# multi-llm-mcps

> multi-llm-mcps — teo-lin-multi-llm-mcps. Use this tool when you need to manage and interact with multiple Large Language Model (LLM) servers, solving problems of scalability and accessibility in AI model deployment. It provides a centralized interface for inputting commands and receiving outputs from various LLM servers, streamlining model management. Ideal for use cases requiring simultaneous model interactions, such as multi-model comparisons or ensemble methods.

Canonical page: https://skillsregistry.net/skills/teo-lin-multi-llm-mcps  
JSON: https://api.skillsregistry.net/v1/skills/teo-lin-multi-llm-mcps

## Description

MCP Servers

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/teo-lin/multi-llm-mcps)

## 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": "teo-lin-multi-llm-mcps"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/teo-lin-multi-llm-mcps` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/teo-lin-multi-llm-mcps/pull`

---
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