What is MCP? The Model Context Protocol explained simply

If you've seen references to 'MCP' appearing in AI news and wondered what it means, here's the short answer: MCP (Model Context Protocol) is an open standard that lets AI assistants like Claude connect to external tools, databases, and services. Think of it as a universal plug socket for AI integrations.

The problem MCP solves

Before MCP, if you wanted Claude or another AI to interact with an external service, a developer had to build a custom integration specifically for that combination. Every AI + every service meant a unique, one-off build. MCP changes that by defining a standard protocol: any AI that supports MCP can talk to any tool that exposes an MCP server — once, not a hundred times.

How MCP works

An MCP server is a small program (or hosted service) that exposes a list of 'tools' — functions the AI can call. When you connect a tool server to Claude, the AI can see those tools and call them when your question requires it. For ReminderIt, those tools are things like 'create a reminder' or 'list upcoming calls'. Claude decides when to call them based on what you're asking.

Stdio vs remote MCP

There are two flavours. Stdio MCP servers run locally on your machine (as a process Claude Desktop spawns) and communicate via standard input/output. Remote MCP servers are hosted endpoints that Claude.ai reaches over HTTPS. Both use the same JSON-RPC protocol; the transport differs. ReminderIt supports both.

Why it matters for productivity

MCP turns your AI assistant from a question-answering box into an agent that can take actions on your behalf — booking, scheduling, writing, sending. For reminders specifically, it means describing what you want in natural language and having an actual phone call placed at the right time, with no extra steps in between.