Skip to main content

Your Kapoq data.
Connected to your AI assistant.

The Kapoq MCP connector lets your team securely query advertising, sales, and inventory data through plain-English conversation in Claude, ChatGPT, or Gemini — no exports, tab-switching, or waiting on reports.

you › Which ASINs are at risk of stocking out in the next 30 days?
via Kapoq MCP
Pulling current stock, daily velocity, days of cover, and inbound shipments…

12 ASINs at risk. Top exposure:
  • B07XYZ123 — 11 days cover, $642/day, no inbound
  • B08ABC456 — 14 days cover, $410/day, 200 units arriving day 22
  • B09DEF789 — 18 days cover, $890/day, no inbound

Want me to draft the restock plan?
you › What was the profitability of our top 5 ASINs during Prime Day?
via Kapoq MCP
Pulling unit economics, ad spend, FBA fees, returns, and promos for the Prime Day window…

Net profit: $128,400 across top 5 ASINs (blended margin 24.7%):
  • B07XYZ123 — $42,180 net, 28% margin (best mover)
  • B08ABC456 — $31,560 net, 25% margin, promo lift +312% vs. baseline
  • B09DEF789 — $24,830 net, 22% margin
  • B0AGHI012 — $18,290 net, 21% margin
  • B0BJKL345 — $11,540 net, 15% margin — coupon stack ate margin

Want me to break down by traffic source?
you › Which resellers have been stealing the Buy Box most often in the past 30 days, and what's the revenue impact?
via Kapoq MCP
Scanning Buy Box ownership timeline and lost-session revenue for the last 30 days…

4 unauthorized sellers detected. Estimated revenue impact: $14,820
  • Discount Depot LLC — 41 hrs unauthorized, ~$6,100 lost (B07XYZ123, B08ABC456)
  • Prime Goods Co — 28 hrs, ~$4,250 lost (B08ABC456)
  • FastShip Direct — 19 hrs, ~$2,890 lost (B07XYZ123)
  • Bulk Bargain Hub — 11 hrs, ~$1,580 lost (B09DEF789)

Want me to draft enforcement letters?
you › Run a full advertising health check and tell me what to change.
via Kapoq MCP
Pulling 28-day spend, performance, and waste analysis across Sponsored Products, Brands, and Display…

$94,310 spent · ACoS 22.4% · ROAS 4.47x · CTR 0.41%

Top 3 recommendations:
  1. Pause 12 keywords burning $4,820 with 0 conversions
  2. Raise bids 15% on 8 top keywords (11.3% conv. rate, currently bid-capped)
  3. Shift $6K from broad to exact match in branded-defensive campaign

Projected impact: −18% ACoS, +$22K revenue. Want a breakdown by campaign type?
Works with every major AI assistant
Claude
ChatGPT
Gemini
Copilot
Custom Agents
What is MCP

Connecting your data to your favorite LLM.

MCP (Model Context Protocol) is an open standard that acts as a secure bridge between an AI assistant and external data sources. Instead of drawing only on its general training knowledge, your AI can now query your systems in real time and return answers specific to your business.

Kapoq's MCP connector creates a direct, secure connection between your Kapoq data and your preferred AI tool, with no manual data uploads required.

Kapoq's MCP works with Claude, ChatGPT, Gemini, Copilot, or any agent you've built in-house — all with one simple integration.
What you can ask

Plain-English questions. Real-time answers.

Once connected, anyone on your team can open their AI assistant of choice and ask questions in plain English. The AI queries your Kapoq data in real time and responds with answers specific to your business.

What were our top performing products last month?
Show me daily total sales for the last 4 weeks — I want to spot any promotional spikes or drop-offs.
Run a full advertising health check: blended ROAS, ACoS, CPC, CTR, and conversion rate for the available window.
Which ASINs are at risk of stocking out in the next 30 days? Include current stock, daily sales velocity, days of cover, and inbound shipments.
Why Kapoq is different

Not all data is created equal.

Querying raw Amazon datasets produces unreliable, inconsistent answers. Kapoq's data model adds context and intelligence before the AI ever sees it — so what comes back is accurate, trustworthy, and ready to act on.

Raw Amazon Data

Hallucinated, inconsistent, hard to trust.

  • Fragmented across reports and APIs
  • Inconsistent metric definitions
  • Requires constant clarification and rework
  • Easy for AI to misinterpret
Kapoq Data Model

Pre-aggregated, contextualized, AI-ready.

  • Six interconnected modules unified into one model
  • Consistent metrics across advertising, inventory, sales
  • Business context embedded before the query runs
  • Trustworthy insights, every time
Security & Trust

Secure, by default.

Your data stays in your Kapoq account. The MCP connector uses scoped, auditable access, so AI assistants only see what you authorize — and you can revoke access at any time.

ISO
27001

ISO 27001 Certified

Independently certified for information security management.

OAuth
2.0

Scoped Access

You decide what each AI assistant can access. Revoke anytime.

K-Stack on GitHub

Validated skills. Free for everyone.

Beyond the connector, we created K-Stack — a place for everyone using the Kapoq MCP to share wins and learnings, and for us to publish tested Skills anyone can drop into their AI assistant.

Every Skill is published under the MIT License — fully open source and free to use. Fork them, customize them for your needs, or contribute your own back to the community.

therealkapoq / kstack Open source
diagnosing-kapoq-data

A two-phase plan-then-execute workflow for diagnosing data anomalies and answering “why is X?” questions against Kapoq MCP data.

Validated
weekly-performance-report

A full weekly brand performance dashboard with trended metrics, ad performance, and inventory health — so your team isn't building it manually.

Validated
daily-brand-check

A persistent dashboard for monitoring brand health each morning — 30-day trends vs. prior period and YoY across ads, products, search terms, and inventory.

Validated
search-term-dashboard

A 12-module deep dive into Amazon search term intelligence — wasted spend, keyword harvesting, brand vs. competitor, match-type efficiency, and more.

Validated
Customer Stories

How brands & agencies are using the Kapoq MCP.

Hear from teams using natural language to query their Amazon data and streamline their processes.

Frequently Asked Questions

The Kapoq MCP begins with high-quality, consistent data, which means that your AI assistant is querying data that is reliable. Kapoq's data is solidly rooted in algorithms. We provide reasoning behind each calculation; our data isn't in a black box.
The Kapoq MCP works with any of your chosen AI assistants, including ChatGPT, Claude, Gemini, Copilot, or any LLM that supports MCP.
No. The AI assistant only has access to data you've authorized it to see, and you can revoke access at any time.
No. The AI assistant only has access to read data from the Kapoq Datalink. Edit / write-back actions are not supported at this time.
Yes! Request access by filling out the form below.
Request access

Get started with Kapoq MCP.

Tell us about your team and we'll help you connect Kapoq to your preferred AI assistant.