DataDoe MCP

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 14-day 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):

   {

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

1. 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.
• ✅ One plan, one price - $97/month with a 14-day free trial. See pricing.
• ✅ 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, generic keyword, item-type keyword, and images (AMAZON_LISTINGS_UPDATE), update prices for Seller Central accounts (AMAZON_LISTINGS_PRICING_UPDATE), and preview a listing write with the matching *_VERIFY Action before submitting it.
• Orders - cancel an order item, confirm shipment, buy shipping, solicit a review, message the buyer, or search current orders (AMAZON_ORDERS_FIND) and order metrics (AMAZON_ORDERS_GET_METRICS).
• Vendor Central - acknowledge purchase orders, submit shipments, and retrieve labels, packing slips, and transaction status.
• Amazon Ads - add, update, remove, and find campaigns, ad groups, targets, ads, ad associations, and Sponsored Products bid rules 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": " ", "dryRun": true, "details": { "changes": [ { "sku": "ABC-123", "language_tag": "en_US", "name": "Stainless Steel Water Bottle 750ml", "bulletPoints": ["Keeps drinks cold for 24 hours", "Leak-proof lid"] } ] } }

Running an Action costs 3 AI Tokens for up to 100 changes, plus 1 AI Token per additional 100 changes. See the Actions docs for the full catalog and payload schemas.

Available MCP tools

DataDoe MCP exposes the following tools to your AI client:

| exports_raw_download | Data | Returns the raw export co