Server data from the Official MCP Registry
Creator commerce intelligence for TikTok Shop brands — benchmarks, ROC calculator, and brand fit.
Creator commerce intelligence for TikTok Shop brands — benchmarks, ROC calculator, and brand fit.
Remote endpoints: sse: https://roc-mcp-jvutdol4j-ro-ct-eam.vercel.app/mcp
Valid MCP server (1 strong, 1 medium validity signals). 6 known CVEs in dependencies (0 critical, 3 high severity) Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-sugar-co-dev-roc-mcp-server": {
"url": "https://roc-mcp-jvutdol4j-ro-ct-eam.vercel.app/mcp"
}
}
}From the project's GitHub README.
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
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