# NeuroViz — AI Jewelry Photography

> NeuroViz — AI Jewelry Photography — ai-neuroviz-jewelry-photography. Use this tool when you need to enhance and showcase jewelry products with automated retouching, virtual try-on, and product video generation, solving problems of tedious photo editing and product demonstration. It takes jewelry images as input and outputs retouched photos, virtual try-on simulations, and product videos. Ideal for e-commerce, advertising, and social media applications where high-quality visual product representation is crucial.

Canonical page: https://skillsregistry.net/skills/ai-neuroviz-jewelry-photography  
JSON: https://api.skillsregistry.net/v1/skills/ai-neuroviz-jewelry-photography

## Description

AI jewelry photography: retouching, virtual try-on, and product video generation.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.neuroviz%2Fjewelry-photography)

## Use it

MCP endpoint published by the skill: `https://app.neuroviz.ai/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-neuroviz-jewelry-photography"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-neuroviz-jewelry-photography` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-neuroviz-jewelry-photography/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt