# OpenShift Partner Labs MCP Server

> Use this tool when you need to streamline OpenShift Partner Labs operations through natural language conversations, solving cluster management and provisioning challenges. It aggregates low-level database interactions into high-level tools, providing a user-friendly interface for lab managers and developers. Ideal for use cases requiring efficient cluster state changes and provisioning, with inputs including natural language commands and outputs including cluster status updates.

Canonical page: https://skillsregistry.net/skills/itroyano-openshift-partner-labs-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/itroyano-openshift-partner-labs-mcp-server

## Description

Enables lab managers and developers to perform OpenShift Partner Labs operations, such as cluster provisioning and state changes, through natural language conversations by aggregating low-level database interactions into high-level MCP tools.

## Trust

- **Trust score (0–1):** 0.41
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pso8k21elr)
- **Repository:** <https://github.com/itroyano/openshift-partner-labs-mcp-server>

## 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": "itroyano-openshift-partner-labs-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/itroyano-openshift-partner-labs-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/itroyano-openshift-partner-labs-mcp-server/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