AI web development · Glossary
Model Context Protocol (MCP)
Last updated June 29, 2026 · by Tal Gerafi
The Model Context Protocol (MCP) is an open standard that lets AI agents connect to external tools and data sources — like analytics, a database, or a browser — through a consistent interface, so the model reasons over real data instead of guesses.
Before MCP, every tool an AI agent wanted to use needed its own custom integration. The Model Context Protocol standardizes that connection: tools and data sources expose themselves through one consistent interface, and any MCP-aware agent can use them.
How it works
An MCP "server" wraps a capability — a database, an analytics platform, a browser, a file system — and describes what it can do. An agent connects as a "client" and can then call those tools as needed. The practical effect is that the model stops guessing and starts reasoning over real, live data it can fetch on demand.
Why it matters for B2B sites
For website work, MCP is what lets an AI agent read your actual Search Console performance, query analytics, or drive a real browser to check a page — instead of working from stale assumptions. That grounding is the difference between advice and evidence. Greeto connects its build agents to live data through MCP so decisions reflect what's actually happening on a site; the workflow is in Building websites with Claude Code.