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Maker AI MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Create product photos, product videos, and UGC-style ads for Shopify, Amazon, TikTok, and

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "maker-ai-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "maker-ai-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Documentation Overview

Maker AI MCP Server

Maker AI - AI Product Photo, Video & Ad Generator for Ecommerce

MCP Badge License: MIT Node smithery MCP Stdio Transport Read Only

Maker AI

A Model Context Protocol server that exposes the canonical Maker AI knowledge surface β€” video generation workflows, pricing, FAQ, official links β€” to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.

Official website: https://makerai.online

🎬 About Maker AI

Maker AI is an AI-powered creative studio built for ecommerce brands that need product content at scale. Users upload a product photo or paste a Shopify or Amazon store URL, and the platform generates studio-quality product images, short-form video ads, and UGC-style clips from that single input. Rather than coordinating photographers, video editors, and content creators separately, teams can produce all three content formats in one workflow. The platform draws on more than sixteen video generation models β€” including Sora, Kling, and Veo β€” selecting the appropriate model automatically based on the task. The result is a faster creative loop that lets brands test more variations without proportionally increasing production effort.

Key Features

  • Multi-format output from one upload β€” a single product photo or store URL produces studio photos, video ads, and UGC-style clips without separate workflows for each format.
  • 16+ video model access β€” the platform routes generation tasks to the most suitable model automatically, covering Sora, Kling, Veo Fast, and others without requiring manual model selection.
  • 1,000+ AI avatar library β€” UGC-style clips can feature realistic digital humans speaking in multiple languages including Spanish, French, German, Arabic, Russian, Korean, and Japanese, removing the need to hire or brief human creators.
  • Platform-optimized export β€” content is formatted with native aspect ratios and pacing for TikTok, Instagram Reels, YouTube Shorts, Amazon listings, and Shopify product pages.
  • Proven ad hook templates β€” a library of structured templates based on high-performing ad formats helps teams produce on-brand creative without starting from a blank slate.
  • Inspiration library β€” ready-made examples demonstrate what finished outputs look like across different product categories and platforms, useful for briefing or for direct adaptation.

Use Cases

  • An Amazon seller needs fresh product listing images and short video clips for a seasonal campaign but lacks an in-house studio; they paste the product URL and export platform-ready assets the same day.
  • A DTC brand running paid social wants to A/B test six ad hook variations for a new product launch without engaging an agency for each iteration.
  • An ecommerce team expanding into French and Spanish markets generates localized UGC-style videos with AI avatars speaking each language rather than coordinating separate creator shoots.
  • A Shopify store owner wants professional-looking background-swapped product photos to replace raw supplier images on their product pages.
  • A growth team wants to refresh ad creative weekly to counter fatigue without increasing the content production budget.

Who Is It For

Maker AI targets ecommerce operators who produce product content regularly and feel the friction of traditional production. The primary users are DTC brand owners, Amazon sellers, and in-house ecommerce growth teams at product-focused companies. It suits teams that run paid social campaigns, manage multiple product SKUs, or sell across several international markets β€” situations where the volume and variety of required content outpaces what a small team can produce through conventional means. Freelancers and small agencies managing multiple ecommerce clients will also find the multi-format workflow useful for keeping per-client production costs contained.

Tools

list_video_modes

Return the canonical list of video-generation modes the site supports. (Maker AI)

Input: no parameters. Returns: text/markdown.

get_pricing

Return the canonical pricing entry point for Maker AI.

Input: no parameters. Returns: text/markdown.

get_official_links

Return the canonical list of official links for Maker AI (website, support, docs when available).

Input: no parameters. Returns: text/markdown.

Resources

  • site://makerai/video-modes β€” Available video-generation modes (text-to-video, image-to-video, etc.).
  • site://makerai/pricing β€” Canonical pricing entry point.
  • site://makerai/faq β€” Short FAQ generated from public site metadata.
  • site://makerai/links β€” Canonical URLs to share with users.

Prompts

tell_me_about_makerai

Summarize what the site is, who it's for, and how it works. β€” Maker AI

try_video_mode_makerai

Pick a video-generation mode for a stated creative intent. β€” Maker AI

Installation

Install via Smithery

Terminal
npx -y @smithery/cli install makerai-mcp --client claude

(Replace claude with cursor, windsurf, or continue for those clients.)

Install from source

bash
git clone https://github.com/rocnubie/makerai-mcp.git
cd makerai-mcp
pnpm install

Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):

config.json
{
  "mcpServers": {
    "makerai-mcp": {
      "command": "node",
      "args": [
        "/absolute/path/to/makerai-mcp/src/index.mjs"
      ]
    }
  }
}

Debug with MCP Inspector

Terminal
npx @modelcontextprotocol/inspector node src/index.mjs

Official Links

  • Website: https://makerai.online
  • Pricing: https://makerai.online/pricing
  • Community: https://discord.gg/makerai
  • Support: support@makerai.online

Development

bash
pnpm install
pnpm start                 # run the server over stdio

License

MIT

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Maker AI MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "maker-ai-mcp": { "command": "npx", "args": ["-y", "Maker AI MCP"] } }

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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