# Red Hat OpenShift AI

> Use this tool when you need to manage and interact with Red Hat OpenShift AI clusters, solve problems related to DevOps workflows, cluster monitoring, and machine learning workload management. It provides a Kubernetes API interface to list pods and workbenches within specified namespaces, requiring authenticated access via standard kubeconfig. Ideal for use cases involving container orchestration, AI integration, and workflow automation in OpenShift environments.

Canonical page: https://skillsregistry.net/skills/ada333-rhoai  
JSON: https://api.skillsregistry.net/v1/skills/ada333-rhoai

## Description

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.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ada333-rhoai)
- **Repository:** <https://github.com/ada333/mcp-server-rhoai-workbenches>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ada333-rhoai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ada333-rhoai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ada333-rhoai/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt