Amazon Seller MCP Server - DataDoe

Hosted Amazon Seller Central & Vendor Central MCP server with read and write access. Connect Claude, ChatGPT, Cursor, Codex, Gemini, and GitHub Copilot to live Amazon SP-API and Amazon Ads API data, then let your AI agent act on it: update listings, manage orders, and optimize Amazon Ads campaigns. DataDoe handles the SP-API developer approval, OAuth, and rate limits so your AI agent starts working in under a minute.

🔗 Start a free trial · 📘 Documentation · ⚡ Actions · 📊 Amazon data schema · 🎥 Video demo

🚀 Quick start

1. Sign up at DataDoe and connect your Amazon Seller Central or Vendor Central account.

2. Create a DataDoe MCP API key in DataDoe MCP Integrations.

3. Paste the config below into your AI client (Claude, Cursor, Codex, Gemini, GitHub Copilot, ChatGPT, or any MCP-capable tool):

   config.json

   Copy

   {
     "mcpServers": {
       "datadoe": {
         "url": "https://mcp.datadoe.com/mcp/v1",
         "headers": {
           "datadoe-mcp-key": "<YOUR_DATADOE_MCP_KEY>"
         }
       }
     }
   }
   

4. Ask your AI agent: "Show my top 10 ASINs by revenue last month across all Amazon marketplaces."

That's it. DataDoe runs the MCP server on hosted infrastructure, so your team doesn't need to deploy anything locally or wait for Amazon SP-API developer approval.

What is DataDoe MCP?

DataDoe MCP is a hosted Model Context Protocol (MCP) server for Amazon sellers, vendors, and agencies. It exposes your live Amazon Selling Partner API (SP-API) and Amazon Ads API data through MCP tools that work with Claude, ChatGPT, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Claude Desktop, n8n, NanoClaw, and any other MCP-capable client.

DataDoe MCP gives your AI agent two layers over your Amazon account:

• A read layer - SKU-level orders, sales, ads spend, traffic, inventory, listings, returns, settlements, brand analytics, and catalog, returned as structured tool responses or downloadable CSV and JSON exports.
• A write layer (Actions) - your agent can change your Amazon account through the SP-API and Amazon Ads API: update listings, cancel orders, confirm shipments, and manage Amazon Ads campaigns, ad groups, targets, and ads.

Building your own Amazon SP-API integration typically requires SP-API developer registration, OAuth refresh-token flow, marketplace-specific endpoints, throttling logic, and 2-4 weeks of Amazon approval. DataDoe takes care of all of that. You get a single authenticated MCP URL for both reading and acting on your Amazon data.

Who is DataDoe MCP for?

• Amazon sellers (FBA, FBM, multi-marketplace) - get instant answers from your own seller data without context-switching to Seller Central.
• Amazon agencies managing multiple client accounts - query across every connected Seller Central / Vendor Central account from one MCP server.
• Vendors with Vendor Central - read 1P data alongside 3P data with the same tools.
• AI builders and developers - ship Amazon-aware AI agents, dashboards, and internal tools without writing your own SP-API integration.
• Operations teams - automate recurring reports via Claude Code, Cursor, n8n, or any MCP-capable workflow tool.

Why use DataDoe MCP?

• ✅ No SP-API approval needed - DataDoe handles SP-API developer registration, OAuth, refresh tokens, and rate limits on your behalf.
• ✅ 30-second setup - paste the MCP URL and your API key into your AI client config. DataDoe runs the server on hosted infrastructure.
• ✅ 20+ documented integrations out of the box: Claude, ChatGPT, Cursor, Codex, Gemini CLI, GitHub Copilot, n8n, CrewAI, the Claude & OpenAI Agent SDKs, Excel / Word / PowerPoint via Claude, and any other MCP-capable client.
• ✅ SKU-level resolution - drill into individual ASINs, parent listings, marketplaces, time periods, ad campaigns, keyword reports, settlements, returns.
• ✅ Multi-marketplace, multi-account - one MCP server covers every Amazon marketplace (US, UK, DE, FR, IT, ES, CA, AU, JP, MX, and more) across Seller Central and Vendor Central.
• ✅ AI-native by design - exports_create accepts SQL-like filter groups, GROUP BY, aggregations, and date intervals, so your AI agent can build complex reports from one tool call.
• ✅ Read and write - with Actions, your agent doesn't just report, it updates listings, manages orders, and optimizes Amazon Ads, with a dryRun validation step and per-type controls.
• ✅ Always-on hosted infrastructure - DataDoe manages SP-API rate limits, token rotation, and ongoing maintenance.

What can you ask DataDoe MCP?

Example questions your AI agent can answer with DataDoe MCP connected:

• "What were my top 20 ASINs by revenue last month across all Amazon marketplaces?"
• "Reconcile my Amazon settlements against orders for Q1, and show any discrepancies."
• "Which Amazon Ads campaigns had ACoS over 40% last week, and what was their total spend?"
• "Show inventory units at risk of stocking out in the next 14 days."
• "Build me a daily KPI dashboard with sales, traffic, and ad spend for the last 90 days."
• "Which search terms in my PPC reports drove the most clicks but zero conversions?"
• "Pull every Amazon return for SKU ABC-123 in the last 60 days and summarize the return reasons."
• "Compare my brand analytics search term share-of-voice month over month."

And with Actions enabled, your agent can act on what it finds:

• "Raise the daily budget on my top-ACoS Sponsored Products campaign by 20%."
• "Pause every campaign with ACoS over 50% last week."
• "Update the price of SKU ABC-123 to 19.99 and refresh its bullet points."
• "Confirm shipment for order 123-4567890-1234567 with UPS tracking 1Z999..."

Actions: write to Amazon

Actions let your AI agent make changes on your connected Amazon Seller Central, Vendor Central, and Amazon Ads accounts through the SP-API and Amazon Ads API. Every Action is recorded and auditable.

What your agent can do:

• Listings - update the title, bullet points, description, price, generic keyword, and item-type keyword (AMAZON_LISTINGS_UPDATE).
• Orders - cancel an order item with a reason (AMAZON_ORDERS_CANCEL) or confirm shipment and upload tracking (AMAZON_ORDERS_CONFIRM_SHIPMENT).
• Amazon Ads - add, update, remove, and find campaigns, ad groups, targets, ads, and ad associations across Sponsored Products, Brands, Display, TV, and Amazon DSP.

How it works - the agent runs each Action through these MCP tools:

1. actions_details_schema_get - get the payload schema for the Action type.
2. actions_start with dryRun=true - validate the payload without executing.
3. actions_start - run the Action and get an action id.
4. actions_get - poll until it completes, then read the result.

Use actions_list to review past Actions (filter by status, type, creator, and date).

Action types are disabled by default and enabled per type in Settings > Actions. When a type is disabled, actions_start rejects live runs but still allows dryRun validation.

Example details payload for AMAZON_LISTINGS_UPDATE:

{
  "type": "AMAZON_LISTINGS_UPDATE",
  "sellerOrVendorId": "<SELLER_OR_VENDOR_UUID>",
  "dryRun": true,
  "details": {
    "changes": [
      {
        "sku": "ABC-123",
        "language_tag": "en_US",
        "name": "Stainless Steel Water Bottle 750ml",
        "price": 19.99
      }
    ]
  }
}

Running an Action costs 2 AI tokens for up to 100 entities, plus 1 token per additional 100. See the Actions docs for the full catalog and payload schemas.

Available MCP tools

DataDoe MCP exposes the following tools to your AI client: