Amazon data and MCP questions, answered.

DataDoe is the Amazon data and action layer for AI. It unifies Seller Central, Vendor Central and Amazon Ads into one clean schema, then lets the AI you already use read that data and act on your account through MCP, API and BigQuery. See what it covers on the platform page.

Amazon sellers, vendors, agencies, developers, and print-on-demand operators. Each role has its own solution page: Sellers, Vendors, Agencies, Developers, POD Sellers, and AI Builders.

About 5 minutes. Authorize your Amazon accounts and connect your AI client. About two years of history load in the background, recent data first.

No. If you just want insights and recommendations — you're good on day one. If you want to build agents and automations — MCP and API are waiting. Most users start as operators and end up as builders.

Day one: ask your AI about profit, ads and inventory, and once you switch Actions on, let it push changes to listings, prices and bids. Day two: build an internal tool, automate your reports or schedule checks. The ceiling is yours to set.

A complete Amazon data layer built around three pillars: Foundation — orders, ads, fees, and performance combined into one clean structure. Access — connect to BI tools, spreadsheets, internal systems, or AI platforms. Control — build apps, automations, and tools using your own data instead of someone else's assumptions.

Yes. Through Actions your AI can update listings and prices, manage Amazon Ads and handle orders. For vendors it can acknowledge purchase orders, submit shipments and ASNs, and handle Direct Fulfillment orders and labels; invoices stay read-only. Writes stay off until you enable them. Most AI clients ask before a change, and you can preview it as a dry run first. Every change is logged. See the platform page.

Yes. Vendor Central data is fully supported alongside Seller Central — Ads, retail data, and 1P-specific metrics in one unified data layer. See Vendors.

Yes. Unify client data, automate reports across accounts, connect to any AI tool, and build agency-specific tools on one Amazon data layer. See Agencies.

Yes. DataDoe holds Amazon's Public PII approval, so with the buyer data add-on ($49/month, on request) we can set up automations such as print-file generation and shipping labels for Amazon POD sellers running custom products. See POD Sellers.

The Changelog tracks every release with dates and details.

The Blog covers Amazon SP-API, MCP, AI workflows, analytics, and tutorials for sellers, vendors, agencies, and developers.

Claude, ChatGPT, Gemini, Cursor, Codex, GitHub Copilot, Microsoft Copilot, Perplexity, n8n, Zapier — anything with MCP or API. Connect DataDoe once and your entire stack gets access to your Amazon data.

No, not in a chat client. In Claude, ChatGPT, Cursor and Gemini the approval is a button you click in the app, and the AI cannot answer it for you. If you turn the prompt off, or connect an agent that runs on its own such as Zapier, n8n or a scheduled agent, it can run only the Action types you enabled, on accounts set to read and write, and only if its user or service account has write permission. Every change is logged with who or what started it.

They do. Amazon's Ads MCP covers advertising, and its Selling Partner plugin covers one US Seller Central store in Claude. DataDoe joins Seller, Vendor and Ads in one schema, with history and write Actions. Full comparison at DataDoe vs Amazon MCP.

Yes — both, in one MCP server. Amazon's own servers split Ads and US Seller Central, and skip Vendor Central.

Yes. One connection works across every supported tool. Many users connect Claude on desktop, ChatGPT on mobile, Cursor for engineering — all reading the same data.

Yes. The AI Builders solution is built for that — agents, automations, and custom tools on top of your data through MCP and API. No backend, no complexity.

Most tools give you a dashboard and call it done. DataDoe is what you plug everything else into. Your AI can read and act on the data from day one, and MCP and API are there when you want to build something no one else has.

$97/month after a 14-day free trial. Single transparent plan, no tiers. See Pricing.

Yes. 14 days free to try the full product. If it's not the best decision you made this year, you can cancel anytime.

No. Cancel anytime.

2,000 AI tokens, 10M data rows, one seat, unlimited connections, MCP, API, BigQuery and Actions, plus onboarding and an account manager. Add-ons only if you need more data, seats or buyer PII.

Yes — for larger organizations that need custom volume, contracts, an SLA and team-wide access. See Enterprise.

Yes. DataDoe passed Amazon's Public PII audit, so buyer data can be enabled on request. See Security for the full overview.

Yes. DataDoe is approved under Amazon's restricted data process for Personally Identifiable Information (the Public PII audit). Buyer data stays off unless you request it.

You do. DataDoe holds your data on your behalf to provide the service. You can export at any time and revoke access in one click.

Yes. One click in DataDoe settings or directly in Amazon Seller Central. Access stops immediately.

Per Amazon's required policy. PII is treated under Amazon's restricted data process — access is logged, controlled, and purged on Amazon's required schedule.

Yes. Every request, every user action, every export is logged. See Security for details on access controls and audit logs.

Orders, ads, fees, performance, inventory, search terms, listings, and customer data (including PII where authorized). All combined into one clean, AI-ready structure.

Yes. Both 3P (Seller Central) and 1P (Vendor Central) data are fully supported, including hybrid setups.

Fresh daily, with key tables refreshed intraday and optional notifications for ads and orders.

Yes. Bring it into BI tools such as Power BI, Tableau or Looker via BigQuery or exports, into spreadsheets with CSV and Excel exports, or pull it through the API and MCP.

Yes. Connect DataDoe MCP to Claude Desktop, Claude Code, or any Claude integration. See Connect Claude.

Yes — through MCP. See Connect ChatGPT.

Yes. Connect MCP in your IDE or CLI and query Amazon data while you build. See Connect Cursor and Connect Codex.

Yes. See Connect Gemini and Connect GitHub Copilot.

Yes. DataDoe connects to n8n, Zapier and any tool that supports MCP, API or webhooks.

Yes. Send alerts and scheduled summaries to Slack through Claude Tag, n8n or Zapier, and feed BI tools such as Power BI, Tableau and Looker via BigQuery or exports.

A team focused on Amazon marketplace infrastructure, with years of building SP-API integrations before launching DataDoe. Read the full story on About Us.

DataDoe Inc. is registered in Delaware, US, with a main tech HQ in Poznań, Poland. Our team also works from Warsaw, Bangkok and Berlin. See About Us.

Yes. Custom volume, contracts, an SLA and team-wide access for larger organizations. See Enterprise.

Sign up at Pricing for the trial. For enterprise, partnership, or workshop inquiries, Book a demo.