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Manage WSL containers, images, networks, and volumes with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-server-wslc" yet — see the docs or source repo.
List all containers and images in the current WSL environment, grouped by runtime status.
Returns a list of containers and images with their running or available status.
Start the container named web-app; if it is already running, restart it.
Performs the start or restart action and reports the result and current status.
Check available networks and volumes for the container named api-service, and describe its current mounts and connections.
Returns relevant network and volume details plus the container’s current connections and mounts for further changes.
Developers or DevOps engineers can use natural language to inspect, start, stop, or restart containers in WSL, reducing manual wslc command work.
When image management or registry-related tasks are needed, this tool lets an AI agent invoke wslc to perform the corresponding operations.
If container communication or data persistence has issues, it can inspect networks, volumes, and container associations to help identify configuration problems.
It is an MCP tool that lets AI agents manage WSL containers and images through the wslc CLI using natural language. Known supported areas include container lifecycle, network, volume, and registry operations.
Based on the description, it can handle WSL containers, images, and related network, volume, and registry operations. For the detailed command scope and parameters, see the source repository.
It is known to rely on the wslc CLI to execute operations and targets a WSL container environment. For exact installation steps, runtime requirements, and configuration, see the source repository.
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