What Is Model Context Protocol? MCP Explained Simply

Model Context Protocol, usually called MCP, is a standard way for AI applications to connect with tools, data sources, and services. Instead of every AI app building a custom integration for every tool, MCP gives them a common pattern.

An MCP server exposes capabilities. An MCP client, such as an AI assistant or coding agent, can discover those capabilities and call them when a user asks for work that needs outside context.

Why MCP matters

• It reduces custom integration work.
• It gives tools a standard way to describe what they can do.
• It helps agents access files, databases, APIs, browsers, and docs.
• It can make permissions and tool boundaries easier to reason about.

The practical takeaway

MCP is infrastructure for tool-using AI. If agents are going to do real work, they need safe, predictable access to the systems where work happens. MCP is one of the main standards pushing that forward.