The Model Context Protocol (MCP) is an open standard that lets AI assistants securely connect to external tools, data and services. An application exposes its capabilities as an MCP server; AI clients like Claude discover those tools and call them during conversations - turning 'chat about it' into 'do it'.
Before MCP, every AI-to-app integration was custom. MCP standardizes discovery (what tools exist), invocation (how to call them) and auth (increasingly OAuth sign-in), so any compliant assistant can use any compliant server - the way USB standardized peripherals.
A practical example: SmartlyQ's MCP server exposes scheduling, content generation, SEO and CRM operations. A user connects it to Claude with an OAuth sign-in, and the assistant can draft, schedule and analyze campaigns on their account - with scopes the user approved.
MCP matters for businesses in both directions: your product becomes usable by AI agents (a new distribution channel), and your team's AI tools can operate your stack instead of just talking about it.
Why it matters
Assistants are becoming the interface to software. Products reachable over MCP are where agents can act; products without it depend on humans clicking. Early MCP adoption is distribution, not plumbing.
SmartlyQ's MCP server