# perfetto-mcp-rs

> Use this tool when you need to analyze Perfetto traces using Large Language Models (LLMs) or query .pftrace files in PerfettoSQL. It solves problems related to trace analysis and debugging by providing an MCP server interface to interact with Perfetto traces. The tool accepts .pftrace files as input and outputs query results, making it ideal for use cases involving performance tracing and log analysis.

Canonical page: https://skillsregistry.net/skills/0xzone-perfetto-mcp-rs  
JSON: https://api.skillsregistry.net/v1/skills/0xzone-perfetto-mcp-rs

## Description

MCP server for analyzing Perfetto traces with LLMs — query .pftrace files in PerfettoSQL via Claude Code or any MCP client

## 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:** 2026-04-30

## Source

- **Source listing:** [GitHub](https://github.com/0xZOne/perfetto-mcp-rs)

## 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": "0xzone-perfetto-mcp-rs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xzone-perfetto-mcp-rs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xzone-perfetto-mcp-rs/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