How do I install Amazon Listing Image And Video MCP Server (Amazon Agent Iris)?

Copy the http config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

What transport does Amazon Listing Image And Video MCP Server (Amazon Agent Iris) use?

Amazon Listing Image And Video MCP Server (Amazon Agent Iris) is reached over HTTP.

Amazon Listing Image And Video MCP Server (A MCP server

Q: Does Amazon Listing Image And Video MCP Server (Amazon Agent Iris) need an API key?

No required environment variable is listed on this record.

Q: When was Amazon Listing Image And Video MCP Server (Amazon Agent Iris) last checked?

Last checked 2026-11-09. MCP server that creates Amazon listing images and product video from live catalog data.

Power your agent

Add this server

The publisher's own URL. Not a PlugMCP endpoint.

Add to Cursor Add in Claude Add to VS Code Run on PlugMCP

Host a copy with our keys and logs.

Server URL

https://{AGENT_IRIS_HOST}/mcp

The Claude button above opens Claude with the name and URL filled in. You still confirm it there.

shClaude Code

1claude mcp add --transport http io.github.kuudoai-amazon-agent-iris-mcp https://{AGENT_IRIS_HOST}/mcp

Run in a terminal.

jsonClaude Desktop

1{2  "mcpServers": {3    "io.github.kuudoai-amazon-agent-iris-mcp": {4      "command": "npx",5      "args": [6        "-y",7        "mcp-remote",8        "https://{AGENT_IRIS_HOST}/mcp"9      ]10    }11  }12}

claude_desktop_config.json

Remote · HTTPPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Remote

Transport: http
Version: 1.0.0
Last checked

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

Amazon listing image and video MCP server (Amazon Agent Iris) by Kuudo

Create Amazon listing images and product video from live catalog data, real product references, Amazon rules, and secure, human-approved workflows.

Product page: https://www.kuudo.com/features/amazon-agent-iris/ · Docs: https://www.kuudo.com/docs/amazon-agent-iris/ · Pricing: https://www.kuudo.com/pricing.md

Connect

Kuudo runs in your own cloud. The Community plan deploys one instance of each Amazon MCP server into your account, and your client connects to that deployment:

{
  "mcpServers": {
    "amazon-agent-iris-mcp": {
      "url": "https://<your-host>/mcp",
      "headers": {
        "Authorization": "Bearer <your Kuudo API key>"
      }
    }
  }
}

Replace <your-host> with the hostname of your deployment and the bearer value with your Kuudo API key.

A tool may document a provider credential of its own. That is separate from the bearer above, it belongs to the service the tool calls, and the tool's own entry says so.

What this repository is

This repository holds registry metadata and a catalog-only stub. Live execution runs in your Kuudo deployment. The server source is not published. The stub in src/ answers tools/list with the catalog below, serves the same catalog as one resource (kuudo://catalog/tools.json), offers one prompt (connect) carrying the setup guidance, and returns an error with that guidance on any call, so registries and clients can inspect the surface without any access to Amazon.

Inspect the catalog locally with Docker

The image runs the same catalog-only stub over stdio. It is not the live server.

docker build -t amazon-agent-iris-mcp .
docker run -i --rm amazon-agent-iris-mcp

Point a client at it with a stdio entry:

{
  "mcpServers": {
    "amazon-agent-iris-mcp-catalog": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "amazon-agent-iris-mcp"]
    }
  }
}

Tools

12 tools, read from a running instance of this server. Four of the twelve mirror the MCP resource and prompt methods, and two more are onboarding and server health. The remaining six generate images and video, hand back an upload URL for local source bytes, and track video jobs.

Each tool carries the argument schema the live server publishes, so a client can inspect the full call signature here before it connects to your deployment.

Tool	Access	What it does
`start_here`	read	Call this FIRST to understand how to use this image and video generation server. Returns workflow documentation for: - Available tools - HTTP image uploads - Editing photos - Long-running, resumable video generation - Generating new images - Downloading results
`generate_image`	write	Generate or edit images with Google Gemini (Nano Banana) from natural language instructions. For OpenAI gpt-image-2, use the sibling `generate_openai_image` tool. For Amazon / Seller Central listing images, FIRST read the `skill://amazon-product-image/SKILL.md` resource (via `read_resource`) for the marketplace image-compliance rules, then generate/audit against them. ## CHARACTER CONSISTENCY Use public image handles for character-consistent image generation: `generate_image( input_images=["agent-iris://images/img_12"], mode="generate", prompt="PRESERVE EXACTLY: character's facial features. NEW: Professional headshot...", model="gemini-3-pro-image" )` Explicit generate mode uses the image handle as conditioning rather than an edit source. ## EDITING AN EXISTING IMAGE For local bytes, upload with POST /images first, then pass the returned handle. For a public hosted image, pass the HTTPS URL directly: `generate_image( input_images=["https://example.com/source.jpg"], mode="edit", prompt="Change the background to a beach sunset" )` ## ITERATING ON A RESULT (high-fidelity chained edit) — PREFERRED Every generate/edit response returns an `interaction_id`. Pass it back to refine the SAME image while preserving the rest of the composition — no need to re-send the source. This beats re-editing from bytes for edit fidelity: `generate_image( interaction_id="v1_Chd...", # from the previous response prompt="Recolor the mug to beige. Change nothing else." )` TTL: ~55 days (paid) / 1 day (free). ## COMPOSITING (Person from image A into scene B) Use multiple references with generate mode: `generate_image( input_images=["agent-iris://images/img_12", "gemini://files/beachRef"], mode="generate", prompt="Place character from image 1 into the beach scene from image 2..." )` ## OPERATION PRESETS Use operation="icon", "pattern", "diagram", "storyboard", or "photo_repair" for strict defaults around model, aspect ratio, and prompt framing. ## Mode Auto-Detection: - interaction_id → EDIT mode - operation="photo_repair" → EDIT mode - operation="icon"/"pattern"/"diagram"/"storyboard" → GENERATE mode - operation="general" with one input image → EDIT mode - Multiple input images or pure prompt → GENERATE mode Returns both MCP image content blocks and structured JSON with metadata.

Set up your client

Playbooks

Operator guides grounded in Amazon's own documentation, each with the artifact the agent produces:

How it compares

Kuudo vs Pixii for Amazon sellers

Reads, writes, approvals

Read tools are safe to call freely. Write tools do work inside your deployment and never change anything on Amazon. Each tool's access is recorded beside it in tools.json.

Kuudo

Website: https://www.kuudo.com/
Docs: https://www.kuudo.com/docs/
Guides: https://www.kuudo.com/guides/
Community, bugs, and questions: https://github.com/KuudoAI/community
Roadmap: https://github.com/orgs/KuudoAI/projects
Machine-readable: https://www.kuudo.com/llms.txt · https://www.kuudo.com/pricing.md

Generated from KuudoAI/marketing. Do not edit by hand; changes are overwritten on the next sync.

Add this server

Host a copy with our keys and logs.

Server facts

Tools

Questions

How do I install Amazon Listing Image And Video MCP Server (Amazon Agent Iris)?

Does Amazon Listing Image And Video MCP Server (Amazon Agent Iris) need an API key?

What transport does Amazon Listing Image And Video MCP Server (Amazon Agent Iris) use?

When was Amazon Listing Image And Video MCP Server (Amazon Agent Iris) last checked?

Documentation

Amazon listing image and video MCP server (Amazon Agent Iris) by Kuudo

Connect

What this repository is

Inspect the catalog locally with Docker

Tools

Set up your client

Playbooks

How it compares

Reads, writes, approvals

Kuudo