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

> ai.getvda/traced-llm-mcp-proxy — ai-getvda-traced-llm-mcp-proxy. Use this tool when you need to intercept and manipulate requests to large language models, enabling tracing and monitoring of model performance. It solves problems related to model transparency, debugging, and optimization by providing a proxy interface to inject custom logic and track model interactions. This proxy accepts model requests as input and returns modified responses, making it ideal for use cases requiring enhanced model visibility and control.

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

## Description

Traced LLM MCP 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-llm-mcp-proxy)

## Use it

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

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