# Inference AIops

> Inference AIops — aiops-tools-inference-aiops. Use this tool when you need to optimize and govern AI operations for GPU inference clusters, solving problems of inefficiency and errors through root-cause analysis and policy-governed operations. It takes in metrics and operational data, outputting actionable insights and recommendations for vLLM and Ray deployments. Ideal for use cases requiring scalable, reliable, and transparent AI operations management.

Canonical page: https://skillsregistry.net/skills/aiops-tools-inference-aiops  
JSON: https://api.skillsregistry.net/v1/skills/aiops-tools-inference-aiops

## Description

Enables governance-grade AIops for GPU inference clusters with root-cause analysis, metrics, and policy-governed operations for vLLM and Ray.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p0wv315cxu)
- **Repository:** <https://github.com/AIops-tools/Inference-AIops>

## 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": "aiops-tools-inference-aiops"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aiops-tools-inference-aiops` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aiops-tools-inference-aiops/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