# auto_llm_routing_server

> Use this tool when you need to automate routing for large language models, solving problems of efficient model deployment and scalability. It takes in model specifications and input requests, outputting optimized routing configurations to streamline model performance. Ideal for use cases involving high-volume language processing and machine learning workflows.

Canonical page: https://skillsregistry.net/skills/jeonggyu11-auto-llm-routing-server  
JSON: https://api.skillsregistry.net/v1/skills/jeonggyu11-auto-llm-routing-server

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/JeongGyu11/auto_llm_routing_server)
- **Repository:** <https://github.com/JeongGyu11/Auto_LLM_Routing_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": "jeonggyu11-auto-llm-routing-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jeonggyu11-auto-llm-routing-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jeonggyu11-auto-llm-routing-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