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.
Cursor flies through React, Python, infra. Then it touches your Amazon stack — SP-API quirks, undocumented schemas, settlement reports that arrive 90 days late — and it slows to a crawl, guessing types and writing mocks.
DataDoe ships your entire Amazon business as a typed, documented MCP server — Cursor's Tab, Chat, and Composer all see your real schema, real data, real profit. Skip the API plumbing. Build features instead.
One link. Five minutes. Then your entire IDE knows your Amazon.
One click. Every Seller, Vendor and Ad account flows into DataDoe — across every marketplace and brand.
Paste the DataDoe MCP URL into Cursor settings or .cursor/mcp.json. Chat, Tab, Composer — all see your data.
Tab autocomplete uses your real schema. Chat queries your live data. Composer ships multi-file features in one prompt.
DataDoe ships two things to your IDE: a typed npm SDK that powers Cursor's Tab autocomplete, and an MCP server that lets Cursor's AI reason about your live Amazon schema. Both auto-generated from your real data.
Three months of SP-API plumbing — pagination, rate limits, settlement timing, undocumented quirks — already handled. You don't write SDK code. You write features.
Skip the SDK build. Start at the feature.
Tell Composer "build a profit dashboard with API route, page, and types" and it generates every file — pages, routes, types, queries — already wired to your DataDoe schema. No mocks, no scaffolding, no any.
The internal tool that used to be a sprint becomes an afternoon. The Slack bot that needed a designer, a backend dev, and an SP-API expert ships before lunch.
Composer + your real schema = engineering velocity that doesn't compromise on production-readiness.
If you're writing code that touches Amazon — internal tools, client deliverables, B2B SaaS — DataDoe gives Cursor the schema, types, and live data to skip months of plumbing.
You run the eng team at an 8–9 figure brand. Building internal tools for the seller team — profit dashboards, repricers, ops automations. Stop pulling SP-API at midnight. Ship features, not integrations.
You're the engineering arm at an Amazon agency. Multi-account tools across dozens of client brands. One MCP, every account, every marketplace — stop maintaining 40 SP-API integrations.
Freelance contractor building for sellers. Ship client deliverables in days, not months. Use Cursor's velocity without rebuilding the SP-API wheel for every project.
Building a B2B tool for Amazon sellers. Skip the 6-month integration sprint. Launch your product on day one with DataDoe as your data layer — focus on what makes your SaaS different.
Once Cursor has your live Amazon schema and a typed SDK, the Amazon SaaS your team relies on becomes a 2-day sprint. Built in your stack. Shipped to your repo. Owned forever.
| Cursor alone | Cursor + DataDoe | |
|---|---|---|
| Your data | SDK boilerplate, mocks, paste-ins | Live MCP — every Amazon account, always on |
| Types | You write them, you maintain them | Typed SDK auto-generated from real schema |
| Tab completion | Generic guesses | Knows every field, every metric, every relationship |
| Composer | Scaffolds against fake data | Builds production tools against your real Amazon |
| SP-API quirks | You handle every edge case | Pagination, rate limits, settlement timing — solved |
| Profit math | Roll your own — and get it wrong | Reconciled true profit out of the box |
| Multi-account | Per-account integration each time | One unified MCP across brands and marketplaces |
| Security | You own the OAuth surface | Amazon-audited · SOC-friendly · isolated tenants |
| Setup | Weeks of plumbing | One paste in mcp.json. 15 minutes. |
Real prompts. Real outcomes. Both sides run on your live data.
Code-side queries Cursor's chat handles in seconds.
Why is my dashboard re-rendering on every DataDoe call?
Generate a React hook for live SKU profit updates.
Refactor my profit_by_brand calls to load in parallel.
Write Vitest cases for our margin override service.
Multi-file features Composer ships against your live schema.
Build a Vercel cron that posts daily profit to Slack.
Ship a REST API for the mobile team. Top SKUs, ad spend, returns.
Write a cron that flags SKUs about to stock out and Slacks procurement.
Replace our Sellerboard with a Next.js app on our own domain.
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.
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