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Manage multiple OpenShift clusters through AI-assisted operations and administration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ocp-mcp" yet — see the docs or source repo.
Connect to all configured OpenShift clusters and summarize node status, abnormal pods in critical namespaces, and resource usage for each cluster, then rank them by risk level.
A cluster-by-cluster health report with anomalies, risk ranking, and brief remediation suggestions.
Inspect all OpenShift clusters for applications with failed deployments in the last 24 hours, list the failed Deployments or Pods, include relevant event logs, and summarize the most likely causes.
A cross-cluster incident list with log summaries, root-cause analysis, and recommended fixes.
Across the three specified OpenShift clusters, scale the target application in the production namespace to 6 replicas, and return the current state before execution and the change results afterward.
An execution report showing whether scaling succeeded on each cluster and the before-and-after states.
Connect to Kubernetes and OpenShift clusters for management and automation tasks.
Manage OpenShift lab clusters and state changes through natural language commands.
Let AI manage Kubernetes clusters and Helm for deployment and troubleshooting.
Manage Kubernetes clusters, resources, backups, and diagnostics using natural language.
Use one MCP server for filesystem, database, web, and system operations.
Build, debug, and manage software tasks with natural language across LLMs.