Wraps the Docker Engine API as MCP tools for container and image management. Reduces token consumption by providing typed tools with default summaries and field selection.
A Model Context Protocol server that provides tools for interacting with Docker images, containers, and registries, enabling AI assistants to search, analyze, and manage Docker resources through a standardized interface.
Provides Docker container creation and image pulling via the Docker Engine API, with safety guardrails against privileged operations and network exposure.
Enables AI agents to manage Docker containers through a secure MCP interface, supporting container lifecycle operations, log inspection, resource monitoring, and system diagnostics with role-based access control.
A tool that helps AI agents interact with Docker containers on local or remote machines, allowing users to manage and troubleshoot containers without Docker knowledge.
A read-only MCP server that exposes your Docker daemon, allowing AI assistants to list containers, inspect their details, and fetch logs without write access.
Enables Docker container management directly through Claude using the Model Context Protocol. Provides 14 tools for managing containers, images, volumes, and Docker Compose deployments through natural language commands.
More than just an MCP server that covers the entire range of Docker management tasks, it helps you create workflows to easily manage your Docker environments at scale.
It allows you manage multiple local or remote (TCP, TLS, SSH) docker instances and exposes things like logs and stats as resources so that you can monitor and triage all of them.
Universal Docker MCP server for AI assistants (Cursor, Claude Desktop). Manage Docker containers, execute commands, query databases, and handle environment configurations — all through natural language.