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Productai

@ShapeStudio

Repository

About Productai

Generate AI-powered product images, integrate with your e-commerce platform, and automate your workflow.

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "productai": {
      "command": "node",
      "args": [
        "/FULL/PATH/TO/productai-mcp/dist/index.js"
      ],
      "env": {
        "PRODUCTAI_API_KEY": "your-api-key-here"
      }
    }
  }
}

Tools

4

Generate a product photo from an image URL + prompt

Generate and poll until the result is ready (one-step)

Check generation job status

Poll until a job completes

Overview

What is ProductAI?

ProductAI MCP server integrates with ProductAI to generate AI-powered product photos from image URLs and prompts. It is intended for users who need automated product image generation and can be used with Claude Desktop, Cursor, or Claude Code.

How to use ProductAI?

Install the package with npm install and build with npm run build. Obtain an API key from the ProductAI dashboard, then configure the server in your MCP client (e.g., Claude Desktop, Cursor, or Claude Code) by providing the compiled index.js path and setting the PRODUCTAI_API_KEY environment variable.

Key features of ProductAI

  • Five tools: generate_image, generate_and_wait, get_job, wait_for_job
  • Supports multiple AI models: nanobananapro, gpt-low, gpt-medium, gpt-high, kontext-pro, kontext-max, nanobanana, seedream
  • Multi-image input with seedream and nanobanana models
  • One‑step generation and polling with generate_and_wait
  • Job status checking and waiting for completion

Use cases of ProductAI

  • Generate product photos on a white marble surface from a shoe image URL
  • Add accessories (e.g., sunglasses) to a product image using the kontext-pro model
  • Check the status of a ProductAI generation job by job ID

FAQ from ProductAI

What is ProductAI?

ProductAI is an AI service for generating product photos. The MCP server provides tools to generate images, check job status, and wait for results.

How do I get an API key for ProductAI?

Sign up at ProductAI and obtain your API key from the dashboard.

Which AI models are available?

The available models are nanobananapro (default, best quality), gpt-low, gpt-medium, gpt-high, kontext-pro, kontext-max, nanobanana, and seedream. Multi‑image input is supported with seedream and nanobanana.

How do I configure the server for Claude Desktop?

Add the server configuration to claude_desktop_config.json under mcpServers, specifying the full path to the built index.js and the PRODUCTAI_API_KEY environment variable. Restart Claude Desktop to see the tools.

Can I use ProductAI with Cursor or Claude Code?

Yes. For Cursor, add an MCP server in settings with the same config. For Claude Code CLI, run claude mcp add productai with the path and set the environment variable PRODUCTAI_API_KEY.

Frequently asked questions

What is ProductAI?

ProductAI is an AI service for generating product photos. The MCP server provides tools to generate images, check job status, and wait for results.

How do I get an API key for ProductAI?

Sign up at [ProductAI](https://create.productai.photo) and obtain your API key from the dashboard.

Which AI models are available?

The available models are `nanobananapro` (default, best quality), `gpt-low`, `gpt-medium`, `gpt-high`, `kontext-pro`, `kontext-max`, `nanobanana`, and `seedream`. Multi‑image input is supported with `seedream` and `nanobanana`.

How do I configure the server for Claude Desktop?

Add the server configuration to `claude_desktop_config.json` under `mcpServers`, specifying the full path to the built `index.js` and the `PRODUCTAI_API_KEY` environment variable. Restart Claude Desktop to see the tools.

Can I use ProductAI with Cursor or Claude Code?

Yes. For Cursor, add an MCP server in settings with the same config. For Claude Code CLI, run `claude mcp add productai` with the path and set the environment variable `PRODUCTAI_API_KEY`.

Comments

Basic information

Category

Other

Transports

stdio

Author

ShapeStudio

Submitted by

Marko Balažic

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