Model Context Protocol · MCP
The Model Context Protocol (MCP) is an open standard for connecting AI applications to external systems: data, tools and workflows. It lets an assistant such as Claude or ChatGPT access information and perform tasks through standardized servers.
Standalone definition · 37 words
How does it work?
The official documentation compares it to a USB-C port for AI: a standard way to connect AI applications to data sources (files, databases), tools (search engines, calculators) and workflows (specialized prompts). It is supported by many clients and servers, including Claude, ChatGPT, Visual Studio Code and Cursor.
How does it relate to GEO?
MCP gives agents a way to act on data and services beyond reading pages. WebMCP, a neighboring proposal for the web, lets a site expose functions to an agent. E-commerce and SaaS sites could expose catalog, availability or booking through it.
What should you do today?
For a site publisher, follow WebMCP and the guides on agent-friendly sites rather than deploying an MCP server with no use case. For an internal SEO tool, an MCP server lets you connect an assistant to Search Console, logs or a tool’s API.
Frequently asked questions
Is MCP a Google standard?
No. The documentation presents it as an open standard supported by several vendors. Google’s generative AI guide cites the Universal Commerce Protocol, not MCP.
Does MCP improve rankings?
No source consulted shows it. It is an integration protocol, not a ranking signal.
Related terms
Further reading
- Google’s GEO checklist: how to optimize your site for AI agents
- Google Search Central Live Paris 2026: Google is betting on agentic commerce
- ← Back to the GEO glossary (114 terms)