Adbrew MCP works with
Analyze & control retail media campaigns using your AI assistant
Adbrew’s MCP brings your Amazon ads data into your AI chat window so you can view, analyze,
and make changes across multiple campaign and accounts with ease.
CAPABILITIES
REPORTING
One answer instead of separate dashboards and spreadsheets
Ask how performance changed across every account you manage and get one answer, instead of switching accounts and stitching reports together.
BIDS & BUDGETS
Every change is recorded in Adbrew’s Change History
Update bids, budgets, placements and campaign states while you’re working through an analysis. Each change shows up in Change History with who made it and why.
KEYWORDS & TARGETING
Added to your existing ad groups
Add new keywords, product targets, negatives and product ads to your existing ad groups in the same conversation where you found them.
SHARE OF VOICE & PROFIT
Keyword rank against competitors and product-level profitability
Check your share of voice against competitors on the keywords that matter, and see which products are profitable after ad spend.
BUILT FOR SCALE
You set the limits, like target ACOS, bid caps and active hours, and Adbrew works inside them. Every change is logged with the rule that triggered it.
Every metric is defined once and calculated the same way, so Adbrew and your AI assistant show you matching numbers.
One rule linked to many campaigns
Write a rule once and link it to as many campaigns as you want. Fix the rule and the fix applies to all of them, around the clock.
USE CASES
How teams use Adbrew’s MCP
ASK SOMETHING LIKE
“Which of my rules are too strict and never fire?”
Export run history and check each rule by hand
“Suggest a better dayparting schedule based on my hourly performance.”
Pull hourly reports into a spreadsheet and build the schedule yourself
“Which campaigns have no automation, and which ruleset should they be on?”
Check every campaign against every ruleset, one account at a time
“My sales dropped on Tuesday. What changed in the account?”
Dig through change logs and ask the team who touched what
“Which of my 12 clients had the biggest ACOS jump last week?”
Open 12 dashboards and copy the numbers into a spreadsheet
“Where did we lose top-of-search share to competitors this week?”
Search each keyword on Amazon or wait for the weekly report
TESTIMONIALS
How we’ve made a difference
We place huge value on strong relationships and have seen the benefit they bring to our business.
Comparing accounts used to mean logging in to each one, downloading the same report over and over and lining them up in a spreadsheet. Now I ask one question, like which accounts had the biggest jump in ACoS last week, and the answer covers every account I have access to. I don't have to remember which tab belongs to which client.
Daniel Steinhauer
Advertising Team Lead, TRD Solutions
FAQs
Which assistants does it work with?
Claude, ChatGPT, Copilot and any assistant that supports remote MCP connectors.
How is it different from Amazon’s Ads MCP?
Amazon’s MCP gives the AI your raw ad data. Adbrew also gives it your rules, so it can improve how your whole account is managed.
Can the AI change things without me knowing?
No. It only acts when your team asks, and every bid, budget, placement and status change is logged in Change History.
Can it edit my rulesets and dayparting?
Not yet. It suggests changes and your team applies them. Direct editing is next on our roadmap.
Do I need to be technical?
No. Paste one URL, sign in, and you’re set.
Book a personalized demo to see how your team can analyze and manage Amazon ads across every account, right from your AI assistant.
What can you expect?
A live walkthrough of Adbrew MCP in Claude, ChatGPT or Copilot.
Real prompts on sample accounts, from performance reviews to bid changes.
How rulesets, limits and Change History keep AI changes in check.