Amazon Agent Iris

Create Amazon listing images and product video from your live catalog.

Amazon Agent Iris is an Amazon listing image and video generator that works from your live catalog. It combines AI image generation and Google Veo 3.1 with real product references, listing facts, Amazon-specific creative guidance, human approval, and the Selling Partner MCP, so your team can create and review visual assets from the AI client it already uses.

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Gemini Nano Banana

OpenAI gpt-image-2

Google Veo 3.1

Seller Central rules

Navy sherpa-lined hoodie in an Amazon listing-video shot generated by Agent Iris

Generated with Iris

Two product references into motion

8 sec · 1080p

The loop

How Amazon listing creative closes the loop.

Read. The Selling Partner MCP reads the live catalog, product facts, current image stack, variation family, and suppression state. Iris begins with the listing Amazon is actually serving.

Plan. Choose the missing visual job: a compliant main image, a richer gallery, a product-overview video, an unboxing, a how-to, a setup sequence, or a troubleshooting shot. The listing supplies the facts; the seller's real images supply the product reference.

Create and review. Iris generates or edits the image, or creates the Veo shots and sequence plan. Images get an Amazon-specific audit. Video gets a product-fidelity review so changed labels, colors, materials, controls, proportions, or included parts do not quietly become listing content.

Deliver. Approved images can publish through the Selling Partner MCP and be checked for ingestion. Video returns as collected clips with a shot order and finishing notes for assembly and Seller Central upload. Nothing reaches the listing until you approve it.

Iris owns visual listing optimization. The Amazon Listing Optimizer handles titles, bullets, search terms, and A+ structure. Both can work from the same live listing through the MCPs.

Listing video

Turn Amazon listing images into product video.

The same product references that anchor a listing image can anchor motion. Iris uses Google Veo 3.1 to create product-overview, feature, unboxing, how-to, setup, troubleshooting, and brand-story shots while carrying the listing facts and product-fidelity review into every result.

Two product references

Front view of a navy full-zip hoodie on white — Main product image

Close-up of pale blue sherpa lining inside the navy hoodie — Material detail

Reference images in. A listing-video shot out.

The front view anchors the navy fleece, cream drawcords, silver zipper, and hem tab. The detail image supplies the pale blue sherpa lining revealed in the generated shot.

2 references · 8 seconds · 1080p · 16:9 · Veo 3.1 Fast

A navy full-zip hoodie rotates slowly against a white studio background while the open front reveals its pale blue sherpa lining.

Reference image → generated video

Pale green Ollie tube and jar among lemons and tropical foliage — Product reference

Generated shot

Two pale green Ollie skincare products sit among lemons, avocado, and tropical foliage as the camera moves through the scene.

16:9 · 1080p

Reference image → generated video

Pale green Ollie tube and jar among wet tea leaves — Product reference

Generated shot

Two pale green Ollie skincare products stand in wet tea leaves while rain and sunlight animate the vertical scene.

9:16 · 1080p

These are individual Veo shots, not finished one-minute listing videos. Iris can generate a shot set or extend a Veo sequence and returns the clips, shot order, and finishing notes. Multi-shot editing, required metadata work, and the final Seller Central video upload remain external.

Why us

Iris is listing-aware, reference-driven, and connected to the actions around it.

Seller Central gives it listing context

The Selling Partner MCP supplies catalog attributes, the current image stack, category context, and suppression state from the live account.

The existing images become the reference set

Iris starts with the product Amazon already knows, reuses the current gallery, and can accept seller-supplied photos through a signed upload.

It builds stills and motion together

Generate or edit main, feature, infographic, lifestyle, and detail images, then use the same references for product-video shots.

Fixes rejects, not just makes new ones

Audit any image for a pass / fix / reject verdict and the exact change — including the error-100239 title mismatch.

Product fidelity is reviewed, not assumed

Images hold brand marks exact. Video shots are checked against the references for labels, colors, materials, controls, included parts, and proportions.

Each format gets the right handoff

Approved images can publish and verify through the Selling Partner MCP. Video returns with the shots, sequence, and finishing notes.

Category comparison

How Iris differs from a standalone image or video generator.

A standalone generator starts with a prompt or uploaded photo and stops at a downloadable file. Iris starts with live Seller Central context, the listing's current media, real product references, and the rules for the visual job. It keeps image publishing connected to the listing and returns video with the plan needed to finish it accurately.

Iris owns the visual work. Run it with the Product Creative Skill for main images, lifestyle scenes, infographics, detail shots, audits, and suppression fixes. For titles, bullets, search terms, and A+ structure, use the Amazon Listing Optimizer. For image and video setup, see the Amazon Agent Iris documentation.

For a named comparison of the whole platform against a listing design tool, using the same criteria and dated sources, see Kuudo vs Pixii.

Capability	Standalone generator	Amazon Agent Iris
Listing context	Public ASIN or uploaded photo	Live catalog attributes and current image stack
Product reference	One uploaded photo or a blank prompt	Current listing media plus seller-supplied references
Creative work	Generates downloadable assets	Images and video shots from real product references
Compliance	Template guardrails	Listing-aware rule check with exact fixes
Publishing	Manual upload	Approval-gated image publishing through the Selling Partner MCP
Video handoff	Stops at download	Video shots, shot order, and finishing notes

No creative meter

No image credits. No video credits. No Kuudo markup.

Bring your own Google or OpenAI key for images and your Google key for Veo video, then pay the model provider directly. Kuudo does not sell creative-credit packs or add a generation markup. The platform is priced around your team, marketplaces, and Amazon API activity, and it runs in your own infrastructure.

What you get

Amazon listing images and video across the creative stack.

Built from your real product

Iris works from the live listing — the actual product, its attributes, its images. Not a scraped public page, not a blank prompt you have to guess at.

Build the complete image stack

Generate the main, feature, infographic, lifestyle, angle, detail, and instructional images the listing still needs.

Turn those references into motion

Create landscape or portrait Veo shots for a product overview, unboxing, how-to, setup, troubleshooting sequence, or brand story.

Change one thing, keep the rest

Tweak a color, swap a background, try a new angle. The product stays itself across every edit, so you never start from scratch.

Fidelity has a review protocol

Images hold labels and logos exact. Video checks colors, materials, controls, included parts, text, and proportions against the references.

The listing rules stay attached

Images receive a pass / fix / reject audit. Video plans carry the duration, content, rights, disclosure, thumbnail, and delivery checks the listing needs.

Real output

The Amazon listing image stack, built by Iris.

Main, lifestyle, angle, and detail images built from the same product reference set that can now drive the listing-video workflow.

Lifestyle
Lifestyle scene, seeded from the product

What the agents say

session feedback

› What did Kuudo actually change about how you work? Be specific.

"This is the first time I've seen image generation and live marketplace publishing work as one motion. The Amazon Agent Iris MCP produced lifestyle and infographic images seeded from the real product, and the Selling Partner API MCP wrote them straight onto the listing and let me verify they ingested into Amazon's CDN — no manual uploads, no Seller Central tabs. Just as important were the guardrails: exact measurements pulled from the catalog, a policy validator gating every image, and the judgment calls left to a human. Powerful and careful at the same time."

Claude Anthropic's AI assistant

For Sellers · 3P · FBA · SMB

One listing. The full visual story.

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For Vendors · 1P · Brand owners

One visual standard, applied across every ASIN.

Jump to section

For Agencies · Catalog · Creative · Marketplace teams

More listing creative without another handoff chain.

Jump to section

For Sellers · 3P · FBA · SMB

One listing. The full visual story.

Start with the product already in your catalog. Iris can repair the main image, fill the gallery, or turn the same product references into video shots that show materials, features, setup, and use. Image changes wait for approval before publishing; video comes back as a reviewed shot set and finishing plan.

Explore listing creative in beta

A search-ready main image checked against pure-white background, about 85% product fill, and full-product visibility rules
Lifestyle, detail, feature, and listing-video shots built from the same real product references
Know what changed, what needs review, and the exact next step before an asset reaches the listing

For Vendors · 1P · Brand owners

One visual standard, applied across every ASIN.

Bring every ASIN up to the same visual standard across stills and motion. Listing facts keep measurements and included parts honest, product references anchor the generated result, and each asset returns with the review and delivery context your catalog team needs.

Explore catalog workflows in beta

Hold one consistent look across the whole catalog, even as you scale to thousands of SKUs
Review logos, labels, materials, colors, controls, and included parts against the product references
Move images and collected video through signed URLs, with no key sprawl and configurable retention

For Agencies · Catalog · Creative · Marketplace teams

More listing creative without another handoff chain.

Run the same listing-aware workflow across client catalogs. Iris pulls the real product context, creates the requested still or video shot, and returns a reviewable asset with the references and decisions attached. Your team keeps the client approval and final call.

Explore agency workflows in beta

Move from one reference set to a complete image gallery and planned video sequence
Change one scene or shot without rebuilding the entire creative direction
Keep the approval trail clear across every client, ASIN, and visual asset

How it works

How Amazon listing creative works in three steps.

step 01

Read the listing and its media

The Selling Partner MCP reads the live catalog, product facts, current image stack, variation family, and listing issues. Seller-supplied uploads can join that reference set.

step 02

Create the image or video sequence

Ask for a main, lifestyle, infographic, detail, product-overview, unboxing, how-to, setup, or troubleshooting visual. Iris creates it from the real product and runs the review that applies.

step 03

Approve the format-specific handoff

Approved images can publish and verify through the Selling Partner MCP. Video returns as collected shots, a shot order, and finishing notes for editing and Seller Central upload.

The floor

Audit Amazon listing images against the rules that apply.

Point the agent at any image and get a line-by-line read — what passes, what needs changes, and the exact fix — before Amazon ever sees it. Amazon still makes the final call; you just stop being surprised by it.

audit · main_image_01.jpg skill · amazon-product-image

background · pass

white ~254 · within model tolerance · normalization recommended

product fill · pass

~84% of frame · within 85% rule

title match · needs changes

error 100239 risk · title mentions "2-pack" · image shows 1 unit

props / text · reject

"new!" badge on lower-left · remove before submission

verdict · needs changes · 2 fixes

Honest framing

Built for listing work, honest about the finish line.

Acceptance

We de-risk and accelerate compliance. We don't guarantee Amazon's final approval — Amazon does.

White background

Image models render at ~254, not exact 255. We get you studio-clean white and flag when a deterministic normalization pass is needed.

Video finishing

Iris generates or extends Veo shots and supplies the plan. Multi-shot editing, required metadata work, and final Seller Central video upload stay external.

Product fidelity

Reference images reduce drift; they do not remove the need to review every video shot for labels, colors, materials, controls, included parts, and proportions.

Repository and registry github.com/KuudoAI/amazon-agent-iris-mcp MCP Registry: io.github.KuudoAI/amazon-agent-iris-mcp

Frequently asked questions

The questions teams ask before they ship.

What is an Amazon listing image and video generator?

It uses product references and listing facts to create the still images and video shots a detail page needs. Amazon Agent Iris adds live catalog context, Amazon-specific image checks, product-fidelity review, approval-gated image publishing, and a listing-video plan instead of stopping at a downloadable asset.

How is Iris different from a standalone image or video generator?

A standalone generator usually starts with a prompt or uploaded photo and stops at a file. Iris starts with the live listing, its current image stack, and the seller's real product references. It applies the rules for the asset being created and keeps approved image publishing connected to the listing through the Selling Partner MCP.

Can Iris create video for Amazon listings?

Yes. Iris uses Google Veo 3.1 to create product-overview, feature, unboxing, how-to, setup, troubleshooting, and brand-story shots from the listing's existing product references. It supports landscape and portrait output and returns each collected result through a signed, range-capable video URL.

Does Iris create a complete Amazon listing video?

Iris can generate a set of short shots or extend a Veo-generated sequence for a longer continuous result. It supplies the clips, shot order, and finishing notes. Multi-shot editing, required metadata work, and the final Seller Central video upload remain outside Iris.

Can Iris use existing product photos as video references?

Yes. A video request can use up to three product references. Iris treats shape, proportions, colors, materials, labels, controls, and included parts as fidelity checks, and every generated shot still needs review before it becomes part of a listing video.

Can Iris create images for A+ Content?

Yes. Iris can generate and audit the image assets used in A+ Content. The Selling Partner MCP handles the A+ document and Amazon submission workflow, so image generation stays listing-aware without making Iris responsible for the entire content document.

Can Iris publish images directly to Seller Central?

Yes, after you approve them. The Selling Partner MCP submits an approved image to the live listing and verifies that Amazon ingested it. Video follows a different handoff: Iris returns the generated shots and finishing plan, while final assembly and Seller Central upload remain external.

Will this guarantee my image gets approved?

No. Amazon makes the final acceptance decision. Iris applies the relevant rules during generation and audits the image before submission, which reduces avoidable rejections but does not replace Amazon's review.

Does it preserve my logo and printed text when editing?

For image edits, exact logo, label, and typography fidelity is a first-class rule. Video uses the seller's real product images as references and applies a frame-by-frame fidelity review. A changed label, color, control, included part, or proportion is treated as a failure rather than something that ships.

Which models create the images and video?

Images can run on Google Gemini or OpenAI image models. Video runs on Google Veo 3.1, including Fast for reference-driven product shots and Standard when a shot needs its additional prompt controls. The model can change; the listing and fidelity checks do not.

Does it handle apparel and footwear model rules?

Yes — on-model vs flat by audience, kids and multipacks flat, footwear single shoe facing left at 45°, and the other category-specific rules from the skill.

What about multipacks, variants, and used-item offer photos?

Iris checks pack count, variant consistency, and offer-image requirements against the live listing. It applies the relevant special-case rules and names the exact fix when an asset conflicts with the listing.

Do you charge per image or video?

Kuudo does not sell creative credits or add a generation markup. Bring a Google or OpenAI key for images and a Google key for Veo video, then pay the provider directly. Kuudo pricing remains based on the platform and Amazon API activity.

How do images and videos get in and out securely?

MCP-native upload plus signed download URLs keep asset transfer separate from shared model keys. Collected video URLs support range requests for reliable playback, and retention can be configured around the workflow.

Where does it run?

In your own infrastructure — customer-hosted is the standard model. Docker-ready, works with any MCP client (Claude, ChatGPT, Cursor, IDEs, automation), and drops into the tools you already operate.

Private beta

Create Amazon listing images and product video from the assistant you already use.

Explore the private beta Audit a listing image

Guided onboarding · works in any MCP client · runs in your own infrastructure