Seller Labs Amazon MCP

npx add-mcp 'https://ignite-api.sellerlabs.com/mcp'

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The 80% Rule That Kills a $72K Amazon Agency Bill

Why pay $72K/year for dashboards built on data the Seller Labs MCP already gives you.

Your Amazon MCP Is Live. Ask Claude These 3 Questions First.

The three prompts to run on day one with the Seller Labs MCP connected.

The Free Seller Labs Ad Audit That Claude Runs in 10 Minutes

A free 13-section ad audit Claude runs through the Seller Labs MCP, then fixes what it finds.

Trusted By

★★★★★

Cutting-edge solutions that keep pace with the business

“Very cutting edge minds and an ever growing number of solutions for the evolving economy. I’ve been using for years and they have helped my business immensely.”

John Fleitz

CEO, Plethora7

★★★★★

A data engine for powering business decisions

“What started out as just an automated way to get customer reviews has turned into a data engine for powering business decisions… Zero hesitation to recommend them to any business or agency looking to level up and create a bigger moat.”

Rolando Rosas

Global Teck Worldwide

★★★★★

A genuine time-saver, not a gimmick

“Marknology plugged the Seller Labs MCP straight into our workflow and it holds up under real account data. It is a genuine time-saver, not a gimmick.”

Andrew Morgans

Marknology, Amazon Agency

Your AI is not reconciling your reports clearly.

Amazon Seller Central

Inventory

142 units 0 units

STALE

Ad Spend (7d)

Settlement Report

$14,220.00

Business Report

$14,882.40

Four tabs. Four different numbers. No error, no explanation.

Claude, via Seller Labs MCP

Why don’t my reports agree with each other?

Your Business Report and Settlement Report disagree because the Business Report includes pending orders that haven’t settled yet. Here’s the reconciled number:

Source	Reports	Reconciled
Settlement	$14,220.00	$14,220.00
Business Report	$14,882.40	$14,220.00

✗

> scanning for errors_

The problem

Your AI is guessing at your Amazon numbers

• Reports lag, freeze, and drop rows with no visible error
• The same order gets counted twice under two names
• You’re still reconciling reports by hand

→

✓

> reconciliation verified_

The solution

Give it reconciled data instead

• Seller Labs cleans and reconciles the data first
• True SKU profit after COGS, fees, ads, and returns
• Approved actions execute without Seller Central

You’re not just buying a connector. You’re buying the data infrastructure behind it.

Why raw Amazon data breaks AI

One question. No report downloads. No spreadsheet.

Claude · Seller Labs Amazon MCP connected

Which SKUs lost money last month once you include fees, returns, storage, and ad spend?

Checked 438 active SKUs against reconciled July settlement data. Four are net negative:

SKU	Units	Revenue	True net	Margin
NCL-4421-BLK	1,284	$38,412	-$4,106	-10.7%
NCL-2210-2PK	746	$21,908	-$2,733	-12.5%
NCL-8890-LG	412	$14,220	-$918	-6.5%
NCL-1102-SM	203	$5,844	-$377	-6.5%

Worth flagging: NCL-4421-BLK shows a 3.1x ROAS in Amazon’s ad console. The loss comes from a 19% return rate plus $2,840 in long-term storage fees, reported separately by Amazon but allocated to this SKU here.

Want me to pause the two campaigns driving spend on NCL-4421-BLK?

Illustrative example using representative data. Replace with a real anonymized customer session before launch.

What operating Amazon through AI actually looks like

✗

Without Seller Labs

• Downloading a new Amazon report every time you have a question
• Guessing at SKU profitability from sales numbers alone
• Finding expensive problems after they’ve already cost you money
• Making every change by hand inside Seller Central

→

✓

With Seller Labs

• Never download another Amazon report
• Know true SKU profitability, not just sales
• Catch expensive problems before they cost you money
• Execute supported actions without Seller Central

Imagine asking Claude:

“Which SKUs quietly lost money last month?

“Did Amazon underpay me last week?

“Show me every keyword wasting over $500/month.

“Which campaigns should I pause today?

“Write tomorrow’s PPC optimization plan.

“Audit every listing that could lose Buy Box.

What happens after you connect

No implementation project. No data engineer. No onboarding call required.

Minutes

Your account is connected

Authorize Seller Labs and add the connector to Claude or ChatGPT.

About 2 days

Your data starts flowing in

The MCP begins pulling and reconciling your Amazon data from the day you connect. It can’t pull data from before setup.

Week one

True profit by SKU, once COGS is in

Historical cost application, account-level fee allocation, and the daily profit pivot.

Week two

Your first audits and monitors are running

Duplicate keywords, out-of-stock campaigns, TACOS drift, placement gaps, reimbursement tracking.

Month one

Your team asks the AI instead of asking your analyst

The recurring reports your analyst rebuilt every week now run on a schedule.

Month three

Profit leaks you were not looking for are closed

How to connect Claude or ChatGPT to your Amazon account

Three steps. No developer portal, no API credentials to manage, no database to stand up.

1

Create your Seller Labs account

Authorize Seller Labs against Seller Central and Amazon Ads using Amazon’s standard consent flow.

2

Add the MCP to your AI tool

Paste one connector URL into Claude or ChatGPT. Nothing to install or self-host.

3

Ask your first question

Start with a starter prompt, or ask what changed in your account since yesterday.

Building this yourself

4 to 6 weeks

SP-API and Ads API integration, a warehouse to host it, schema-change maintenance, then the hard part: correctly modeling Amazon profitability across settlements, fee types, and account-level charges that never join to a SKU.

Connecting Seller Labs

15 min setup

The transaction logic, enriched tables, and profitability infrastructure already exist and are already maintained. You are renting years of finished data engineering.

Not sure how to get started with AI once your account is connected?

Seller Labs will guide you.

Get a free inventory and advertising audit.

Seller Labs will review your account and show you what’s actually happening, at no cost.

• Inventory health check: stockout risk, excess stock, and restock timing
• Advertising audit: wasted spend, underfunded winners, and structure issues
• A plain-language summary, not a raw data dump

$0

Cost to find out what’s wrong

Five things your AI can run for you

Workflows customers build in their first month.

Daily Amazon Account Brief

What changed overnight, before you open Seller Central.

PPC Profit Monitor

Find what to change, understand why, and change it in one conversation.

Continuous Account Audit

An agency-grade audit that runs every other day, not once a quarter.

Profitability Control Room

The full economics of every SKU, not just sales and ad metrics.

Amazon Leakage Monitor

See reimbursements Amazon has issued in one place, without diffing four reports by hand.

Agency Intelligence Platform

Your playbook, running as an operating system across every client.

Your operating logic, made repeatable

Turn how your best operator thinks into something the system can run

Every account has someone who just knows when a campaign looks wrong or a SKU is quietly bleeding money. Encode how your best operator evaluates campaigns and accounts so the process can be reused, reviewed, and improved instead of trapped in one person’s head, which is exactly what the Agency Intelligence Platform is built to do.

Warnings on the changes that carry the most risk

Every write action is logged before it runs, full stop. On top of that, the highest-risk actions get an extra warning: launching a campaign against low inventory (under 14 days of supply), or setting a budget more than 2x your 30-day average. You also control tool permissions in your AI client, including requiring confirmation on every action if you want it.

1

Agent identifies the action

2

High-risk actions surface a warning first

3

Seller Labs executes the action

4

Every action is written to your audit log

Not all “AI-ready” Amazon data is ready, and almost none of it can act.

Capability	Amazon API or MCP	Thin connector	Build it yourself	Seller Labs
Time to connect	Weeks	Days	4 to 6 weeks	Under 15 min
Time to trusted profit data	Weeks	Days to weeks	Months	Days
Cross-source reconciliation	No	Rarely	You build it	Yes
Unified transaction data	Not in API	No	Not in API	Rebuilt
SKU profitability with your COGS	No	Varies	Months of work	Yes
Write-back with built-in guardrails	No guardrails	No	You build the guardrails	Yes

Amazon MCP questions, answered

How do I connect Claude to my Amazon Seller Central account?

Create a Seller Labs account and authorize it against Seller Central and Amazon Ads through Amazon’s standard consent flow, then add the Seller Labs MCP connector to Claude. There is nothing to install, self-host, or configure in a developer portal. Most accounts are connected in under 15 minutes, and historical data is fully imported within about 2 days.

How much does MCP Genius cost?

MCP Genius is priced by tool calls, not by your Amazon revenue. Free includes up to 100 tool calls a month (500 lifetime). Paid plans start at $39/month for 101 to 400 calls. See full pricing

Does Amazon have an official MCP server?

Amazon exposes data through the Selling Partner API and Advertising API. Those give you access to raw responses, not a reconciled dataset. They do not retain history for you, do not compare sources against each other, do not tell you when a feed is stale or partial, and contain no cost or profitability logic. Seller Labs sits on top of those sources and maintains the layer in between.

Can I connect ChatGPT instead of Claude?

Yes. The Seller Labs MCP works with any client that supports the Model Context Protocol, including Claude, Claude Code, and ChatGPT. The same connection serves all of them, so you are not locked to one AI vendor.

Can the AI actually change my campaigns, or is it read-only?

It can change them. Every write action is logged to your audit trail. The highest-risk actions, like launching a campaign against low inventory or setting an unusually large budget, surface a warning first. You also control tool permissions in your AI client, including requiring confirmation on every action.

Why can’t I just point my AI at the Amazon API myself?

You can, and building the connector is the easy part. Correctly modeling Amazon profitability is not. Fees arrive across multiple report types, some charges never join to a SKU, report schemas change without notice, and Amazon’s own sources contradict each other. Teams typically spend four to six weeks getting to a first trustworthy answer, then own the maintenance forever.

What is the unified transaction report, and why does it matter?

It’s the settlement-level view accountants need to reconcile Amazon cash to individual SKUs and fees. Amazon’s API returns settlement data, but it doesn’t tie that cash back to SKU-level economics on its own. Seller Labs rebuilt that link from the Finances API, which is what makes true SKU-level profitability possible for your AI.

How much history do I get?

Data starts accumulating the day you connect, so we can’t pull in history from before setup. From there, Seller Labs keeps building and retaining your history for up to two years, well past Amazon’s own limited report windows.