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DataDoe Hub

The Amazon data layer for AI agents.

Seller Central, Vendor Central, and Amazon Ads in one MCP server. Plus a REST API and BigQuery integration when you need to go deeper.

126
Amazon data tables
19+
Marketplaces covered
14
Supported AI clients
Live
Always syncing
Setup

Connect once. Build forever.

Three steps. About 30 seconds. Works with every MCP-capable AI client.

1

Connect Amazon

Sign up at app.datadoe.com and authorize your Seller Central, Vendor Central, or Ads accounts.

2

Get your MCP key

In DataDoe, open Integrations > MCP and generate a key. Scoped to your organization, revocable anytime. Claude (including Claude Code) and ChatGPT can skip this step - they sign in with OAuth instead.

3

Paste into your AI client

Pick a client and follow its guide. Most copy a snippet and swap the key in; Claude and ChatGPT connect with an OAuth sign-in. Your agent gets every Amazon data table.

Data

Every Amazon table, one schema.

136 clean tables across Seller Central, Vendor Central, and Amazon Ads. Documented down to the column, refreshed automatically.

Seller Central

74 tables
  • Profit by SKU & DateContinuous load
  • Profit by DateContinuous load
  • Sales & Traffic by ASIN & DateDaily
  • Order Line ItemsDaily
Browse Seller Central

Vendor Central

31 tables
  • Repeat Purchase PerformanceWeekly
  • Market Basket Co-Purchase (Monthly)Weekly
  • Brand Analytics Search Terms (Daily)Daily
  • Brand Analytics Search Terms (Weekly)Weekly
Browse Vendor Central

Amazon Ads

47 tables
  • Ad Performance by ASIN & DateDaily
  • Ad Performance by Campaign & DateDaily
  • DSP Performance by Creative & DateDaily
  • DSP Product Conversions by ASIN & DateDaily
Browse Amazon Ads
AI Skills

Skills that ship work.

Pre-built workflows for your Amazon AI agent. Install one into Claude Code, Codex, or OpenClaw.

Data Studio

Dashboards, pre-built.

Data Studio templates wired to your DataDoe BigQuery dataset. Copy, connect, share.

Videos

Watch the team build.

Setup walkthroughs, MCP client tutorials, and skill demos. Build alongside the DataDoe team.

Setup tutorial@jakobowsky

Claude for Amazon Brands: Full AI Course 2026

Setup tutorial@jakobowsky

Claude for Amazon Sellers: Run Your Whole Account with AI (2026)

PPC tutorial@jakobowsky

How to Automate Amazon PPC with Claude AI (2026)

FAQ

Questions, answered.

How is DataDoe different from Amazon's own MCP server?+

Amazon ships an official MCP server, but only for Amazon Ads. DataDoe covers the full Amazon stack (Seller Central, Vendor Central, and Amazon Ads) and stores everything in a structured BigQuery layer, retained from the day you connect and refreshed daily.

What's the rate limit?+

DataDoe rate-limits integrations per organization: REST API at 2 requests per second, MCP at 5 requests per second. Exceeding the limit returns HTTP 429 with Retry-After: 1. Amazon SP-API throttling is handled server-side. MCP exports are capped at 5,000 rows per call; paginate with the "skip" parameter for larger result sets. REST API exports have no row cap.

How is data security handled?+

DataDoe handles SP-API developer registration, OAuth, and refresh-token rotation on our infrastructure. Your Amazon credentials never leave DataDoe. MCP API keys are scoped to your organization and revocable from app.datadoe.com/integrations/mcp.

Which AI clients are supported?+

Claude (web, Desktop, and Claude Code), ChatGPT, Cursor, Codex, Gemini CLI, VS Code (GitHub Copilot), OpenCode, OpenClaw, NanoClaw, Hermes Agent, CrewAI, n8n, Gumloop, and Microsoft 365 (Excel, Word, PowerPoint) via the Claude add-in. DataDoe MCP is a standard Streamable HTTP MCP server, so any MCP-compatible client works.

Can't find your answer? Browse the docs →