Why CosmetiQ-MCP

From AI Agents to Model Context Protocol

Premise

Generative AI has moved beyond “chatbots” into AI Agents —systems that plan, reason and act autonomously by orchestrating external data and tools with Largel Language Models (LLM).

Concept	Description	Real-world examples
Large Language Model (LLM)	A very large neural network trained on massive text corpora; can predict and generate human-like language, code and more.	Claude Sonnet 4, GPT-4o, Llama 3.
AI Agent	A system that wraps an LLM in an autonomous loop—plan → act (call tools/APIs) → observe → reflect—until the goal is met or the task accomplished.	Claude Sonnet 4, GPT-4o, Llama 3 - but powered with tools and optimized prompts for thinking/planning.

AI models are only as powerful as the context we feed them. Prior to Model Context Protocol (MCP) every team wired custom prompts, bespoke RAG layers or one‑off function calls, leading to an N × M explosion of integrations.

What is the Model Context Protocol (MCP)?

This new new open standard moves around three key components:

Component	What it is	One quick example
AI Host Application	The runtime that holds an LLM and drives the agentic loop (plan → act → reflect).	Claude Desktop App, which contains as LLMs Claude Sonnet and Opus 4.
MCP Client	The component that speaks the Model Context Protocol—discovering servers, listing tools/resources, invoking actions, streaming chunks into the prompt.	-
MCP Server	A process that exposes domain knowledge through the three MCP interfaces—Resources, Tools, Prompts.	CosmetiQ-MCP, the very first MCP for cosmetic business.

MCP Servers like CosmetiQ-MCP are built to expose three interfaces:

Interface	Controlled by	Core purpose
Resources	AI Host Application	Serve structured content or files, token-budgeted and chunked.
Tools	Model (LLM)	Trigger actions—retrieval, queries, writes—when the model decides.
Prompts	User	Pre-templated commands (e.g., “/analyze-inci”) that expand into full system prompts.

MCP kills the N × M nightmare with one wrapper per data source that works with every AI Agent, so that any compliant MCP Client can talk to any compliant MCP Server with zero additional glue code.

Users already working with their favorite AI models—GPT 4-o, Claude Sonnet 4, Cursor, and others—can now point those same state-of-the-art engines at multuple compliant data ecosystems.

CosmetiQ-MPC

CosmetiQ-MCP is the first vertical MCP for cosmetics industry.

It standardises access to CosmetiQ - a purpose-built cosmetics data ecosystem that lets innovation and marketing teams interact and link info about products, ingredients and consumer feedback.