MCP Integration

What is Model Context Protocol?

Model Context Protocol (MCP) is an open standard that allows AI assistants to interact with external services through a unified interface. Instead of copying data between your AI tool and Qamera AI manually, MCP enables your AI assistant to directly access and control Qamera AI features.

Why Connect AI Tools to Qamera AI?

With MCP integration, your AI assistant becomes a creative partner that can:

• Browse your products and assets — Ask your AI to list products, models, and sceneries without leaving your workflow
• Generate content through conversation — Describe what you need and let the AI create packshots, photo shoots, and videos
• Review results visually — AI can see and analyze generated packshots, helping you choose the best ones
• Automate repetitive tasks — Batch-generate content across your product catalog with simple instructions

Use Cases

AI-Assisted Product Photography

Describe the look you want in natural language. Your AI assistant selects the right model, scenery, and settings, then triggers the photo shoot — all through conversation.

Automated Workflows

Build scripts and automations that use MCP tools to generate content at scale. Process entire product catalogs with consistent settings.

Quality Review

Use the packshot preview tool to let your AI analyze generated images. Get feedback on composition, lighting, and product visibility before approving.

Architecture

+------------------+         +------------------+         +------------------+
|                  |         |                  |         |                  |
|   AI Client      |  MCP    |   MCP Server     |  HTTP   |  Qamera AI API   |
|   (Cursor,       | <-----> |   (Proxy)        | <-----> |  (qamera.ai)     |
|    Claude)       |         |                  |         |                  |
|                  |         |                  |         |                  |
+------------------+         +------------------+         +------------------+

The MCP server acts as a bridge between your AI tool and the Qamera AI platform. It translates MCP protocol requests into Qamera AI API calls, handling authentication and data formatting automatically.

Available Tools

The MCP server exposes 17 tools across 6 categories:

• Products — Browse your uploaded product images
• Models & Sceneries — List and generate AI models and backgrounds
• Photo Shoots — Create AI-powered photo sessions
• Packshots — Generate, preview, and manage product packshots
• Videos — Create videos and reels from your images
• Presets — Manage reusable generation settings

See the Tools Reference for complete documentation of each tool.

Getting Started

Ready to connect your AI tools? Head to the Setup Guide for step-by-step configuration instructions.