# YuniKorn Scheduler

> Use this tool when you need to manage and optimize batch workloads on Kubernetes, solving problems such as resource allocation and job scheduling. It provides inputs on partition and queue hierarchies, application states, and node metrics, and outputs scheduler health status and user resource usage. Use YuniKorn Scheduler in contexts where efficient batch workload management is critical, such as big data processing, scientific simulations, and machine learning workflows.

Canonical page: https://skillsregistry.net/skills/frenoid-yunikorn-scheduler  
JSON: https://api.skillsregistry.net/v1/skills/frenoid-yunikorn-scheduler

## Description

YuniKorn Scheduler provides AI agents with tools to observe and interact with the Apache YuniKorn Scheduler for Kubernetes batch workload management. It exposes tools for querying partition and queue hierarchies, application states, node metrics, user resource usage, and scheduler health status. The server supports both streamable HTTP and stdio transports, and includes two MCP resources for static data access on partitions and node utilization.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/frenoid-yunikorn-scheduler)
- **Repository:** <https://github.com/frenoid/yunikorn-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": "frenoid-yunikorn-scheduler"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/frenoid-yunikorn-scheduler` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/frenoid-yunikorn-scheduler/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