Examples

These examples show how conversations with your AI assistant look when using Qamera AI MCP tools. Each example demonstrates a complete workflow from start to finish.

Example 1: Generate a Packshot

Create a professional product packshot through conversation.

You: "I need a clean packshot for my latest product. Can you show me what products I have?"

AI: Calls get_products — "You have 12 products. Here are the most recent ones: Summer Dress (ID: prod_123), Leather Bag (ID: prod_456), Running Shoes (ID: prod_789)."

You: "Generate 3 packshot variants for the Leather Bag."

AI: Calls register_packshots with product_id: "prod_456", count: 3 — "Done! I've started generating 3 packshots for the Leather Bag. This usually takes a minute or two."

You: "Are they ready? Show me the results."

AI: Calls get_packshots — "Yes, all 3 packshots are ready. Let me preview them for you." Calls get_packshot_preview for each — "Here are your 3 packshots:

1. Clean white background, front angle — sharp product detail
2. White background, slight angle — shows texture nicely
3. White background, top-down — good for catalog layouts

I'd recommend #2 for your product page — the angle highlights the leather texture well."

You: "Approve #2 and reject the others."

AI: Calls update_packshot three times — "Done! Packshot #2 is approved. The other two have been rejected."

Example 2: Review Packshots with AI Feedback

Use the visual preview capability to get AI-assisted quality feedback.

You: "Review my recent packshots and tell me which ones are ready for the website."

AI: Calls get_packshots — "You have 8 pending packshots. Let me review each one." Calls get_packshot_preview for each packshot

"Here's my analysis:

Ready for use:

• Packshot #1 (Summer Dress) — Clean background, product centered, good lighting
• Packshot #4 (Sneakers) — Sharp detail, consistent style with your catalog
• Packshot #7 (Watch) — Excellent reflection handling, premium feel

Needs attention:

• Packshot #2 (T-Shirt) — Slight color cast, may not match the actual product
• Packshot #5 (Sunglasses) — Background not fully clean near the temples

Recommend regenerating:

• Packshots #3, #6, #8 — Composition could be improved

Want me to approve the good ones and reject the rest?"

You: "Yes, approve the ready ones and reject the others."

AI: Calls update_packshot for each — "Done! 3 packshots approved, 5 rejected. You can regenerate the rejected ones with different settings if needed."

Example 3: Create a Video Reel

Build a social media reel from your product images.

You: "I want to create a short video reel for Instagram using my best product images."

AI: Calls get_images — "You have 24 images from recent photo shoots. Here are some highlights that would work well together for a reel:

• Image #1: Lifestyle shot with model wearing the summer dress
• Image #5: Close-up detail of the leather bag
• Image #8: Running shoes in motion scenery
• Image #12: Watch lifestyle shot"

You: "Use images 1, 5, 8, and 12 for the reel."

AI: Calls register_reel with image_ids: ["img_1", "img_5", "img_8", "img_12"] — "Reel creation started! I'm combining 4 images into a video reel. This typically takes a few minutes."

You: "Check if it's done."

AI: Calls get_videos — "Your reel is ready! It's a 15-second video combining all 4 product shots with smooth transitions. You can download it from your Qamera AI dashboard."

Tips for Effective MCP Workflows

• Be specific with requests — "Generate 3 packshots for product X" works better than "make some images"
• Use the preview tool — Let your AI see and evaluate generated content before approving
• Chain tools together — Your AI can combine multiple operations in a single conversation
• Use presets — Create presets for consistent settings across batch operations
• Check credits — Content generation consumes credits; make sure you have enough before large batches