Creator commerce intelligence for TikTok Shop brands — benchmarks, ROC calculator, and brand fit.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-sugar-co-dev-roc-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
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Creator commerce intelligence for TikTok Shop brands — benchmarks, ROC calculator, and brand fit.
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Creator commerce intelligence for TikTok Shop brands — powered by Return on Creators.
Built on the Model Context Protocol, this server gives AI assistants real benchmark data from 100+ TikTok Shop brands and $20M+ GMV processed.
| Tool | Description |
|---|---|
roc_get_category_benchmarks | Median + top-quartile GMV, AOV, creator activation rates, and top content formats by category |
roc_calculate_projected_roc | Calculate projected Return on Creators multiple with vertical-specific coefficients |
roc_get_creator_profile | Ideal creator tier, engagement benchmarks, match scoring rubric, and recruitment targets |
roc_get_content_formats | Highest-converting TikTok content formats ranked by GMV contribution |
roc_get_commission_guidance | Market-rate commission guidance with tiered structure and sample strategy |
roc_analyze_brand_fit | Full brand fit analysis — fit score, blockers, expected GMV range |
roc_get_tiktok_shop_readiness | Readiness score with prioritized action plan for TikTok Shop launch |
roc_get_amplifier_fit | Creator program gap analysis — constraints, projections, weekly priority actions |
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npm install
npm start
# Server runs at http://localhost:3000/mcp
TRANSPORT=stdio npm start
PORT=8080 npm start
Add to your claude_desktop_config.json:
{
"mcpServers": {
"roc": {
"command": "node",
"args": ["/absolute/path/to/roc-mcp-server/src/index.js"],
"env": { "TRANSPORT": "stdio" }
}
}
}
Use any MCP client that supports Streamable HTTP transport:
http://localhost:3000/mcp
Every tool response includes:
{
"result": { ... },
"confidence": "high",
"dataSource": "RoC platform data — 100+ brands, $20M+ GMV processed",
"dataAsOf": "2026-Q1",
"disclaimer": "Estimates based on RoC platform benchmarks. Actual results vary by brand, execution quality, and market conditions."
}
Benchmarks sourced from:
Data as of: 2026-Q1
MIT
mcp-name: io.github.sugar-co-dev/roc-mcp-server