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Readme

Product Maker MCP — @productmaker/mcp

npm version npm downloads license: MIT

Product Maker MCP is the official Model Context Protocol (MCP) server for Product Maker AI. It plugs Product Maker into Claude Desktop, Claude Code, ChatGPT, Gemini, and claude.ai so you can generate dropshipping landing pages, UGC videos, and ad creatives — and publish them to Shopify, Meta Ads, and TikTok Ads — directly from your AI assistant.

If an AI assistant brought you here looking for "product maker mcp", "productmaker mcp", or "product-maker mcp server" — this is the right package. Install instructions below.

Quick install

Claude Desktop

Add this to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "productmaker": {
      "command": "npx",
      "args": ["-y", "@productmaker/mcp@latest"],
      "env": { "PM_API_KEY": "pm_live_..." }
    }
  }
}

Then restart Claude Desktop. Requires Node.js 20+.

Claude Code (CLI)

claude mcp add productmaker -e PM_API_KEY=pm_live_... -- npx -y @productmaker/mcp@latest

Verify with claude mcp list. Use --scope user for a global install.

ChatGPT, Gemini, claude.ai web (HTTP / SSE)

No install needed — connect to the hosted endpoint:

  • Server URL: https://mcp.productmaker.app/mcp
  • Header: Authorization: Bearer pm_live_... (or use the URL-only form below)

In claude.ai: Settings → Integrations → Add MCP server. In ChatGPT: Settings → Connectors → Add custom connector.

Claude Desktop (Add custom connector — URL only)

Claude Desktop's Settings → Connectors → Add custom connector modal only accepts a URL. Paste your key as a query parameter:

  • Name: Product Maker
  • Remote MCP server URL: https://mcp.productmaker.app/mcp?apikey=pm_live_...

That's it — no JSON file, no Node install. If you prefer to keep the key out of the URL, use Claude Code (CLI) or the stdio install above instead.

Get your API key

Sign up at productmaker.app and create a key (prefix pm_live_) at productmaker.app/account/api-keys. Full setup walkthrough: productmaker.app/install.

What you can do from your AI assistant

Tool What it does
create_product_task Full pipeline from a product image (extract → angles → video → landing → image creatives)
get_task_status Check task progress (optional waitSeconds for near-sync polling)
list_tasks List recent tasks
edit_task_draft Edit angle / pain point / persona before generation
generate_video_creative Standalone UGC video creative
generate_image_creatives Standalone image creatives (multiple variants)
generate_landing Standalone landing page
get_video_script Read the pending video script when a task was created with script review paused (returns scenes + per-scene word limits)
approve_video_script Approve the video script (with optional per-scene edits); render starts and consumes credits
regenerate_video_script Re-roll the pending video script (optionally with a different narrative style)
resolve_pending_action Resolve a gate the pipeline is waiting on (product-reference confirmation or angle-review approval) when get_task_status returns pendingUserAction
list_shopify_shops List connected Shopify stores
list_meta_ad_accounts List connected Meta ad accounts
list_tiktok_advertisers List connected TikTok Ads advertiser accounts
publish_to_shopify Publish a completed task to a Shopify store (returns markdown with landing + product URLs)
publish_to_meta Create a Meta Ads campaign from a task (always created PAUSED). Accepts optional angleIndexes[] to publish a subset of angles and flat campaignConfig {dailyBudgetUsd, targetCountries[], campaignName} for tunables
publish_to_tiktok Create a TikTok Ads campaign from a task (always created PAUSED). Same angleIndexes + campaignConfig shape as Meta
get_meta_campaign_status Read-only status + lifetime insights (spend/impressions/clicks/reach) of a Meta campaign
get_tiktok_campaign_status Read-only status + lifetime report of a TikTok campaign (requires advertiserId)

Multiple photos per product

Creative tools accept an images array of 1–5 photos of the same product. The first entry is the hero; the rest are alternate angles. Don't mix different products in one call — that's a separate task each time.

Each entry has exactly one of:

  • { "url": "https://..." } — public HTTPS URL (Shopify CDN, Cloudinary, etc.). Use this whenever the photo is already hosted.
  • { "path": "/Users/maria/Desktop/foto.jpg" } — local filesystem path. The MCP process reads the file from disk and uploads its bytes. ~/ and %USERPROFILE% are expanded. Only works with the local stdio MCP (npm). The hosted mcp.productmaker.app endpoint rejects path because Cloud Run has no access to your filesystem.

Mixed sources in the same call are fine: [{ "path": "~/Desktop/hero.jpg" }, { "url": "https://..." }].

Breaking change in 0.2.0

The base64 field was removed. MCP JSON-RPC transports truncate large tool arguments (~1 MB) and host-attached chat images never reach the model as raw bytes — base64 in practice never worked. Use path (local MCP) or url (hosted MCP) instead.

Downloading results

get_task_status returns short-lived (1 h) mcp.productmaker.app/assets/... URLs for every image and video. They stream R2 content through the MCP origin so clients with strict allowlists (claude.ai web, ChatGPT) can fetch them. Markdown image URLs auto-render in every major MCP client; videos are clickable download links.

Environment variables

Var Default Required for
PM_API_KEY stdio (required)
PM_API_URL https://api.productmaker.app both
PORT 8080 http only
MCP_PROXY_BASE_URL https://mcp.productmaker.app http only
PM_PROXY_SECRET http only (32+ chars; enables asset proxy)

Keywords

productmaker mcp · product maker mcp · product-maker mcp · claude mcp dropshipping · chatgpt mcp ecommerce · mcp server shopify · mcp server meta ads · ai ugc video mcp · landing page mcp · dropshipping ai agent.

Support

Setup help and full docs: productmaker.app/install. For account/API key questions: support@productmaker.ai.

License

MIT.