5 Things You Can Do with Amazon MCP in Under 10 Minutes
Last Wednesday afternoon you sat down to figure out which of your top SKUs are actually profitable after all the 2026 fee changes. You opened the FBA fees report. The inventory adjustments ledger. The Sponsored Products spend export. The returns data. Two hours in, you had four CSV files, three browser windows, two pivot tables, and one half-finished analysis you would not trust enough to make a reorder decision off.
No answer.
This is the kind of task that takes ten minutes with Claude connected to your Amazon account through an Amazon MCP server. So is the listing audit you have been putting off. The reimbursement claims you keep meaning to file. The negative-keyword cleanup you have been telling yourself you will get to.
Five things that used to eat half a workday. Each one is one prompt now.
Key Takeaways
- Five concrete Amazon MCP workflows you can run in ten minutes or less — real-margin audit, reimbursement claims, listing optimization, wasted ad spend, price-and-promo impact
- Each task used to take an afternoon. Each one now takes one sentence to Claude
- Every prompt below pulls live data through your MCP connection — no exports, no spreadsheets, no copy-paste
- The biggest unlock is stacking them into a recurring weekly routine
What You Need to Use Amazon MCP for These Five Tasks
Two prerequisites. You need an Amazon Seller Central account and an AI client that supports MCP — Claude Pro, Claude Code, or ChatGPT Plus. If you have not connected your account to an Amazon MCP server yet, the setup walkthrough is in our 10-minute Connect Claude to Amazon guide, and the plain-English explainer of what an Amazon MCP actually is lives in our Amazon MCP explainer. Once the connection is live, the five workflows below run inside any AI conversation.
THING 1 · 10 MINUTES
Run a Real-Margin Audit on Your Top 20 ASINs
You know your ACoS. You probably do not know your true per-unit profit on each top SKU after the 2026 FBA fee increases, the inbound placement fee, the returns processing cost, and the average advertising spend per order. Most sellers are still calculating margin on numbers from a year ago.
The manual workflow takes an afternoon: pull fee reports, pull ad spend, pull returns, build a spreadsheet, hope you got the formulas right.
Thing 1 — Real-Margin Audit
“Pull my top 20 ASINs by revenue in the last 30 days. For each one, calculate the true profit per unit after FBA fulfillment fees, inbound placement fees, referral fees, returns processing, and average Sponsored Products spend per order. Flag any ASIN where the true profit per sale is below my current target ACoS — those are the products I am losing money on every sale.”
What comes back is the table you have always wanted: ASIN, revenue, true profit per unit, and a flag column showing which products are bleeding money under cover of a healthy-looking ACoS. Ten minutes to know which SKUs deserve more inventory and which deserve a hard pricing conversation.
THING 2 · 10 MINUTES
Surface Your Unfiled Reimbursement Claims
Amazon’s Inventory Adjustments Report tracks every time the warehouse loses a unit (reason code M for misplaced) or damages one (reason code E for damaged at fulfillment center). When Amazon reimburses you for one of those events, a corresponding code O entry appears. The gap between the M+E entries and the O entries is money Amazon owes you that you have not claimed.
Most sellers find these by exporting a CSV and squinting at it quarterly. The result: claim windows expire and the money never comes back.
Thing 2 — Reimbursement Opportunities
“Pull my Inventory Adjustments Report for the last 90 days. Filter for adjustments with reason code M (misplaced/lost) and reason code E (damaged at fulfillment center). For each entry, check whether there is a corresponding reason code O (reimbursement) for the same FNSKU on or after that date. List the unreimbursed adjustments — date, ASIN, FNSKU, quantity, and adjustment cost.”
What you get back is a clean list of every claim you can file before the eligibility window closes. Industry consensus is that sellers running this audit weekly recover meaningfully more than those checking quarterly. Real money Amazon owes you, surfaced in ten minutes.
THING 3 · 10 MINUTES
Identify Your Top Listing Optimization Candidates
Every Amazon catalog has a small number of ASINs sitting on a problem nobody named — they get plenty of impressions and barely convert. The traffic is there. The listing is not closing the sale. The fix usually lives buried in your one-star and two-star reviews: shoppers tell you the exact objection that stopped them, you just have to read three hundred reviews to find the pattern.
The manual version of this audit is unrealistic. The Amazon MCP version takes one prompt.
Thing 3 — Listing Optimization Candidates
“Find my ASINs with the largest impression-to-conversion gap — products with thousands of impressions in the last 30 days but conversion rates well below the average for my product category. For each one, read the 1-star and 2-star reviews and surface the top three recurring buyer objections.”
The output is a prioritized rewrite list: which listing to fix first, and exactly what shoppers are complaining about. Amazon-wide conversion averages run roughly nine to eleven percent across all categories — but high-consideration categories like Electronics run lower (three to eight percent) and consumables like Grocery and Beauty run higher (fifteen to twenty-five percent), so let the prompt compare you to your own category, not the all-platform number. Ten minutes to know exactly which titles, bullets, and images need a refresh.
THING 4 · 10 MINUTES
Mine Wasted Spend From Your Auto-Targeted Campaigns
Sponsored Products auto-targeting campaigns are designed to discover keywords for you. They are also designed to bleed money — every campaign accumulates dozens of search terms that have spent real dollars and converted nothing. Industry baseline for “this term is dead” is roughly thirty-five dollars of spend at zero conversions.
The Search Term Report lives at Reports → Advertising Reports → Sponsored Products → Search Term Report in Seller Central. Pulling it manually and finding the dead terms is a ninety-minute job. Through your Amazon MCP it is one prompt.
Thing 4 — Wasted Spend Negate List
“Pull my Sponsored Products Search Term Report from the last 30 days, filtered to auto-targeting campaigns. List every search term with 35 dollars or more in spend and zero conversions. Format the output as a clean negate list I can paste back into Seller Central as exact-match negatives.”
You get a ready-to-paste negate list. Apply it once a week and your auto campaigns stop hemorrhaging budget to keywords that are never going to convert. Ten minutes to close the leak.
THING 5 · 10 MINUTES
Measure the Real Impact of Your Price and Promo Changes
You ran a fifteen-percent-off promotion three weeks ago. You raised the price on another SKU two months ago. You think the promotion worked and the price hike was fine. You do not actually know what happened to per-unit profit margin in either case because units, revenue, and margin moved in different directions and your gut is not a reliable analyst.
Thing 5 — Price and Promo Impact
“For my top 10 SKUs by revenue, compare every price change and promotional campaign in the last 90 days against units sold, revenue, and per-unit profit margin. Identify which price adjustments lifted total revenue and which quietly killed margin even when units stayed flat.”
The answer separates the price moves that actually grew your business from the ones that just looked like they did. Ten minutes to know whether last quarter’s pricing experiments earned their keep.
How to Stack These Amazon MCP Wins into a Monday Routine
The compounding value is not in running any one of these prompts once. It is in running them in sequence every Monday morning before your week starts.
Monday Morning Stack — 50 Minutes Total
- Thing 4 (10 min) — negate the dead search terms from last week’s auto campaigns
- Thing 2 (10 min) — file the reimbursement claims that surfaced this week
- Thing 5 (10 min) — review the price/promo impact on anything you changed last week
- Thing 3 (10 min) — pick one underperforming listing to rewrite by Friday
- Thing 1 (10 min) — confirm your top 20 ASINs are still profitable at current fee rates
Run this sequence weekly for a quarter and you will have closed more revenue leaks, recovered more reimbursement dollars, and tightened more listings than most sellers do in a year of “I really should get to that.”
Common Questions
Do these prompts work with both Claude and ChatGPT?
Yes. The Amazon MCP is the bridge. Whichever AI client you have connected to it — Claude Pro, Claude Code, or ChatGPT Plus — runs the same prompts against the same data. Pick the one you already use.
Can I customize the thresholds in the prompts?
Every number in every prompt is a placeholder you can swap for your own. The thirty-five dollar negate threshold, the thirty-day window, the top-20-ASIN cutoff — adjust each one to fit your business size and category.
How fresh is the data Claude is pulling?
The Amazon MCP queries live data from Amazon’s Selling Partner API and Advertising API. The numbers Claude returns are as current as Amazon’s own reports show them — typically within an hour for sales and inventory, slightly longer for advertising metrics.
What happens if my account is too small for these workflows to matter?
The audits scale to any catalog size. A seller with three SKUs and a seller with three thousand both benefit — the ratios of wasted spend, unrecovered reimbursements, and untrue margin are usually similar, so a small catalog gets a fast clean read and a large catalog gets a prioritized hit list.
Pick One. Run It Monday Morning. See What Comes Back.
The Amazon MCP closes the gap between knowing what you should be auditing and actually auditing it. Seller Labs runs the managed Amazon MCP server built specifically for sellers — your margins, your inventory, your campaigns, your reimbursements — connected to whichever AI you already use. Start with any one of the five things above this week and stack the rest in as the routine sticks.
See How Sellers Are Using MCP
- We Connected Amazon Sellers’ Data to AI. They Only Asked About One Thing. — What real sellers do first when they connect their Amazon data to Claude.
- Amazon’s Launch of Their Own Amazon Ads MCP — A Seller’s Analysis — What Amazon’s official Ads MCP means for your campaign workflow.
- The AI Gap Is Coming for Amazon Sellers — Here’s Which Side You Want to Be On — Why sellers connecting their data to AI are pulling ahead.
- Can I Pull MCP Data Into My Own Data Warehouse? — The MCP question advanced sellers start asking once they get past the basics.
Related Reading
- What Is an Amazon MCP? An Explainer for Sellers — the plain-English foundation post
- How to Connect Claude to Your Amazon Seller Account in 10 Minutes (No Code) — the setup walkthrough that gets you to the prompts above
- Amazon Ads MCP Server: What Sellers Need to Know
- The Amazon PPC Audit System That Finds Wasted Ad Spend Every Month
The post 5 Things You Can Do with Amazon MCP in Under 10 Minutes appeared first on Seller Labs: Amazon Seller Software and Platform.
