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Built for Amazon vendors · 1P and hybrid

The Amazon Vendor Central MCP that reads and writes

One integration for Vendor Central, Seller Central and Amazon Ads. Claude, ChatGPT or any AI agent reads your Retail Analytics, forecasts, purchase orders and ads, then updates listings, A+ Content and campaigns once you switch Actions on, with a dry-run preview if you want one.

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  • Vendor, Seller & Ads dataVendor, Seller & Ads
  • Passed Amazon PII auditPII audited
  • Free for 14 days14 days free
• Ask Vendor Central

Vendor Central questions, answered in figures

Choose a question. The agent joins Retail Analytics, Amazon’s demand forecast, purchase orders, invoices, Brand Analytics and Ads on the ASIN, then replies with the figures, so nobody downloads five reports to find one variance.

Asked in ChatGPT

Which ASINs lost the most Net PPM month on month, manufacturing view?

datadoe · vendor_net_ppm + promotions✓
Three ASINs lost margin, two of them sharply. Net PPM, last 30 days against the 30 before, manufacturing view.
B0C7K2M4QX · Net PPM−3.1 ptsA nine-day discount with less vendor funding
B0D3N8P5RT · Net PPM−2.6 ptsLower cost price on the latest POs
B0BN5F9Y2C · Net PPM−1.2 ptsHigher returns allowance
Follow-up: why did B0C7K2M4QX drop?

The price discount ran for nine days with less vendor funding than the last one, and customer returns rose from 2.1% to 4.8% over the same weeks.

Your vendor team can ask from ChatGPT, Claude, Gemini, GitHub Copilot, Codex or any MCP client; each one reads the same joined Vendor Central data.

• Vendor write access

What your agent can change in Vendor Central

Your agent can also make the change it recommends: listings, images, A+ Content and vendor ads, through Amazon’s official APIs. It can acknowledge purchase orders, submit shipments and ASNs, and handle Direct Fulfillment orders and labels. Invoices stay read-only. Writes stay off until you enable them, most AI clients ask before a change, and you can preview it as a dry run first.

Gemini
Rewrite the bullets on B0D8L3VQ6H to lead with dishwasher-safe. Show me the dry run.
datadoe · AMAZON_LISTINGS_UPDATEdry run ✓
Here is exactly what would change:
B0D8L3VQ6HVENDOR · US
Bullet 1Capacity → Dishwasher-safe
Bullets changed2 of 5
Dry runpasses ✓
Approved. Amazon accepted the update; vendor listing edits show up within minutes to a few hours.
Ask Gemini
ChatGPT
Swap the main image on the 12-pack for the new studio shot.
datadoe · AMAZON_LISTINGS_UPDATE · imagesdry run ✓
Ready to replace:
B0D3HX9R2L · imagesVENDOR · US
Main imageold → studio-12pk.jpg
Other imagesunchanged
Image rulesmet ✓
Sent. Amazon has the new main image, and the log keeps the before and after.
Ask anything
Claude
Draft A+ Content for the five glassware ASINs and validate it before you submit.
datadoe · AMAZON_APLUS_CONTENT_VALIDATEvalid ✓
Validated and ready to submit:
Brand story · glasswareVENDOR · DE
Modules4
ASINs attached5
Validationno warnings ✓
Submitted to Amazon’s A+ review; the publish record sits in your log.
Reply to Claude…
Gemini
Move $40 a day from the weakest Sponsored Brands campaign into the B0D3HX9R2L product campaign.
datadoe · AMAZON_ADS_CAMPAIGNS_UPDATEdry run ✓
Two budgets would change:
Vendor ads · daily budgetsBUDGETS
SB · Glassware video$60 → $20
SP · B0D3HX9R2L exact$35 → $75
Total per dayunchanged
Done. Both budgets updated in Amazon Ads, and logged.
Ask Gemini
• The alternatives

Most vendor tools are a report, not a layer

Vendor Central shows you the numbers. Amazon’s own AI tools stop at Seller Central or at ads. DataDoe gives your agent the retail data, the forecast history and write access in one place.

  • Covered
  • Partial or one source
  • Not covered

When you shouldn’t use us. If you only need advertising numbers, Amazon’s own Ads MCP is free and enough. If you need an AI to submit invoices, DataDoe doesn’t do that: invoices stay read-only. Purchase orders, shipments, ASNs and Direct Fulfillment are covered.

DataDoe vs Amazon’s MCP servers
How the ways to connect Amazon Vendor Central to AI agents compare, based on public documentation checked in October 2026
Vendor Central
& CSV exports		 Amazon’s Selling
Partner plugin		 Amazon’s
Ads MCP		 Read-only
data connectors
Retail Analytics and Net PPM in your AI
Vendor, Seller and Ads joined by ASIN
Weekly forecast snapshots kept
Vendor listing and A+ writes
PO, shipment and ASN writes
Vendor ads changes with approval
Warehouse sync and file exports
Any MCP client, not one assistant
• Vendor data model

Every Vendor Central report, joined by ASIN

One schema of 100+ tables across Vendor Central, Brand Analytics and Amazon Ads, so a single question can cover Net PPM, open POs and ad spend without you writing a join.

Explore the full schema
Amazon Vendor Central data normalized by DataDoe and available to your AI agent
Data areaWhat’s in it
Amazon Vendor Central
Retail AnalyticsOrdered and shipped revenue, shipped COGS, units, glance views, returns and sell-through, per ASIN per day
Net PPM and marginNet pure product margin and contra-COGS, manufacturing and sourcing views side by side
Inventory healthSellable, unsellable and aged units, units in transit and open PO units
Hour-by-hourOrdered units, revenue, detail-page views and in-stock inventory, by the hour
Demand forecastMean, P70, P80 and P90 per ASIN, kept as a snapshot every week
Purchase ordersPO lines with quantities, cost and delivery windows
Direct FulfillmentDF orders, refreshed during the day
InvoicesPayment status with price and quantity variances
Promotions and couponsDeal and coupon performance with your vendor funding
Vendor listingsCatalog attributes and the cost price Amazon pays you
Brand Analytics
Top search termsSearch frequency rank, click share and conversion share
Repeat purchaseHow often customers come back for each ASIN
Market basketWhat shoppers buy together with your ASINs
Amazon Ads for vendors
Sponsored Products, Brands and DisplayVendor campaigns by ASIN with spend, sales and ROAS
Budgets and biddingCampaign budgets, targets and bid changes over time
Marketing StreamHour-level ad metrics as Amazon sends them
Amazon DSPDisplay and video spend for your vendor brand
Hybrid 1P + 3P
Seller Central alongsideOrders, fees, FBA inventory and settlements for the same ASINs
One organizationEvery vendor, seller and Ads account in one schema
Your own costsCOGS per SKU on the 3P side, joined to orders and fees
• Vendor setup

Connect Vendor Central to your AI in four steps

Sign up, approve DataDoe inside Vendor Central, copy one endpoint and paste it into your AI client. There is no SP-API developer app to register and nothing to host.

  • No SP-API developer app of your own to register or host
  • Vendor Central, Seller Central and Amazon Ads on one endpoint
  • Retail Analytics back about two years, newest weeks loaded first
  1. Step 1

    Start the free trial

    Fourteen days with every vendor feature, Actions included. Onboarding help is there if you want it.

    Start free trial
  2. Step 2

    Approve it in Vendor Central

    Authorize each marketplace on Amazon’s own consent page and link your Ads profile. Pick read only or read and write per account.

    Vendor Central is authorized from inside your DataDoe account, so create one at first — or sign in.
  3. Step 3

    Copy the endpoint

    The same MCP address serves Claude, ChatGPT, Cursor and Codex, so your whole category team shares one connection.

    Your AI client signs you in to DataDoe when you paste this endpoint, so begin at — or sign in. https://mcp.datadoe.com/mcp/v1
  4. Step 4

    Paste it into your AI

    Add it as a connector and sign in. Retail Analytics history keeps loading in the background while you ask.

    Add to Claude Add to ChatGPT Add to Gemini Any MCP client
• Vendor data, any tool

Same vendor data in
every tool you use

Claude for vendor managers, BigQuery for the data team, Excel for finance: they all read the same Vendor Central tables, so the numbers match in every meeting.

Claude

Vendor managers ask about Net PPM, the forecast and open POs straight from a Claude chat. Best for Weekly business reviews Connect Claude

ChatGPT

Your ChatGPT gets the vendor tables as an app, with Actions on Business and Enterprise workspaces. Best for Teams standardised on ChatGPT Connect ChatGPT

Cursor, Codex and other agents

Point any MCP client at the endpoint with an API key to build your own vendor agent. Best for Engineers automating vendor ops MCP setup

REST API

The tables and Actions behind the MCP server, as documented REST endpoints. Best for Feeding ERP and planning tools API reference

BigQuery

Retail Analytics, forecasts and POs land in your own dataset, free to switch on. Best for Data teams and Looker Studio Connect BigQuery

Excel, Power BI & files

Scheduled CSV, Excel or JSON files, plus refreshing links for Excel and Power BI. Best for Finance and the monthly vendor P&L How exports work
• Vendor access control

Read-only to start,
you switch on every write

Connecting Vendor Central gives your agent read access and nothing more. Listing, A+, Ads, purchase order and shipment Actions stay off until you enable them, and invoices are read-only in DataDoe.

Explore security Trust Center
Read access firstConnecting changes nothing.
One switch per ActionListings, A+ and Ads apart.
Dry runPreview a change, nothing is sent.
Scope per accountRead-only here, read-write there.
Action logEvery write with its payload.
Revoke in one clickAccess ends immediately.
• The Builds

Vendor dashboards built
from one prompt

Each of these started as one sentence to Claude and was built live on real Vendor Central data: a vendor P&L, a shared Cowork dashboard and an inventory health report.

Watch it on YouTubeYouTube Check out the AcademyAcademy
Vendor Central profit and loss dashboard built in Claude Code

Vendor P&L in Claude Code

Shipped revenue, COGS and margin per ASIN, rebuilt from the raw Vendor Central tables.

Shared Vendor Central dashboard built in Claude Cowork

Vendor dashboard in Cowork

A shared view your team refreshes by asking, not by exporting.

Vendor Central inventory health report generated with Claude Code

Vendor inventory health report

Sellable, aged and unhealthy stock per ASIN in one generated report.

FAQ

Vendor Central questions? Answered.

An MCP server lets AI clients such as Claude and ChatGPT use outside data and tools. A Vendor Central MCP server connects them to your Amazon Vendor Central account. DataDoe reads Retail Analytics, forecasts, purchase orders, invoices and Amazon Ads by ASIN, and can update listings, A+ Content and campaigns, acknowledge purchase orders and submit shipments when you allow it.

Connect your Vendor Central account to DataDoe by authorizing it inside Vendor Central, one marketplace at a time. Then add DataDoe as a connector in ChatGPT and sign in; no API key is needed. From then on you can ask about your vendor data in plain English, and ChatGPT asks before any change it makes.

Connect Vendor Central to DataDoe, then add DataDoe in Claude under Customize → Connectors → Add and sign in. One connector works in Claude on the web and desktop, in Claude Code, and in the Claude add-ins for Excel, Word and PowerPoint. The step-by-step guide is on the Claude connect page.

No. Amazon's Selling Partner plugin, released in beta in September 2026, covers Seller Central for US third-party sellers. It does not read Vendor Central. Amazon's separate Ads MCP covers advertising only. DataDoe covers Vendor Central, Seller Central and Amazon Ads in one schema, in Claude, ChatGPT and other MCP clients.

Amazon's Selling Partner API has vendor endpoints for retail procurement, Direct Fulfillment, invoices and reports such as Retail Analytics. Building on it means handling authorization per marketplace, report scheduling, rate limits and schema changes. DataDoe does that for you and gives you the result through MCP, a REST API, BigQuery and exports.

Yes, with DataDoe and your permission. For vendors, write access covers creating and updating listings, replacing images, A+ Content, and Sponsored Products, Brands and Display campaigns. Your agent can also acknowledge purchase orders, submit shipments and ASNs, and handle Direct Fulfillment orders and labels. Invoices stay read-only. Every Action type is off until you enable it, most AI clients ask before a change, and you can preview it as a dry run first.

Yes. Your agent can draft A+ Content, attach it to your ASINs, validate it and submit it for Amazon's approval, with images uploaded through DataDoe. Premium A+ modules cannot be read back through Amazon's API, so the agent works with standard modules.

The one your team already uses. Claude, ChatGPT, Cursor, Codex and Gemini all work through MCP. What decides the quality of the answers is the data underneath: joined Vendor Central, Seller Central and Ads tables with history, and the right to act on them. DataDoe provides that layer to every client.

Yes. Turn on BigQuery and your Vendor Central tables appear in a dataset for Looker Studio, Power BI or your own models. You can also run one-off or recurring CSV, Excel and JSON exports, connect Excel and Power BI directly, or use the REST API.

It depends on what Amazon's API returns. On the day you connect, DataDoe loads about two years of Retail Analytics and promotions, about a year of Brand Analytics, about 90 days of invoices and about 30 days of purchase orders and Direct Fulfillment orders. Amazon only exposes its latest forecast, so forecast history starts the day you connect.

Yes. Vendor Central, Seller Central and Amazon Ads accounts sit in one organization, so one question can span both channels for the same ASINs. Net PPM exists only on the vendor side and P&L with your own COGS only on the seller side, so DataDoe shows them side by side rather than as one blended number.

DataDoe has passed Amazon's Public PII audit, connects through Amazon's own authorization, encrypts data at rest and in transit, and keeps every organization's data isolated. Write access is off by default, your data is never used to train AI models, and you can revoke access at any time.

$97 per month after a 14-day free trial. It is the same single plan for vendors, sellers and agencies, with unlimited Amazon connections and no separate vendor tier. Larger teams can ask about Enterprise.

Need more details?

We'll walk you through DataDoe on your own Vendor Central account and show what your team can build on it. Just reach out.

Book a demo
• Get started

Bring Vendor Central
into your AI. 14 days free.

$97 a month after the trial, with every vendor, seller and Ads account on one plan. Want to see it on your own Vendor Central first? Book a walkthrough.

Start free trial Book a demo
  • Retail Analytics to A+
  • Claude, ChatGPT or any MCP client
  • Writes off until you enable them
  • Approved by Amazon for PII