# XcodeTraceMCP

> Use this tool when you need to identify and optimize performance issues in Xcode projects. It analyzes and compares Xcode Instruments traces to detect bottlenecks and regressions, providing recommendations for improvement. Ideal for AI assistants tasked with streamlining app development and enhancing overall system efficiency.

Canonical page: https://skillsregistry.net/skills/jamesrochabrun-xcodetracemcp  
JSON: https://api.skillsregistry.net/v1/skills/jamesrochabrun-xcodetracemcp

## Description

Enables AI assistants to record, analyze, and compare Xcode Instruments traces, detect performance bottlenecks and regressions, and provide optimization recommendations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i9v704sk8a)
- **Repository:** <https://github.com/jamesrochabrun/XcodeTraceMCP>

## 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": "jamesrochabrun-xcodetracemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jamesrochabrun-xcodetracemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jamesrochabrun-xcodetracemcp/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