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Manage Docker and Kubernetes resources with natural language for faster operations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Docker & Kubernetes MCP Server" yet — see the docs or source repo.
Please deploy a Kubernetes Deployment named web-api using the nginx:latest image with 3 replicas, expose it with a ClusterIP Service, then check the Pod and Service status and summarize the results.
Creates the Deployment and Service, then returns resource status, runtime health, and any issues found.
Build an image named myapp:dev from the Dockerfile in the current directory, then start a container mapping local port 8080 to container port 80. After that, list the related container status.
Builds the image and starts the container, then reports the container ID, port mapping, and running status.
Please inspect failing Pods in the default namespace, review events and logs, identify the most likely root cause, and provide recommended next steps to fix it.
Returns diagnostics for the failing Pod, including log clues, root-cause assessment, and actionable remediation steps.
Let AI manage Docker containers, images, and Compose services via MCP.
Let LLM clients manage and monitor Docker containers on the host.
Manage Docker resources, logs, and self-healing workflows through one MCP interface.
Manage Docker containers, servers, stacks, and deployments through AI via MCP.
Run Kubernetes CLI tools securely for cluster management, deployment, and troubleshooting.
Let AI manage Kubernetes clusters and Helm for deployment and troubleshooting.