The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Roc MCP Server listing page.
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 |
beauty · cpg · fashion · wellness · home · supplements
Add to your claude_desktop_config.json:
Use any MCP client that supports Streamable HTTP transport:
Every tool response includes:
Benchmarks sourced from:
Data as of: 2026-Q1
MIT
mcp-name: io.github.sugar-co-dev/roc-mcp-server