Red Hat OpenShift AI

Integrates with Red Hat OpenShift AI clusters through Kubernetes APIs to list pods and workbenches within specified namespaces for DevOps workflows, cluster monitoring, and machine learning workload management.

Provides tools for interacting with Red Hat OpenShift AI (RHOAI) clusters through Kubernetes APIs, developed as part of a bachelor's thesis project. Built in Go using the official MCP SDK and Kubernetes client libraries, it exposes tools for listing pods and workbenches (Kubeflow notebooks) within specified namespaces, requiring users to be authenticated with their OpenShift cluster via standard kubeconfig. Demonstrates integration between AI assistants and container orchestration platforms, making it useful for DevOps workflows, cluster monitoring, and managing machine learning workloads in OpenShift environments.