Run Claude Code with Docker Model Runner, connect tools via MCP servers, and use secure sandboxes so agents can act with control.

Docker offers insights into container technology, microservices architecture, and application deployment, providing documentation and best practices for building, deploying, and managing containerized applications. By exploring Docker's curated content, developers can learn about container orchestration, Docker Swarm, and Docker Compose for managing complex containerized environments. Whether you're deploying microservices, building CI/CD pipelines, or optimizing your development workflow, Docker offers resources to streamline your containerization journey and unlock the benefits of container-based deployment.

Docker

A guide to integrating Claude Code with Docker infrastructure across three areas: running local models via Docker Model Runner using an Anthropic-compatible API endpoint, connecting Claude Code to real-world tools (Jira, GitHub, filesystems) through Docker MCP Toolkit's 300+ containerized MCP servers, and safely running autonomous agents inside Docker Sandboxes to prevent host machine interference. Together these components create a private, cost-controlled, and secure AI coding workflow.

Claude Code with Docker: Local Models, MCP, Sandboxes

Run Claude Code Locally with Docker Model Runner

How to Add MCP Servers to Claude Code with Docker MCP Toolkit

Docker Sandboxes: Run Claude Code and Other Coding Agents Unsupervised (but Safely)