MCP CLI is a command-line tool that streamlines interactions with Model Context Protocol (MCP) servers by enabling dynamic context discovery. This reduces token usage significantly, allowing AI agents to access only the necessary tool information as needed, rather than loading everything upfront. It's designed for developers building AI coding agents and integrates easily with existing workflows.

This article critiques the ongoing debate between using MCP and CLI for context management with LLMs. It argues that MCP's strength lies in its ability to steer agents effectively, while CLIs lack this inherent guidance. The author emphasizes the importance of understanding context to make informed tool choices.