.myshopify.com" \
  --header "X-Shopify-Client-Id: <client id>" \
  --header "X-Shopify-Client-Secret: <client secret>"

Requests without all three headers are rejected with 401. The server is stateless and multi-tenant: different clients can point it at different stores.

stdio mode (local testing)

{
  "mcpServers": {
    "shopify-reports": {
      "command": "node",
      "args": [
        "/path/to/shopify-reports-mcp/dist/index.js",
        "--stdio",
        "--shop", "yourstore.myshopify.com",
        "--client-id", "<client id>",
        "--client-secret", "<client secret>"
      ]
    }
  }
}

The SHOPIFY_SHOP, SHOPIFY_CLIENT_ID and SHOPIFY_CLIENT_SECRET environment variables work as fallbacks for the CLI flags.

Development

npm test        # vitest unit tests (mocked Shopify API)
npm run dev     # run from source with tsx
npm run build   # compile to dist/

Design doc: docs/superpowers/specs/2026-07-21-shopify-reports-mcp-design.md.

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选