MCP — Model Context Protocol
Definition: An open standard that lets AI models connect to tools and data sources through a common interface. MCP is to AI integrations what USB was to peripherals — one plug, many tools.
Example
Wrapping our internal APIs in MCP servers cut the time to ship a new agent capability from a sprint to an afternoon.
When you'll hear it
MCP shows up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. When someone uses it, they're usually referring to model context protocol — and they expect the room to already know what that means.
FAQs
What does MCP stand for?
MCP stands for Model Context Protocol.
What does MCP mean in AI and machine-learning?
An open standard that lets AI models connect to tools and data sources through a common interface. MCP is to AI integrations what USB was to peripherals — one plug, many tools.
Where will I hear MCP used at work?
MCP comes up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. It's used as shorthand for model context protocol, so people assume you already know the term.
Related terms
Curious what closing a gap like this is actually worth?
Run the numbers on your own first $10K as a consultant — see exactly how many clients and conversations it takes.
Run your First $10K number →Get the Launchpad — $97
The Scale Ranger Launchpad gives you the outreach scripts, templates, and step-by-step playbooks — everything in one bundle.
Get the Launchpad — $97 ↗