Doe gives you the complete Amazon data layer — every metric, clean and AI-ready — so your AI runs on your terms.
Cursor codes at the speed of thought. With DataDoe wired in, every line lands against your live Amazon — not mocks, not stale stubs. Your IDE just knows.
DataDoe is the data layer that bridges your entire Amazon business — Seller Central, Advertising, Vendor Central, and SP-API — to Cursor via MCP, the open protocol Cursor uses for live tools and data. Connect your Amazon accounts once, add the DataDoe MCP server to your Cursor settings (or .cursor/mcp.json), and Cursor's Chat, Tab autocomplete, and Composer all see your real, live Amazon data.
All of them. Chat queries your data conversationally. Tab autocomplete suggests against your real Amazon schema. Composer generates multi-file features that compile and run against live data. Agent mode runs end-to-end tasks across your stack. One MCP connection powers everything.
Model Context Protocol is the open standard for connecting live data sources to AI tools. Cursor supports MCP natively — paste a server URL once, and every Cursor surface (Chat, Tab, Composer, Agent) gets access. DataDoe runs as an MCP server, so once you add it, Cursor reads your Amazon data securely with no copy-paste, custom prompts, or API plumbing.
Yes. Tell Composer "build a Next.js profit dashboard with API route, types, and live data" and it generates every file — pages, API routes, types, queries — already wired to your DataDoe schema. No mocks, no scaffolding. Production-ready code, ready to run, in minutes.
Yes. DataDoe ships a fully-typed TypeScript SDK auto-generated from the live Amazon schema. Every table, field, and metric is typed and documented. Cursor's Tab completion picks them up natively — no any, no manual type definitions, no SDK guesswork.
Yes. DataDoe handles multi-account, multi-brand, multi-marketplace setups natively. Vendor Central, Seller Central, and Advertising accounts unified into one MCP endpoint. Agencies use it to ship custom internal tools for dozens of client brands without writing API integrations from scratch.
DataDoe is Amazon-audited and SP-API compliant. Your data flows through secure OAuth connections, stored in isolated infrastructure per account, never shared between tenants. Cursor reads through MCP under your auth — Cursor and AI providers never own or train on your business data.
About fifteen minutes. Connect your Amazon accounts via one-click OAuth (~2 min), add the DataDoe MCP server to Cursor settings (~30 sec), then start coding with autocomplete, Chat, and Composer all reading your live data.
SP-API is messy — pagination, rate limits, eventual consistency, settlement reports that arrive 90 days late, undocumented schema quirks. Building a production client is a 3–6 month project. DataDoe is that client, already built, audited by Amazon, with reconciled profit and a typed SDK on top. Skip the plumbing, build features instead.
Yes. DataDoe supports team workspaces — connect your Amazon accounts once at the org level, and every developer adds the same MCP URL to their Cursor. Permissions, SSO, and audit logs are managed centrally. Each dev gets the full schema in their editor, instantly.
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.