What is DataDoe MCP and how does it connect to AI tools like Claude Code, Cursor or ChatGPT?

DataDoe MCP is a Model Context Protocol server that exposes your Amazon data layer — orders, inventory, ads, customers, finance — to any AI tool that speaks MCP. You generate a key inside DataDoe, paste a small config block into Claude Code, Cursor, ChatGPT, Codex, Gemini or GitHub Copilot, and from that point on your AI can read live Amazon data and build tools, automations and dashboards on top of it. There is no scraping, no CSV import, no proxy layer — your build sees the same structured data you see in your DataDoe dashboard, in real time.

Do I need to know how to code to build tools and automations with DataDoe MCP?

No. If you can copy a config snippet from one box and paste it into another, you can connect DataDoe MCP to your AI builder. After that, every interaction is plain English — you describe the Slack bot, the dashboard, the email digest or the internal tool you want, and your AI ships the build. Tools like Claude Code, Cursor and Codex generate the actual code, set up schedulers and wire integrations, then explain what each piece does so you can iterate without writing it yourself.

Which AI builder tools work with DataDoe MCP today?

Claude Code, Claude Desktop, Cursor, Codex, GitHub Copilot, Google Gemini, Gemini CLI and ChatGPT all work today through DataDoe MCP. Any other AI tool that supports Model Context Protocol — including in-house clients, niche AI editors and custom agents — works the same way with the same configuration. MCP is an open standard, not an Anthropic-only thing, so the list of compatible tools keeps growing without DataDoe having to ship anything new.

How fast can I actually ship a working build using DataDoe MCP and my AI tool?

Most builds go from 'I want a tool that does X' to 'the tool that does X is running' in under an hour. Simple chat queries through Claude Desktop or ChatGPT return results in seconds. Slack bots, email digests and small internal tools built in Cursor or Claude Code typically ship in fifteen to forty-five minutes including setup. Larger custom dashboards or scheduled webhooks take an afternoon. Compare this to the typical six-week internal IT cycle for the same thing.

Why not just build my own Amazon SP-API integration instead of using DataDoe MCP?

Building your own means going through Amazon's Public PII Process audit yourself — a months-long, multi-stage review covering encryption, retention, access controls, vulnerability management and incident response. DataDoe has already cleared it, so you can pull restricted data on day one. You would also need to handle multi-account orchestration across the twenty-one Amazon marketplaces, currency normalization, schema reconciliation, historical backfills, rate limit handling, retries, and the API changes Amazon ships every few weeks. DataDoe gives you a maintained data layer instead of a thin API wrapper, so your AI tools can build against clean structured data instead of fighting raw endpoints.

How does DataDoe handle data security when an AI tool queries my Amazon data?

Every MCP key carries scopes — specific data domains, specific tables, specific fields, optional time-range limits — so each build only sees the slice of data you authorized. Every request your AI makes is written to your DataDoe audit log with timestamp, scope, response size and the user who triggered it. Keys are time-limited and revocable in one click. Restricted Amazon PII access uses Amazon's short-lived RDT tokens scoped per request, never long-lived bearer credentials. All data is encrypted at rest with AES-256 and in transit with TLS 1.2 or higher.

Will my Amazon data be used to train AI models if I connect DataDoe to ChatGPT or Claude?

No. DataDoe never sends your data to anyone for training, ever. The AI tool you connect handles prompts and responses on its own infrastructure, and we recommend running these tools on their enterprise plans — Claude for Enterprise, ChatGPT Enterprise, Cursor Business, Copilot Business — which contractually exclude your prompts and responses from model training. Documentation on the right plan and configuration for each supported AI tool is available inside DataDoe.

Can my whole team use the tools, dashboards and automations I build with DataDoe MCP?

Yes. Anything an AI tool ships against DataDoe MCP — a Slack bot, a CLI command, a scheduled webhook, a custom dashboard, an internal admin panel — can be reused by any team member with the right key. Scopes and audit trails travel with each key, so your security team stays in control while your ops, finance and marketing teams scale the wins. Builds shipped by one person can become the daily standard for everyone the next day.

What happens if my AI builds something that breaks or returns the wrong data?

Iterate. AI builders work by conversation — if the dashboard shows the wrong metric, tell your AI what to change and it fixes the build. If the alert fires too often, tighten the threshold in plain English. Every build is traceable to the exact rows DataDoe returned, so your AI can show you the queries it ran and you can sanity-check before deploying. For tougher problems, our team is reachable through the same support channels every DataDoe customer gets, and we maintain a growing library of prompt patterns that work, so you can copy something close to what you need and adapt.

One layer, four ways out

Use your Amazon data wherever you work.

Inside the DataDoe app, in your AI tools, in your warehouse, in your inbox. Same data, four ways to read it. Pick whichever fits your team — or use all.

API

Active

Build your own internal tools, dashboards or integrations. Pull clean Amazon data straight into the apps your team already uses.

Internal admin panels and ops tools
Custom dashboards your team checks daily
Slack bots, Discord bots, or any in-house app

For buildersJSON or CSV

MCP

Active

Plug DataDoe into your AI tools. Ask any question about your Amazon business in plain English — the AI reads your live data and answers.

Works with Claude, ChatGPT, Cursor and anything that supports MCP
Ask questions, build automations, generate reports
Your data stays scoped — AI only sees what you allow

For everyoneNo coding needed

Warehouse sync

Active

Connect directly to DataDoe's data warehouse from BigQuery and use your data alongside the rest of your business — finance, CRM, marketing, anything.

Native BigQuery dataset sharing
Refreshes daily, ready for SQL or any BI tool
Joins to your warehouse data without exporting

For BI teamsDaily refresh

Scheduled exports

Active

Set it once, forget it. Daily revenue digest, weekly P&L, monthly inventory snapshot — sent automatically to your team or your tool of choice.

Email, Drive, Dropbox, S3 or your own URL
Daily, weekly, monthly or custom cadence
Filter what gets sent and to whom

No codeSet and forget

One-click AI connectors

Connect to any AI tool in seconds.

No setup, no config files, no IT involvement. Pick the AI you already use, click connect, log in. Start asking your data anything you want.

Claude

Anthropic's AI assistant. Use Claude Desktop or Claude Code.

Connect →

ChatGPT

OpenAI's flagship. Use the desktop app or Custom GPTs.

Connect →

Gemini

Google's AI in the browser or terminal. Same connector, same key.

Connect →

Cursor

The AI IDE. Build dashboards and bots backed by your live data.

Connect →

Codex

OpenAI's terminal builder. Fast scripts on your live Amazon data.

Connect →

GitHub Copilot

Inside VS Code, JetBrains or web. DataDoe shows up as a tool.

Connect →

What's inside

Every part of your Amazon business, in one place.

DataDoe pulls in every relevant piece of your Amazon data, cleans it up, joins it together. By the time it reaches your AI tool, your warehouse or your inbox — it's already ready to use.

Orders & payouts

Every order, every refund, every disbursement Amazon paid you.

FBA inventory

Stock on hand, aging, storage costs, reimbursements per warehouse.

Amazon Ads

Spend, clicks, conversions across Sponsored Products, Brands, Display.

Search & brand

What customers search, what they click, what your competitors win.

Listings & catalog

Titles, bullets, images, variations across every marketplace you sell in.

Vendor data

POs, retail analytics, contribution profit, in-stock rate.

Returns & reviews

Why customers return, what they say, where the patterns are.

Your COGS

Upload your real costs once. We join them to revenue for true margin.

Three things teams do today

Ask. Automate. Build your own tools.

Three patterns most teams start with on the data layer — none of them needs an engineer or a six-week project. Just DataDoe and the tool you already pay for.

Any AI

Ask questions in plain English

Open Claude, ChatGPT, Gemini — whichever your team uses — ask anything about your Amazon business. Real answers, real numbers, no guessing.

ChatGPT · with DataDoe

Which products dropped 30%+ last week and why?

Three SKUs dropped 30%+. SKU‑A47 lost the Buy Box on Tue. SKU‑B22 ran out of stock in DE. SKU‑C09 shows higher returns — possible quality issue.

Automations

Build alerts and digests on autopilot

Daily revenue digest, restock alerts, Buy Box loss pings — set them up once, they run forever. No manual checking, no missed events.

Slack · #ops-amazon

#ops-amazon · today at 7:02 AM

DataDoe Bot APP7:02 AM

3 SKUs below 14d cover

SKU‑A478 days
SKU‑B2211 days
SKU‑C0913 days

Internal tools

Build your own tools — drop your SaaS

The restock planner, margin calculator or Buy Box tracker you want. Built in an hour, replaces a $400/mo SaaS that does 60% of what you need.

Restock Planner · internal tool

Restock Planner

v1.2

Reorder now

12 SKUs $48k

Working capital

62% used

SKUDaysReorder

SKU‑A4782,400

SKU‑B22111,800

SKU‑C0913hold

Don't want to build? Don't.

We also ship the analytics ready-made.

Not every team wants to build their own dashboards or wire up AI tools. DataDoe also comes with prebuilt analytics — Profit & Loss, Inventory, Orders, PPC, Search Terms, Vendor — plus Doe, the AI assistant trained on your Amazon data. Open the app and start asking.

Explore prebuilt analytics →

DataDoe · Profit & Loss

P&L

Inventory

Orders

PPC

Revenue

$1.42M +8%

Margin

23.4% +1.2pp

Coming soon

Messaging and automation, on the way.

Two more places to use DataDoe — directly inside the messaging and automation tools your team already uses every day.

Messaging apps

Coming soon

Bring DataDoe straight into your channels. Just type @Doe in Slack or Teams and ask anything about your Amazon business — without leaving the chat.

Already today: connect through our API or MCP. One-click integration coming soon.

Automation tools

Coming soon

Trigger automations from your Amazon data — stockouts, Buy Box loss, ad pacing breaches — across the workflow tools you already orchestrate with.

Already today: connect through our API or MCP. One-click integration coming soon.

Easy and safe

Built so your security team says yes.

Same data layer, same protections — whether your AI agent reads it, your engineer pulls it through API, or your warehouse syncs it nightly.

Approved by Amazon

Cleared for restricted customer data — the audit most solutions fail.

Top-grade encryption

Your data is encrypted at rest and in transit, every step of the way.

You control access

Revoke any connection, user or access in one click.

Full audit trail

Every request logged. Who asked, what they got, when. On demand.

Read the full security documentation · or how DataDoe is approved for restricted customer data

The brain behind your ecommerce operations