Doe gives you the complete Amazon data layer — every metric, clean and AI-ready — so your AI runs on your terms.
From Amazon login to your first AI query in under 5 minutes — connect Seller Central, Vendor Central, and Amazon Ads, then talk to your data in Claude, ChatGPT, Cursor, or any MCP-compatible assistant.
Amazon MCP is a Model Context Protocol server that connects Amazon Seller Central, Vendor Central, and Amazon Ads APIs to AI assistants like Claude, ChatGPT, and Cursor. Instead of building custom integrations against SP-API, sellers and agencies authorize Amazon once via OAuth 2.0 and query their account in natural language. DataDoe operates the Amazon MCP server — it is the first production-grade MCP for Amazon, covering listings, orders, inventory, reimbursements, advertising campaigns, and true profit data.
They are three coverage layers of the same Amazon MCP server. Amazon Seller MCP exposes SP-API endpoints used by 3P sellers (listings, FBA inventory, orders, returns, reimbursements). Amazon Vendor MCP exposes Vendor Central data (purchase orders, ASN, chargebacks, Retail Analytics). Amazon Ads MCP exposes the Amazon Advertising API (Sponsored Products, Sponsored Brands, Sponsored Display, DSP, search term reports, ROAS, attribution). All three are accessible through one DataDoe subscription and one MCP endpoint.
Sign in to DataDoe, authorize your Amazon account through Login with Amazon (LWA OAuth 2.0), then add the DataDoe MCP endpoint to your AI client. In Claude Desktop you add it via the Connectors panel; in ChatGPT (Plus, Pro, Team) you add it as an MCP server in agent mode; in Cursor you add it to ~/.cursor/mcp.json. Once connected, the assistant lists Amazon tools automatically and can answer questions about your account in plain English.
Yes. DataDoe is a direct alternative to Sellerlabs MCP and other emerging Amazon MCP servers. Differences: DataDoe is multi-marketplace (Amazon today, Walmart and Allegro on the same subscription), covers Seller + Vendor + Ads in one server, ships true-profit calculations out of the box, and integrates with all major MCP clients — Claude, ChatGPT, Cursor, Gemini, Codex, GitHub Copilot — without per-client setup.
DataDoe uses official Amazon APIs only — no scraping of Seller Central, no stored passwords. Access is granted through Amazon's OAuth 2.0 consent flow and can be revoked from Seller Central at any moment. All traffic is TLS-encrypted. DataDoe stores only the OAuth refresh token and query metadata needed to serve MCP responses; raw report payloads are streamed to your AI client and not retained long-term.
Under 5 minutes for a single Amazon account. The flow is: create a DataDoe account → click "Connect Amazon" → complete the LWA consent screen on amazon.com → paste the MCP endpoint into your AI client. No code, no SP-API developer registration, no IAM roles, no Selling Partner App approval queue.
Yes. One DataDoe workspace supports multiple Seller Central accounts, multiple Vendor Central accounts, and all Amazon marketplaces (US, CA, MX, UK, DE, FR, IT, ES, NL, SE, PL, JP, AU, etc.). When you ask the AI assistant a question, it can scope the query to a single account or aggregate across the entire portfolio.
Common workflows: ask for true profit by ASIN after FBA fees, ads, and returns; pull yesterday's Sponsored Products ROAS by campaign; find inventory at risk of going out of stock in the next 14 days; reconcile FBA reimbursements; pull Vendor Central chargebacks and dispute candidates; generate ad copy and bid recommendations based on search term reports. Because it is MCP, you can also build your own scripts in Claude Code or Cursor that operate on the same data instead of paying for SaaS dashboards.
For account-level operations (true profit, ad ROAS, inventory, reimbursements, ASIN performance) Amazon MCP through DataDoe replaces most of what dashboards do — you query the data conversationally instead of clicking through reports. For market research and external keyword data (search volume estimates, competitor scraping, product opportunity discovery) SaaS tools still have unique datasets. Most teams keep one research tool and drop the rest.
DataDoe runs on a single subscription that includes Amazon Seller, Amazon Vendor, and Amazon Ads coverage, plus Allegro MCP in June 2026. Early access includes a 7-day free trial, a private Slack channel with the engineering team, and influence on the public roadmap. Pricing scales by number of connected Amazon accounts and monthly MCP call volume; agencies managing multiple seller accounts get a flat agency tier.
Every integration. Full onboarding support. If it’s not the best decision you made in 2026, you can cancel anytime.
Know what makes you money
Catch problems instantly
Connect anything with API & MCP
Replace tools with your own apps
Access Amazon-audited infrastructure
Every integration. Full onboarding support. If it’s not the best decision you made in 2026, you can cancel anytime.