# io.github.sugar-co-dev/roc-mcp-server

> Use this tool when you need to analyze and optimize your TikTok Shop brand's performance, as it provides creator commerce intelligence through benchmarks, a return on ad spend (ROC) calculator, and brand fit assessments, accepting brand data as input and outputting actionable insights to inform business decisions. It solves problems related to measuring campaign effectiveness and identifying opportunities for growth. Ideal for use in e-commerce and social media marketing contexts.

Canonical page: https://skillsregistry.net/skills/io-github-sugar-co-dev-roc-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-sugar-co-dev-roc-mcp-server

## Description

Creator commerce intelligence for TikTok Shop brands — benchmarks, ROC calculator, and brand fit.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.sugar-co-dev%2Froc-mcp-server)
- **Repository:** <https://github.com/sugar-co-dev/roc-mcp-server>

## Use it

MCP endpoint published by the skill: `https://roc-mcp-jvutdol4j-ro-ct-eam.vercel.app/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": "io-github-sugar-co-dev-roc-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-sugar-co-dev-roc-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-sugar-co-dev-roc-mcp-server/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