Introduction

Learn about CosmetiQ-MCP and how to get started

CosmetiQ-MCP lets you leverage your favourite AI platforms – such as Claude, ChatGPT, and Cursor – to explore a rich cosmetics data ecosystem featuring products, ingredients, and consumer feedback.

Key Features

• MCP-native connectivity – CosmetiQ-MCP leverages Model Context Protocol, so that compliant Large Language Model - LLM (e.g., Claude Sonnet 4) or AI Agent framework can plug straight into vertical cosmetics data without custom wrappers.

• Unified cosmetics knowledge – A clean large dataset that seamlessly tie consumer feedbacks (e.g., about texture and fragrance) to products and ingredients, empowering marketing and R&D teams with actionable insights.

• Effective Tools & Prompts – Pre-built functions and prompt templates let LLMs and AI Agents tap the dataset effortlessly, turning day-to-day cosmetic tasks into single-command workflows.

Getting Started

1. Create an account at www.cosmetiqmcp.simulation.bio

2. Generate a token in your dashboard

3. Replace the token into YOUR_TOKEN_HERE section as shown below:

   {
     "mcpServers": {
       "cosmetiq-mcp": {
         "command": "npx",
         "args": [
           "-y",
           "mcp-remote",
           "--header",
           "Authorization: Bearer YOUR_TOKEN_HERE"
         ]
       }
     }
   }

4. Copy and paste the text with the token into config.json file of your AI Host.

Next Steps

• Follow our Quickstart guide to query CosmetiQ's dataset

• Explore our comprehensive guides on:

  • Guided Examples

  • Data

  • Subscription

Contact Us

Need help or have questions? Reach out to us:

• Email : [email protected]