Roc MCP Server

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "roc-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "roc-mcp-server"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

RoC MCP Server

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.

Tools

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

Categories Supported

beauty · cpg · fashion · wellness · home · supplements

Running the Server

HTTP (default)

Terminal

npm install
npm start
# Server runs at http://localhost:3000/mcp

stdio

bash

TRANSPORT=stdio npm start

Custom port

bash

PORT=8080 npm start

Connecting to Claude Desktop

Add to your claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "roc": {
      "command": "node",
      "args": ["/absolute/path/to/roc-mcp-server/src/index.js"],
      "env": { "TRANSPORT": "stdio" }
    }
  }
}

Connecting via HTTP

Use any MCP client that supports Streamable HTTP transport:

Code

http://localhost:3000/mcp

Response Envelope

Every tool response includes:

config.json

{
  "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."
}

Data Sources

Benchmarks sourced from:

RoC platform data (100+ brands, $20M+ GMV)
syncly.app TikTok Affiliate Playbook 2026
360om.agency commission benchmark analysis
accio.com TikTok Shop US Top Categories 2025
redstagfulfillment.com AOV data 2025
marketingltb.com TikTok Shop Stats 2025

Data as of: 2026-Q1

License

MIT

mcp-name: io.github.sugar-co-dev/roc-mcp-server

Read the full README →View source on GitHub →

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Frequently Asked Questions about Roc MCP Server

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "roc-mcp-server": { "command": "npx", "args": ["-y", "roc-mcp-server"] } }

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Technical Specs & Signals

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Documentation Overview

RoC MCP Server

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.

Tools

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

Categories Supported

beauty · cpg · fashion · wellness · home · supplements

Running the Server

HTTP (default)

Terminal

npm install
npm start
# Server runs at http://localhost:3000/mcp

stdio

bash

TRANSPORT=stdio npm start

Custom port

bash

PORT=8080 npm start

Connecting to Claude Desktop

Add to your claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "roc": {
      "command": "node",
      "args": ["/absolute/path/to/roc-mcp-server/src/index.js"],
      "env": { "TRANSPORT": "stdio" }
    }
  }
}

Connecting via HTTP

Use any MCP client that supports Streamable HTTP transport:

Code

http://localhost:3000/mcp

Response Envelope

Every tool response includes:

config.json

{
  "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."
}

Data Sources

Benchmarks sourced from:

RoC platform data (100+ brands, $20M+ GMV)
syncly.app TikTok Affiliate Playbook 2026
360om.agency commission benchmark analysis
accio.com TikTok Shop US Top Categories 2025
redstagfulfillment.com AOV data 2025
marketingltb.com TikTok Shop Stats 2025

Data as of: 2026-Q1

License

MIT

mcp-name: io.github.sugar-co-dev/roc-mcp-server