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by ofershap • Uncategorized
Control and monitor Docker containers, images, and services via an MCP server.
List and manage running Docker containers and images.
Retrieve logs and execute commands inside Docker containers.
Monitor live CPU, memory, and network usage of containers.
This MCP server allows AI coding assistants to manage Docker environments by listing, starting, stopping containers, reading logs, executing commands inside containers, and monitoring resource usage. It connects directly to the local Docker socket without requiring any API keys or configuration, streamlining Docker workflows. Compatible with multiple MCP clients like Claude Desktop, Cursor, and VS Code Copilot, it helps developers stay focused on coding by automating routine Docker tasks.