MCP stands for Model Context Protocol: a shared standard that lets AI tools connect to outside tools and data in a consistent way. Every API has its own logins, action names, and data formats; MCP gives a model one common way to reach them, and it shows up as one kind of connector for Gmail, Drive, or Slack.
A voltage transformer makes this concrete. An American device does nothing in a European outlet until the transformer makes the power usable. MCP does that for AI: it converts what a tool offers into a form the AI can plug into.
How it shows up
An MCP server only exposes the tools it was built to expose. A well-built one matches an API in capability, but many are scoped down, flaky, or load too much context, so serious integration work often prefers direct API access.
Why you care
The client question is how much control the work needs: low-risk tasks may only need MCP; mission-critical work may need a direct API path. Either way, MCP is one of the main ways an AI stops being a chat box and becomes a worker connected to the business’s real tools.