# mcp-perf-tools

> mcp-perf-tools — rog0x-mcp-perf-tools. Use this tool when you need to analyze and optimize the performance of AI agents, solving problems such as slow execution, memory leaks, and inefficient resource allocation. It provides inputs including JavaScript code and system resources, and outputs detailed performance metrics and recommendations for improvement. Ideal for use during AI model development, deployment, and maintenance to ensure efficient and reliable operation.

Canonical page: https://skillsregistry.net/skills/rog0x-mcp-perf-tools  
JSON: https://api.skillsregistry.net/v1/skills/rog0x-mcp-perf-tools

## Description

Provides performance analysis tools for AI agents, including JavaScript benchmarking, memory analysis, complexity estimation, bundle analysis, and load testing.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ayxaes89dd)
- **Repository:** <https://github.com/rog0x/mcp-perf-tools>

## 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": "rog0x-mcp-perf-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rog0x-mcp-perf-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rog0x-mcp-perf-tools/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