This article explains how to use Model Context Protocol (MCP) servers to connect tools and services with language models through Docker. It outlines three integration approaches, highlighting the benefits and challenges of each, from simple setups to complex custom applications.

Docker is introducing a new way to run coding agents in isolated environments using container-based sandboxes. This approach allows agents to access necessary resources without compromising the local system's safety, addressing security concerns as agents become more autonomous. The current experimental version supports Claude Code and Gemini CLI, with plans for broader agent compatibility.