# ai.getvda/traced-multi-llm-proxy

> ai.getvda/traced-multi-llm-proxy — ai-getvda-traced-multi-llm-proxy. Use this tool when you need to manage and proxy multiple large language models (LLMs) for efficient and scalable natural language processing tasks. It solves problems related to model management, routing, and optimization, allowing for seamless integration of multiple LLMs into applications. The tool accepts input requests, routes them to appropriate LLMs, and returns output responses, making it ideal for use cases requiring multi-model support and flexibility.

Canonical page: https://skillsregistry.net/skills/ai-getvda-traced-multi-llm-proxy  
JSON: https://api.skillsregistry.net/v1/skills/ai-getvda-traced-multi-llm-proxy

## Description

Traced Multi-LLM Proxy

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.getvda%2Ftraced-multi-llm-proxy)

## Use it

MCP endpoint published by the skill: `https://traced-multi-llm-proxy.getvda.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-getvda-traced-multi-llm-proxy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-getvda-traced-multi-llm-proxy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-getvda-traced-multi-llm-proxy/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