InstrumentsMCP

InstrumentsMCP

Enables AI agents to profile iOS/macOS apps using Xcode Instruments, automate simulator interactions, and get structured performance data for optimization.

Category
访问服务器

README

<p align="center"> <img src="instrumentsmcp-icon.svg" alt="InstrumentsMCP icon" width="152" /> </p>

<h1 align="center">InstrumentsMCP</h1>

<p align="center"> <strong>Profiler data for agents.</strong> </p>

<p align="center"> <a href="https://www.npmjs.com/package/instrumentsmcp"><img src="https://img.shields.io/npm/v/instrumentsmcp" alt="npm"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a> <a href="https://nodejs.org"><img src="https://img.shields.io/badge/node-%3E%3D20-brightgreen" alt="Node.js"></a> <a href="https://modelcontextprotocol.io"><img src="https://img.shields.io/badge/MCP-compatible-purple" alt="MCP"></a> </p>

MCP server that wraps Xcode Instruments. Record traces, automate the simulator, and return structured profiling data your coding agent can act on.

Quick Start

Requirements: macOS, Xcode, Node.js >= 20

Add to your project's .mcp.json:

{
  "mcpServers": {
    "instruments": {
      "command": "npx",
      "args": ["-y", "instrumentsmcp@latest"]
    }
  }
}

Or run directly: npx instrumentsmcp@latest

Works with Claude Code, Cursor, Windsurf, and any MCP client.

What It Does

Ask your agent to profile. It records a trace, drives the simulator, and returns structured results:

=== Time Profiler ===  severity: [WARNING]  samples: 1587

Hotspots:
  UpdateStack::update() (AttributeGraph)  42.3ms self ━━━━━━╌╌╌╌╌╌╌╌╌ 12.1%
  FeedViewModel.loadItems() (MyApp)        28.1ms self ━━━━╌╌╌╌╌╌╌╌╌╌╌ 8.0%

Main thread blockers:
  [WARNING] FeedViewModel.loadItems()  28.1ms

35 tools across profiling, UI automation, simulator control, and trace analysis. Full tool list →

Profiling

  • One-shotprofile_cpu, profile_swiftui, profile_memory, profile_hitches, profile_launch, profile_energy, profile_leaks, profile_network
  • Scripted scenariosprofile_scenario records a trace while executing UI steps (tap, scroll, type, launch)
  • Interactivestart_profiling / stop_profiling for manual interaction
  • Health checkperformance_audit runs 5 templates and combines the results
  • Any templateprofile_raw handles templates without a dedicated parser

UI Automation

Drive the simulator programmatically: ui_tap, ui_type, ui_swipe, ui_gesture, ui_snapshot, ui_long_press. Powered by AXe CLI (brew tap cameroncooke/axe && brew install axe).

Simulator Control

Launch/terminate apps, open deep links, push notifications, take screenshots, set location, toggle dark mode.

Analysis

Re-analyze saved traces, drill into specific functions, track regressions with baselines, generate Markdown reports.

CLI Mode

Record traces from the terminal without an MCP client:

npx instrumentsmcp record --process MyApp
npx instrumentsmcp record --process MyApp --template Allocations

Ctrl+C to stop. Feed the trace to your agent for analysis.

Compatibility

  • Xcode Instruments (xctrace) 15.x through 26.x
  • Handles xctrace 26 Deferred recording mode automatically
  • Device identifiers (booted, device name, UDID) resolved automatically

Docs

<details> <summary><b>Architecture</b></summary>

src/
├── index.ts              # MCP server entry + CLI router
├── cli.ts                # CLI mode (instrumentsmcp record)
├── tools/
│   ├── profile.ts        # One-shot profiling tools
│   ├── simulator.ts      # Simulator control + start/stop + scenarios
│   ├── analyze.ts        # Trace analysis + symbolication + audit
│   ├── baseline.ts       # Baseline comparison + report generation
│   ├── investigate.ts    # Drill-down + trace listing
│   ├── ui.ts             # UI automation (snapshot, tap, type, swipe)
│   └── list.ts           # Discovery tools (status, templates, devices)
├── parsers/              # Template-specific XML→JSON parsers
└── utils/                # xctrace, simctl, AXe wrappers + shared helpers

</details>

<details> <summary><b>Build from source</b></summary>

git clone https://github.com/nemanjavlahovic/instruments-mcp-server.git
cd instruments-mcp-server
npm install && npm run build

Point your MCP client to dist/index.js.

</details>

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选