# perfetto-mcp-rs

> perfetto-mcp-rs — tooluse-labs-perfetto-mcp-rs. Use this tool when you need to analyze Perfetto traces using large language models (LLMs) and query .pftrace files in PerfettoSQL. It solves problems related to trace analysis and debugging by providing a server for MCP clients, such as Claude Code, to interface with Perfetto traces. The tool takes .pftrace files as input and outputs query results via the MCP client interface.

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

## Description

Perfetto trace analysis via MCP — PerfettoSQL queries plus dedicated Chrome tools for scroll jank, page loads, and main-thread hotspots

## Trust

- **Trust score (0–1):** 0.32
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/tooluse-labs/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": "tooluse-labs-perfetto-mcp-rs"
    }
  }
}
```

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