Definition
The Model Context Protocol is an open standard for connecting AI assistants to external tools and data sources in a consistent way, so an agent can take real actions instead of just talking.
On this page
At a glance
- Categories Technical
- Abbreviation MCP
- Related fields Technical
- Difficulty Advanced
How Model Context Protocol Works
Before MCP, every assistant-to-tool connection was a custom build. MCP defines a shared way for a model to discover and use tools, read data, and act through them. It is part of the plumbing behind agents that can do things, like pull your calendar, query a database, or place an order, rather than only generate text.
Why Model Context Protocol Matters
It is foundational to the agentic web. As agents start completing tasks on people's behalf, the systems they connect to through standards like MCP become the new surface to be present on. For commerce especially, being reachable by agents starts to matter as much as being readable by people.
Frequently Asked Questions
-
What does MCP actually do?
It standardizes how an AI assistant connects to external tools and data, so agents can take actions through a consistent interface.
-
Why does MCP matter for visibility?
As agents act on users' behalf, being accessible to them, not just to human readers, becomes part of being found.