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.
- 51
- Amazon data tables
- 18+
- Marketplaces covered
- 12
- Supported AI clients
- Live
- Always syncing
Connect once. Build forever.
Three steps. About 30 seconds. Works with every MCP-capable AI client.
Connect Amazon
Sign up at app.datadoe.com and authorize your Seller Central, Vendor Central, or Ads accounts.
Get your MCP key
In DataDoe, open Integrations > MCP and generate a key. Scoped to your organization, revocable anytime.
Paste into your AI client
Pick a client. Copy the snippet, swap your key in, restart the client. Your agent gets every Amazon data table.
Or skip ahead to your AI client →
Every Amazon table, one schema.
61 clean tables across Seller Central, Vendor Central, and Amazon Ads. Documented down to the column, refreshed automatically.
Seller Central
38 tables- Profit by SKU & DateContinuous load
- Profit by DateContinuous load
- Sales & Traffic by ASIN & DateDaily
- Order Line ItemsDaily
Vendor Central
10 tables- Repeat Purchase PerformanceWeekly
- Market Basket Co-Purchase (Monthly)Weekly
- Brand Analytics Search Terms (Daily)Daily
- Brand Analytics Search Terms (Weekly)Weekly
Amazon Ads
13 tables- Ad Performance by ASIN & DateDaily
- Ad Performance by Campaign & DateDaily
- Keyword Targeting PerformanceDaily
- Search Term Performance (Ads)Daily
Skills that ship work.
Pre-built workflows for your Amazon AI agent. Install one into Claude Code, Codex, or OpenClaw.
Amazon Asin Search Auditor
Audit an Amazon seller's organic and sponsored search visibility by combining DataDoe search-term data, live Amazon search results, owned-ASIN matching, screenshots, and a reusable dashboard report. Use when asked to run an Amazon ASIN/search visibility audit for a specific DataDoe seller.
Open skillCreate Amazon Reconciliation Dashboard
Build a self-contained, interactive Amazon Reconciliation Dashboard powered by the DataDoe MCP tools. Use when the user asks to create, generate, scaffold, or build an Amazon reconciliation dashboard, settlements dashboard, orders-vs-settlements report, or any "reconcile my Amazon orders" deliverable using DataDoe.
Open skillCreate Orders Manager
Build a single-page Orders Manager application powered by the DataDoe REST API. Use when the user asks to create, scaffold, or build an orders manager, orders dashboard, orders table, or order management app using DataDoe.
Open skillWeekly Sales Briefing
Generate a structured weekly Amazon sales briefing as an interactive HTML card. Use this skill whenever the user asks for a weekly sales report, weekly briefing, weekly summary, sales overview, or any request combining "week" with sales/revenue/performance. Also trigger when the user says things like "how did we do this week", "give me the weekly numbers", "show me this week's sales", or "weekly recap". The skill fetches live data from DataDoe (production) for pointed seller and renders a polished interactive HTML card with KPIs, top SKUs, biggest drops, and AI-generated insights.
Open skillDashboards, pre-built.
Data Studio templates wired to your DataDoe BigQuery dataset. Copy, connect, share.

Product Profitability Report
See profit by product with a clear breakdown of sales, costs, fees, and margins. Built for quick weekly reviews.
Open templateMore dashboards in the works.
More dashboards in the works.
Videos
Watch the team build.
Setup walkthroughs, MCP client tutorials, and skill demos. Build alongside the DataDoe team.
How to Connect Amazon SP-API and Ads API to Claude Code Using MCP (Full Tutorial)
How to Automate Amazon PPC Monitoring with Claude Code and Amazon Ads MCP
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 handles Amazon SP-API rate limits server-side. Your agent can call DataDoe tools as fast as your AI client allows. Exports are capped at 2,500 rows per call; paginate with the `skip` parameter for larger result sets.
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 (Desktop + Code), ChatGPT, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, CrewAI, Hermes Agent, n8n, NanoClaw. DataDoe MCP is a standard HTTP Streamable MCP server, so any MCP-compatible client works.
Can't find your answer? Browse the docs →








