MCP Explained: The Protocol Connecting AI to Everything

Every AI assistant used to need custom integrations for every tool — a matrix of one-off connectors that broke constantly. The Model Context Protocol (MCP), introduced by Anthropic and adopted across the industry, replaces that mess with one standard: build an MCP server for your tool once, and every MCP-compatible AI client can use it.

An MCP server exposes three things: tools (actions the AI can take), resources (data it can read), and prompts (reusable templates). Your AI client — a desktop assistant, an IDE, an agent framework — connects to any number of servers, discovers their capabilities, and calls them with your permission. Databases, browsers, CRMs, and file systems all speak MCP in 2026.

For developers, the takeaway is simple: wrapping your product's API in an MCP server is now table stakes for being usable by AI agents — roughly a weekend of work with the official SDKs.