What is MCP (Model Context Protocol)?
MCP (Model Context Protocol) is an open protocol that standardizes how AI models connect to tools, data sources and external systems. Before MCP, every integration was a custom adapter. With MCP, any tool exposing an MCP server can be used by any compatible client — and that transforms what AI assistants can do in day-to-day work.
In practice
With MCP, you can give an assistant like Claude direct access to Slack, GitHub, the product database, a CRM, Gmail, Google Docs or internal documents — in a controlled, auditable way. That changes the type of work the AI can execute: instead of copy-pasting context for every question, the assistant fetches the information where it lives. K21's Product AI courses include how to configure and use MCP to dramatically expand what AI assistants do inside your real workflow.
What happens when it is missing
Without MCP (or an equivalent standard), every new integration between AI and a company system is an engineering project. The cost of connecting data to the assistant gets high and nobody does it. The result: the AI stays a generic chat with no context of real operations, and automatable decisions keep being made manually because the AI "has no way of knowing".
Related terms
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