@lofder/dsers-mcp-product

v1.3.5

Published

39 minutes ago

MCP server to automate DSers product import from AliExpress/Alibaba/Accio to Shopify & Wix

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lofder

mcp mcp-server model-context-protocol dsers shopify aliexpress dropshipping product-import ai-agent bulk-import wix woocommerce

DSers MCP Product — Automate Dropshipping AI tools/AliExpress to Shopify & Wix Import

An open-source MCP server to automate DSers product import, bulk edit variants, and push to Shopify or Wix using AI.

English | 中文

English

⚠️ Rapid iteration phase: I only have limited DSers accounts and stores to test with, so it's hard to cover every edge case. I'm testing as many scenarios as I can, fixing issues as I find them — though fixes sometimes introduce new ones. Releases will be very frequent during this period. Please always use the latest version, and I'd really appreciate it if you could help me test!

DSers MCP Product is an open-source MCP (Model Context Protocol) server that lets AI Agents automate the entire DSers import workflow — from AliExpress / Alibaba / Accio.com product URL to Shopify or Wix store listing. Bulk import, batch edit variants, clean AliExpress titles, apply pricing rules, and push to multiple stores — all with a single sentence to your AI agent.

What can it do?

One-click import — paste a product link, your AI agent imports it into DSers automatically
Clean up titles — strips the messy keyword-stuffed AliExpress titles into something readable
Pricing rules — markup multiplier (e.g. 2.5x), fixed markup (e.g. +$5), compare-at / sale prices
Batch import — import multiple products at once with a list of URLs
Multi-store push — push one product to all your connected Shopify & Wix stores in one go
Safety checks — automatically blocks pushes that would result in below-cost pricing, zero price, or zero stock
SEO optimization — let AI rewrite the title and description for better search rankings before pushing

The server is hosted on Vercel and published across multiple platforms:

Available On

| Platform | Link | |----------|------| | npm | npmjs.com/package/@lofder/dsers-mcp-product | | MCP Registry (Official) | registry.modelcontextprotocol.io | | Smithery | smithery.ai/server/@dsersx/product-mcp | | Glama.ai | glama.ai/mcp/servers/lofder/dsers-mcp-product | | mcp.so | mcp.so/server/dsers-mcp-product | | mcpservers.org | mcpservers.org | | MCP Marketplace | mcp-marketplace.io | | awesome-mcp-servers | punkpeye/awesome-mcp-servers | | Dev.to | Article: I Built an MCP Server to Automate Dropshipping |

Supported product sources

Works with product links from AliExpress, Alibaba.com, and Accio.com. Just give your AI agent a product link from any of these platforms, and it will import the product into DSers and push it to your store. (1688.com links are also recognized but require your DSers account to have 1688 source authorization enabled.)

Accio.com — AI-powered product sourcing

Accio.com is Alibaba's AI sourcing assistant. You describe what you're looking for (e.g. "wireless earbuds under $5"), and it searches AliExpress & Alibaba for you.

How to use it with DSers MCP:

Go to accio.com and search for products in natural language.
Browse the results. When you find a product you like, click on it to open the product detail panel.
Copy the URL from your browser address bar — it will look something like: https://www.accio.com/c/xxx?productId=1005009871053792&ds=aliexpress.com
Give that link to your AI agent, e.g.: "Import this product and push to my store: [paste URL]"
The agent handles the rest — no extra setup needed.

This works for both AliExpress and Alibaba products found on Accio.

Documentation

| Document | Description | |----------|-------------| | ARCHITECTURE.md | Three-layer architecture, directory structure, data flow | | USAGE.md | Installation, client config (Cursor, Claude Desktop), scenario examples | | SKILL.md | AI agent instruction file — workflow, rules, push options, error handling | | SKILL-CN.md | Chinese human-readable guide for SKILL.md |

What You Need

A DSers account (free plan works)
A Shopify or Wix store already connected in DSers
An MCP-compatible AI client — Cursor, Claude Desktop, Windsurf, or any client that supports MCP

Quick Start

Step 1: Log in (one time — opens your browser)

npx @lofder/dsers-mcp-product login

A browser window opens to the official DSers login page. You log in on DSers's own website — your password never passes through this tool. After login, the session is encrypted and saved locally.

Step 2: Add to your MCP client (no credentials needed)

{
  "mcpServers": {
    "dsers-mcp-product": {
      "command": "npx",
      "args": ["-y", "@lofder/dsers-mcp-product"]
    }
  }
}

That's it. No passwords in config files.

Also listed on the official MCP Registry.

Authentication — Zero-Password Login

Your DSers password never touches this tool. Here's how login works:

You run npx @lofder/dsers-mcp-product login
Your browser opens the official DSers login page
You log in on DSers's own website, as usual
The tool picks up your login session and encrypts it locally
Done — from now on, the MCP server just works. No passwords in any config file.

Works with Chrome, Edge, Brave, and other Chromium browsers. On Mac, Safari works too.

Sessions last about 6 hours. When it expires, your AI agent will ask you to run login again — takes 10 seconds.

Switching accounts?

npx @lofder/dsers-mcp-product logout
npx @lofder/dsers-mcp-product login

For developers: The server also accepts a DSERS_TOKEN env var for headless/CI environments. For most users, just use login.

Usage Examples

Once set up, just talk to your AI agent in plain language:

"Import this product and push to my Shopify store as a draft: https://www.aliexpress.com/item/1005006372921430.html"

"Import this product, mark up the price by 2.5x, and push it: https://www.aliexpress.com/item/1005006372921430.html"

"Batch import these 3 products and push them all to my store: [URL1] [URL2] [URL3]"

"Push this product to all my connected stores"

"Rewrite the title and description for SEO, then push to my store"

The agent figures out the right tools to call. You don't need to know tool names or parameters.

Install via Smithery

npx @smithery/cli mcp add @dsersx/product-mcp --client cursor

Or browse at smithery.ai/server/@dsersx/product-mcp.

Install from Source

# Clone
git clone https://github.com/lofder/dsers-mcp-product.git
cd dsers-mcp-product

# Install
npm install

# Configure (copy and fill in your DSers credentials)
cp .env.example .env

# Type check
npx tsc --noEmit

# Run with Smithery dev
npx @smithery/cli dev ./src/index.ts

Project Structure

dsers-mcp-product/
├── src/
│   ├── index.ts              # MCP server entry — tool registration
│   ├── service.ts            # Import flow orchestration (7 operations)
│   ├── provider.ts           # DSers API adapter
│   ├── rules.ts              # Rule validation & application engine
│   ├── push-options.ts       # Push option normalization
│   ├── resolver.ts           # URL normalization (AliExpress/Alibaba/Accio)
│   ├── job-store.ts          # File-based job persistence
│   └── dsers/                # Low-level DSers API wrappers
│       ├── config.ts         # Configuration & environment
│       ├── auth.ts           # Login, session cache, auto-refresh
│       ├── client.ts         # Authenticated HTTP client
│       ├── account.ts        # Store & user management APIs
│       ├── product.ts        # Import list & push APIs
│       └── settings.ts       # Shipping, pricing, billing APIs
├── test/                     # Smoke tests
├── smithery.yaml             # Smithery runtime config
├── package.json
├── tsconfig.json
└── .env.example

Nine Tools

| # | Tool | What it does | |---|------|-------------| | 1 | dsers_store_discover | See your connected stores, available shipping methods, pricing rules, and what rules you can apply | | 2 | dsers_rules_validate | Test your pricing or title rules before applying — catches mistakes early | | 3 | dsers_product_import | Paste a product URL, optionally apply pricing/title rules, and get a preview before pushing | | 4 | dsers_product_preview | Review a product you already imported — title, price, variants, stock at a glance | | 5 | dsers_product_update_rules | Edit pricing, content, images, or variant rules on an already-imported product (incremental merge — no re-import needed) | | 6 | dsers_product_visibility | Set whether the product shows up in your store or stays as a hidden draft | | 7 | dsers_store_push | Send products to your Shopify or Wix store — one at a time, in bulk, or to all stores at once | | 8 | dsers_job_status | Check if a push finished and whether it succeeded | | 9 | dsers_product_delete | Delete a product from the DSers import list (irreversible, requires confirmation) |

All tools return clear error messages so your AI agent knows what went wrong and what to do next — no cryptic error codes.

Pre-Push Safety Checks

Before pushing a product to your store, the tool automatically checks for common mistakes:

Hard blocks (push won't go through): selling below supplier cost, zero sell price, all variants out of stock
Warnings (push goes through, but you'll see a heads-up): profit margin below 10%, stock under 5 units, sell price under $1

If something looks wrong, your AI agent will tell you exactly which variant has the problem and why. If you're sure it's fine, you can override with force_push.

Pricing Rule Conflict Detection

If your DSers store has its own Pricing Rule enabled (basic/standard/advanced), and you also set pricing rules through MCP, the push will be blocked — not just warned. The agent will show two fix options:

Set pricing_rule_behavior='apply_store_pricing_rule' in push options to accept the store's pricing rule
Disable the Pricing Rule in your DSers store settings to use MCP pricing instead

Four Prompts

Ready-made workflows your AI client can use directly:

| Prompt | Description | |--------|-------------| | dsers_workflow_quick-import | Import a single product and push to store as draft | | dsers_workflow_bulk-import | Batch import with pricing multiplier | | dsers_workflow_multi-push | Push one product to all connected stores | | dsers_workflow_seo-optimize | Import, AI-rewrite title & description for SEO, then push |

Environment Variables

| Variable | Required | Description | |----------|----------|-------------| | DSERS_ENV | No | production (default) or test | | DSERS_BASE_URL | No | Override API base URL | | IMPORT_MCP_STATE_DIR | No | Job state directory (default: .state) |

What's Next

Support more store platforms that DSers already connects to (eBay, Wish, etc.)
Smarter pricing rule templates
More granular inventory sync options

Got an idea or feature request? Open an issue — suggestions and contributions from other developers are very welcome.

Also Available

A Python version is available for local stdio deployments.

License

MIT

中文

⚠️ 快速迭代阶段： 我手上只有有限的店铺和 DSers 账号，很难囊括所有场景。我在尽可能测试各种情况下可能出现的问题，发现一个修一个，修的过程中也可能连带引出其他问题，因此近期更新迭代速度会非常快。请时刻关注最新版本，也非常欢迎大家来帮我测试！

DSers MCP Product 是一个开源的 MCP (Model Context Protocol) 服务器，让 AI Agent 自动完成 DSers 的整个商品导入流程 —— 从速卖通 / Alibaba / Accio.com 商品链接到 Shopify 或 Wix 店铺上架。批量导入、批量编辑变体、清理速卖通标题、应用定价规则、推送到多个店铺 —— 只需一句话给你的 AI agent。

能做什么？

一句话导入 — 贴个商品链接，AI 助手自动导入到 DSers
标题清理 — 把速卖通那些关键词堆砌的乱标题整理成人话
定价规则 — 加价倍率（比如 2.5 倍）、固定加价（比如 +5 美金）、划线价
批量导入 — 一次丢一堆链接，全部导入
多店铺推送 — 一个商品一次推到你所有的 Shopify 和 Wix 店铺
安全校验 — 推送前自动拦截低于成本价、零售价为零、库存为零的商品
SEO 优化 — 让 AI 重写标题和描述，提高搜索排名后再推送

服务已托管在 Vercel，并发布到多个平台：

发布平台

| 平台 | 链接 | |------|------| | npm | npmjs.com/package/@lofder/dsers-mcp-product | | MCP Registry（官方） | registry.modelcontextprotocol.io | | Smithery | smithery.ai/server/@dsersx/product-mcp | | Glama.ai | glama.ai/mcp/servers/lofder/dsers-mcp-product | | mcp.so | mcp.so/server/dsers-mcp-product | | mcpservers.org | mcpservers.org | | MCP Marketplace | mcp-marketplace.io | | awesome-mcp-servers | punkpeye/awesome-mcp-servers | | Dev.to | 技术文章：I Built an MCP Server to Automate Dropshipping |

支持的商品来源

支持 速卖通（AliExpress）、Alibaba.com 和 Accio.com 的商品链接。把任意平台的商品链接丢给你的 AI 助手，它就能自动导入 DSers 并上架到你的店铺。（1688 链接也能识别，但需要你的 DSers 账号开通了 1688 来源权限。）

Accio.com — AI 智能找商

Accio.com 是阿里巴巴的 AI 选品助手。你用自然语言描述想找的商品（比如"5 美金以下的蓝牙耳机"），它会帮你在速卖通和阿里巴巴上搜索。

怎么配合 DSers MCP 用：

打开 accio.com，用自然语言搜索你想要的商品。
在搜索结果里浏览，看到感兴趣的商品点击进去看详情。
复制浏览器地址栏的链接，大概长这样： https://www.accio.com/c/xxx?productId=1005009871053792&ds=aliexpress.com
把链接丢给你的 AI 助手，比如说："帮我导入这个商品并上架：[粘贴链接]"
剩下的 AI 助手会自动搞定，不需要任何额外设置。

Accio 上搜出来的速卖通和阿里巴巴商品都能用。

文档

| 文档 | 说明 | |------|------| | ARCHITECTURE.md | 三层架构、目录结构、数据流 | | USAGE.md | 安装、客户端配置（Cursor、Claude Desktop）、使用场景 | | SKILL.md | AI agent 指令文件 — 工作流、规则、推送选项、错误处理 | | SKILL-CN.md | SKILL.md 的中文说明 |

使用前提

一个 DSers 账号（免费版就行）
Shopify 或 Wix 店铺已经在 DSers 里绑定好了
一个支持 MCP 的 AI 客户端 — Cursor、Claude Desktop、Windsurf 或其他支持 MCP 的工具

快速开始

第 1 步：登录（一次性操作，会打开浏览器）

npx @lofder/dsers-mcp-product login

浏览器会自动打开 DSers 官方登录页。你在 DSers 自己的网站上登录 —— 密码完全不经过本工具。登录后 session 加密保存到本地。

第 2 步：添加到你的 MCP 客户端（不需要密码）

{
  "mcpServers": {
    "dsers-mcp-product": {
      "command": "npx",
      "args": ["-y", "@lofder/dsers-mcp-product"]
    }
  }
}

搞定。配置文件里不需要任何密码。

同时已收录到官方 MCP Registry。

授权认证 — 零密码登录

你的 DSers 密码完全不经过本工具。登录过程是这样的：

运行 npx @lofder/dsers-mcp-product login
浏览器自动打开 DSers 官方登录页
你在 DSers 网站上正常登录
工具拿到登录状态，加密存到本地
搞定 — 之后 MCP 直接能用，配置文件里不需要写任何密码

支持 Chrome、Edge、Brave 等主流浏览器。Mac 上 Safari 也行。

登录大约 6 小时有效。 过期了 AI 助手会提醒你重新跑一下 login，10 秒的事。

换账号？

npx @lofder/dsers-mcp-product logout
npx @lofder/dsers-mcp-product login

开发者注： headless / CI 环境也支持通过 DSERS_TOKEN 环境变量传入凭据。普通用户直接用 login 就行。

使用示例

装好之后，直接用自然语言跟 AI 助手说就行：

"帮我导入这个商品，推到我的 Shopify 店铺草稿：https://www.aliexpress.com/item/1005006372921430.html"

"导入这个商品，加价 2.5 倍，然后推送：https://www.aliexpress.com/item/1005006372921430.html"

"批量导入这 3 个商品，全部推到店铺：[链接1] [链接2] [链接3]"

"把这个商品推到我所有店铺"

"帮我把标题和描述重写一下做 SEO 优化，然后推送"

AI 助手会自己判断调用哪个工具，你不需要知道工具名称或参数。

通过 Smithery 安装

npx @smithery/cli mcp add @dsersx/product-mcp --client cursor

或在 smithery.ai/server/@dsersx/product-mcp 浏览和安装。

从源码安装

# 克隆
git clone https://github.com/lofder/dsers-mcp-product.git
cd dsers-mcp-product

# 安装
npm install

# 配置（复制并填写你的 DSers 账户信息）
cp .env.example .env

# 类型检查
npx tsc --noEmit

# 开发运行
npx @smithery/cli dev ./src/index.ts

九个工具

| # | 工具 | 干什么的 | |---|------|---------| | 1 | dsers_store_discover | 查看你绑定了哪些店铺、有哪些配送方式、定价规则、能用什么规则 | | 2 | dsers_rules_validate | 先试试定价或标题规则对不对，不会真改东西 | | 3 | dsers_product_import | 贴个商品链接，可以顺便加定价/标题规则，推送前先给你看预览 | | 4 | dsers_product_preview | 看一下已经导入的商品 — 标题、价格、变体、库存一目了然 | | 5 | dsers_product_update_rules | 对已导入的商品修改定价、标题、图片或变体规则（增量合并，不需要重新导入） | | 6 | dsers_product_visibility | 设置商品在店铺里是上架展示还是隐藏草稿 | | 7 | dsers_store_push | 把商品推到你的 Shopify 或 Wix 店铺 — 单个推、批量推、或一次推到所有店铺 | | 8 | dsers_job_status | 看看推送完了没、成功了没 | | 9 | dsers_product_delete | 从 DSers 导入列表中删除商品（不可恢复，需确认） |

报错时会返回清晰的消息，AI 助手能看懂出了什么问题、该怎么办 — 不会给你一串看不懂的错误码。

推送前安全校验

推送到店铺之前，工具会自动帮你检查常见问题：

直接拦截（不让推）：售价低于进货成本、零售价为 0、所有变体都没库存
警告提醒（能推，但会提示你）：利润率低于 10%、库存少于 5 件、售价低于 1 美金

有问题的话，AI 助手会告诉你具体是哪个变体出了什么问题。确定没问题的话可以用 force_push 强制推送。

定价规则冲突检测

如果你的 DSers 店铺自己启用了定价规则（基础/标准/高级），同时你又通过 MCP 设置了定价规则，推送会被直接拦截而不是仅警告。AI 助手会给出两个解决方案：

在推送选项中设置 pricing_rule_behavior='apply_store_pricing_rule' 接受店铺端的定价规则
在 DSers 店铺设置中关闭定价规则，使用 MCP 的定价

四个预设提示

MCP 客户端可直接展示给用户的工作流模板：

| 提示 | 说明 | |------|------| | dsers_workflow_quick-import | 一键导入单个商品并推送为草稿 | | dsers_workflow_bulk-import | 批量导入 + 统一定价倍率 | | dsers_workflow_multi-push | 一个商品推送到所有店铺 | | dsers_workflow_seo-optimize | 导入后 AI 重写标题和描述做 SEO 优化，再推送 |

后续计划

支持更多 DSers 已接入的店铺平台（eBay、Wish 等）
更智能的定价规则模板
更精细的库存同步选项

有想法或需求？欢迎提 issue —— 非常欢迎其他开发者的建议和贡献。

其他版本

也提供 Python 版本，适用于本地 stdio 部署。

许可证

MIT