MCP (Model Context Protocol): How AI Tools Connect

MCP is an open standard that lets AI models connect to tools and data in one consistent way.

The problem MCP solves

Before MCP, every AI app had to build its own custom connection for every tool: one for Google Drive, another for GitHub, a third for its own database. That's like building a different cable for every outlet.

What MCP is

MCP (Model Context Protocol) is an open protocol Anthropic introduced in November 2024. It defines a shared standard for how AI applications connect to external tools and data sources — through so-called "MCP servers". An MCP server wraps access to something like a database, a file system, or a calendar, and exposes it in a format any MCP-compatible AI app understands.

The standardized-plug picture

MCP is like a standardized plug: build an MCP server for your tool once, and any MCP-compatible AI app (not just one specific one) can use it — no custom integration code needed per app.

Why it matters to you

If you're building an AI agent, you can reuse existing MCP servers (for filesystems, web search, databases, and more) instead of coding every integration yourself. That saves time and makes agents easier to extend.