Glossaire · GEO

MCP (Model Context Protocol)

MCP (Model Context Protocol) is an open protocol, released by Anthropic in late 2024, that standardizes how large language models (LLMs) and AI agents connect to external data sources and tools. Where every integration between an AI and a third-party system previously required a custom connector, MCP enforces a single interface: an MCP server exposes resources, tools, and prompts that a client (ChatGPT, Claude, an autonomous agent) can discover and call uniformly. The protocol is built on JSON-RPC and works locally or over the network. For visibility in generative engines, MCP becomes a strategic channel: running an official MCP server lets a brand feed its structured data, pricing, or catalog directly to AI assistants, without depending solely on web crawling. It is a foundational building block of the agentic web and agentic commerce.

MCP solves a concrete problem: connecting an AI to your data should not require a one-off integration every time. Before the protocol, wiring an assistant into a CRM, a product database, or an internal API meant custom, fragile, non-reusable development. MCP replaces that chaos with a shared grammar.

How it works

The architecture relies on three roles. The client is the AI application (an assistant like Claude, an autonomous agent). The MCP server is a lightweight program that exposes capabilities: resources (files, records, documents), tools (executable functions, such as "create an order"), and prompts (request templates). The client dynamically discovers what the server offers, then calls it through JSON-RPC messages. A single server works with any compatible client — that is the whole point of an open standard.

Why it matters for AI visibility

MCP shifts the stakes. Until now, being cited by an AI mainly went through indexed content and AI citability. Tomorrow, a brand will be able to expose an official MCP server that supplies prices, availability, and product sheets directly to assistants. The AI no longer guesses from an approximate crawl: it queries the authoritative source, in real time.

This is the technical foundation of agentic commerce, where an agent buys or books on the user's behalf. Brands that expose a clean, documented, reliable MCP server will gain an edge over those that remain invisible to agents.

Key takeaway

MCP turns a brand from a mere crawled web page into an actionable data source that AI agents can query directly. It is an emerging visibility channel, not a technical option.

At LUWIZ, we see MCP exposure as the logical extension of a mature GEO strategy: structuring your data for humans, for crawlers, and now for agents.

FAQ

Questions fréquentes

MCP was released by Anthropic in late 2024 as open source. It has since been adopted by many players in the AI ecosystem, including OpenAI and Google, making it a de facto standard for connecting models to external tools.

MCP lets a brand expose its data directly to AI agents through a dedicated server, without relying solely on crawling. It is a new channel for visibility and action within conversational assistants and agentic commerce.

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