Enables AI tools to manage containerized applications through Podman, supporting container lifecycle operations, command execution, log viewing, image management, and resource monitoring. Features automatic network discovery for seamless integration with MCP Discovery Hub.
Enables management of Podman containers, pods, images, and compose stacks via natural language, with support for container stats, logs, exec, health analysis, and a web dashboard.
MCP server that exposes Podman host management as tools, allowing natural language control of containers, images, volumes, networks, and pods. Includes an administrative console with safety profiles for gated access.
Provides a local API to manage Docker containers and volumes, enabling operations like listing, inspecting, starting, stopping, and removing containers, as well as managing volumes, all through HTTP endpoints without shell commands.
Enables AI assistants to manage Docker containers, execute commands inside them, and inspect container information through a minimalist set of tools supporting both stdio and HTTP transports.
