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SuperCMO

Creates AI-generated marketing videos, images, voiceovers, and finished campaign assets from a brief and product photo.

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Install SuperCMO

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "supercmo": {
      "command": "npx",
      "args": [
        "--yes",
        "@supercmo/skills@0.1.27"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

We couldn’t confirm it starts correctly

We ran the install command but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.

npx --yes @supercmo/skills@0.1.27

Process exited before answering initialize.

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 5d ago.

Overview

SuperCMO MCP server gives AI agents a structured workflow for producing marketing videos and images from a product photo and creative brief. It analyzes the product, plans the campaign, selects suitable media models, creates actors and reference images, generates clips, adds voiceover, and stitches the result together. The skills run in agents such as Claude Code, Cursor, and Codex, with either your own model keys or SuperCMO's hosted payment option. Reach for it when you want an agent to coordinate a complete UGC, product-ad, or product-photography workflow rather than handling each media step separately.

Use cases

  • Create a UGC ad from a product photo and short brief
  • Generate a multi-shot product video with a consistent actor
  • Produce a voiceover-led campaign video at a requested length
  • Turn a product concept into storyboards, clips, and a finished asset
  • Preview generation requests before spending on API calls

Key features

  • Product analysis from photos or URLs
  • AI image, video, actor, and voice generation workflows
  • Storyboard-based product and actor consistency
  • Approval checkpoints and dry-run previews
  • Automatic clip editing and stitching
  • BYO model keys or pay-per-use hosted access

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

Recent health check succeeded.

11/11 checks healthy over the last 47d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 6d ago via OSV.dev · @supercmo/skills@0.1.27 (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars246Stargazers on the source repository.
npm downloads265Package downloads in the last 30 days.
Last commit8d agoMost recent push to the default branch.
Install checkInconclusiveDidn't respond in our test window — often a slow first install.

How SuperCMO works

What SuperCMO does

SuperCMO coordinates an end-to-end marketing production workflow for AI agents. A product photo and a short or detailed brief can be turned into UGC videos, product advertisements, cartoon-style ads, product photography, voiceovers, and assembled campaign assets.

The agent remains involved as creative director. It can analyze the product, choose a format, cast an AI creator, write a script, propose a concept, and wait for approval before rendering. Changes can be made during the workflow instead of accepting a complete result without review.

Continuity is handled through storyboards and reference images. The workflow is designed to keep the same product and actor consistent across multiple shots, including videos built from several clips.

How it works

The skills chain together several production stages:

  1. Analyze a product photo or URL and gather product details and images.
  2. Plan the campaign, script, shot list, and requested duration.
  3. Generate reference images for the product and production.
  4. Create video clips using the selected image and video models.
  5. Add voiceover when requested and fit the script to the video length.
  6. Trim, split, and stitch the output into a finished video file.

A single product image can be used to start an unboxing, review, try-on, demonstration, or other UGC concept. Longer videos are broken into shorter shots before the clips are rendered and combined. Each generation supports dry_run, which shows the request without making an API call.

Setup and configuration

Install the skills with Node's package runner:

Terminal
npx --yes @supercmo/skills@0.1.27 --all

The installer can target detected hosts. For Cursor projects, use --cursor --project-dir . so the skills are installed in the project directory. The environment requires uv for the documented installation flow.

After installation, run the supercmo-setup skill or ask the agent to set up SuperCMO. Configuration supports two payment paths: provide your own model-provider keys, or sign in and pay per use through SuperCMO. The hosted SuperCMO option runs in a browser and removes local installation and key management.

Tools and capabilities

  • Product analysis from an image or URL
  • Campaign planning, scripting, and shot-list creation
  • AI actor casting and reference-image generation
  • UGC, product-ad, cartoon-ad, and product-photography workflows
  • AI video clip generation with product and actor references
  • Voiceover generation and duration-aware script budgeting
  • Video trimming, splitting, and stitching
  • Approval checkpoints before paid rendering
  • Dry-run request previews
  • Publishing workflows in the hosted product for Instagram Business, Facebook Pages, LinkedIn profiles, YouTube, and Reddit

The hosted product also provides brand workspaces and a calendar for scheduled or recurring posts.

Read the full README View source on GitHub

Reviews

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Frequently Asked Questions about SuperCMO

SuperCMO is an MCP server that connects AI agents to marketing-media workflows for generating images, videos, AI actors, voiceovers, and edited campaign assets. Its main tools coordinate product analysis, campaign planning, storyboards, model selection, clip generation, and video stitching from a product photo and creative brief.

Install it with `npx --yes @supercmo/skills@0.1.27 --all`, then run the `supercmo-setup` skill. The documented setup requires `uv`; Cursor users can add `--cursor --project-dir .` to place the skills in a project.

Yes, SuperCMO works with Cursor. Install it with the Cursor project-directory options, then run the setup skill from the agent.

No, you can use SuperCMO's hosted, pay-per-use keys instead. The local skills also support bringing your own model-provider keys, configured during the setup flow.

Yes, every generation supports `dry_run`. It displays the exact request without making the API call, allowing you to review it before spending.

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