Manage Docker-backed lightweight VM lifecycles through natural language commands.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "docker-vm-mcp" yet — see the docs or source repo.
Create a new lightweight VM for testing and tell me how to connect to it over SSH.
Returns the VM creation result and the connection details or next steps for SSH access.
Run a system information check inside the VM named dev-vm and summarize the output for me.
Executes the requested command and returns the output for quick VM inspection.
Show the resource usage of all current lightweight VMs, especially CPU and memory.
Returns resource monitoring details for each VM to help assess workload and performance.
When developers need a temporary test environment, they can create a Docker-backed lightweight VM with natural language and immediately access it or run commands. This reduces the time spent managing containers and access steps manually.
DevOps teams can use one MCP tool to handle VM creation, access, command execution, and resource monitoring. It is useful for routine checks or ad hoc troubleshooting across lightweight instances.
It is an MCP server for full lifecycle management of lightweight VMs backed by Docker containers. Known capabilities include creation, SSH access, command execution, and resource monitoring.
Based on the name and description, it clearly depends on a Docker-related environment. For exact installation steps, runtime requirements, or configuration details, see the source repository.
Its key difference is that it manages lightweight VM lifecycles through natural language, while Docker containers provide the underlying runtime. For implementation details or a deeper comparison with other tools, see the source repository.
Manage VPS servers via SSH with commands, file transfer, Docker, and documentation.
Manage Docker resources, logs, and self-healing workflows through one MCP interface.
Manage and orchestrate Docker environments remotely with natural language commands.
Manage Docker containers, servers, stacks, and deployments through AI via MCP.
Manage Docker resources through the Docker SDK and CLI.
Manage Docker containers, images, Compose, Swarm, and registries from one tool.