# perf-mcp

> Use this tool when you need to analyze Linux performance data files to identify system bottlenecks and optimize performance. It solves problems related to system performance tuning and troubleshooting by providing a range of analysis commands, including report, script, and annotate. The tool takes Linux perf data files as input and produces detailed analysis reports as output through typed tool parameters.

Canonical page: https://skillsregistry.net/skills/walac-perf-mcp  
JSON: https://api.skillsregistry.net/v1/skills/walac-perf-mcp

## Description

Enables LLMs to analyze Linux perf data files using 26 perf analysis commands, including report, script, annotate, and more, through typed tool parameters.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yki20qacwj)
- **Repository:** <https://github.com/walac/perf-mcp>

## 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": "walac-perf-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/walac-perf-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/walac-perf-mcp/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