Red Hat OpenShift AI
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Red Hat OpenShift AI from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.