Model Context Protocol (MCP)

Simple Definition

Model Context Protocol (MCP) is an open standard created by Anthropic that gives AI models a consistent way to connect to external tools and data sources. Instead of every AI product building custom connections for every tool, MCP creates a universal “plug” that works across different AI systems.

Think of it as a USB standard for AI, one common connector that works with any compatible device.

The Problem MCP Solves

Before MCP, if you wanted an AI assistant to access your Google Drive, your database, and your calendar, a developer would have to build three separate, custom integrations. Each one would be different, require separate maintenance, and break when those services changed.

MCP creates a shared protocol so that any MCP-compatible tool can connect to any MCP-compatible AI, once, cleanly, and consistently.

How MCP Works

MCP works through “servers”, small programs that expose a tool or data source:

An MCP server is created for a tool (e.g., your file system, Slack, a database)
An AI client (like Claude Desktop) connects to that server
The AI can now read from and act on that tool as part of a conversation

You don’t need to build these yourself, many MCP servers are already available and installable in a few steps.

What You Can Connect With MCP

Local files and folders
Web browsers (reading pages, filling forms)
Databases and spreadsheets
GitHub, Jira, Notion, Slack
Email and calendar apps
Custom business tools

Why MCP Matters

MCP is becoming the standard way that AI agents interact with the world. As more tools release MCP servers, AI assistants will be able to do more, not because the AI got smarter, but because it can now reach more of your data and apps in a reliable way.

If you use Claude Desktop or similar AI clients, you can already install MCP servers to extend what your AI can access.