# v8-cpu-profile-decoder-mcp

> v8-cpu-profile-decoder-mcp — vola-trebla-v8-cpu-profile-decoder-mcp. Use this tool when you need to analyze CPU consumption and identify performance bottlenecks in V8-based applications. It decodes V8 CPU profiles into concise summaries, providing insights into call trees, GC pressure, and async bottlenecks. By using this tool, AI agents can efficiently process and understand CPU profiles, enabling data-driven optimization and improvement of application performance.

Canonical page: https://skillsregistry.net/skills/vola-trebla-v8-cpu-profile-decoder-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vola-trebla-v8-cpu-profile-decoder-mcp

## Description

An MCP server that decodes V8 CPU profiles into token-efficient bottleneck summaries for AI agents, enabling them to analyze CPU consumption, call trees, GC pressure, and async bottlenecks.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lo8eshifjg)
- **Repository:** <https://github.com/vola-trebla/v8-cpu-profile-decoder-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": "vola-trebla-v8-cpu-profile-decoder-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vola-trebla-v8-cpu-profile-decoder-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vola-trebla-v8-cpu-profile-decoder-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