# ai.auxen/auxen

> Use this tool when you need to deploy and manage private AI models on dedicated GPUs, solving scalability and cost optimization problems for applications like Llama, Qwen, and Mistral. It provides a pay-per-minute interface for provisioning model endpoints, taking in model specifications and outputting secure, dedicated environments. Ideal for use cases requiring high-performance, low-latency AI inference, such as real-time data processing and machine learning workloads.

Canonical page: https://skillsregistry.net/skills/ai-auxen-auxen  
JSON: https://api.skillsregistry.net/v1/skills/ai-auxen-auxen

## Description

Provision private AI model endpoints on dedicated GPUs (Llama, Qwen, Mistral). Pay per minute.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.auxen%2Fauxen)
- **Repository:** <https://github.com/auxen-ai/auxen-mcp>

## Use it

MCP endpoint published by the skill: `https://api.auxen.ai/mcp`

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": "ai-auxen-auxen"
    }
  }
}
```

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