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Automate Kubernetes app deployment, validation, planning, and endpoint discovery.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-k8s-deployer" yet — see the docs or source repo.
Create a Kubernetes deployment plan for a Node.js web service: image myapp:v1, 3 replicas, expose port 8080, include Deployment, Service, and basic resource settings, and validate the configuration first.
Validated Kubernetes manifests or a deployment plan, including detected config issues and usable resource definitions.
Run a Kubernetes dry-run plan for upgrading this app from myapp:v1 to myapp:v2, keep the existing Service, and analyze changed resources and potential risks.
A pre-deployment dry-run report showing resources to add, modify, or replace, plus upgrade risk notes.
After deployment, extract the service access endpoint details from the Kubernetes cluster, including Service type, ClusterIP, ports, and any externally reachable address if available.
A summary of service access methods so developers or testers can quickly connect to the deployed app.
Manage Kubernetes resources with natural language for deployment and troubleshooting.
Generate Kubernetes manifests and run common cluster operations from one tool.
Safely manage and visualize Kubernetes clusters with high-level operational tools.
Query multiple Kubernetes clusters at once using natural language.
Expose Kubernetes microservice APIs as MCP services for easier integration and operations.
Run Kubernetes CLI tools securely for cluster management, deployment, and troubleshooting.