# Return on Creators

> Use this tool when you need to optimize creator marketing strategies for TikTok Shop brands, solving problems such as finding top creators, analyzing content performance, and determining commission rates. It provides inputs such as brand data and product categories, and outputs benchmark data, creator recommendations, and readiness scores. Ideal for use when launching or scaling a TikTok Shop brand, requiring data-driven intelligence to inform marketing decisions.

Canonical page: https://skillsregistry.net/skills/return-on-creators  
JSON: https://api.skillsregistry.net/v1/skills/return-on-creators

## Description

Provides AI assistants with creator marketing intelligence for TikTok Shop brands from the Return on Creators platform, drawing on data tracking $20M+ in GMV. Offers benchmark data across six product categories, creator profile recommendations, content format analysis, commission guidance, and TikTok Shop readiness scoring through eight specialized tools.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/return-on-creators)
- **Repository:** <https://github.com/sugar-co-dev/roc-mcp-server>

## Use it

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": "return-on-creators"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/return-on-creators` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/return-on-creators/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