Pepper

Pepper

Pepper gives AI agents eyes and hands inside iOS Simulator apps, enabling them to view screens, tap buttons, inspect objects, and intercept network calls without source access.

Category
访问服务器

README

Pepper

Pepper gives AI agents eyes and hands inside iOS Simulator apps.

It injects a shared library into any running simulator app — no source changes, no SDK, no build step. Your agent sees the screen as structured data, taps buttons, inspects live objects, intercepts network calls, reads the heap, and debugs layout issues. Dylib injection requires the simulator; device support uses a different mechanism.

https://github.com/user-attachments/assets/42ab3f1b-21f8-48e6-820f-7ca4012fb03b

Claude navigating and inspecting Ice Cubes (Mastodon client) with zero source access.

Works with Claude Code · Cursor · Claude Desktop · any MCP client

Quickstart

Requires macOS 14+, Python 3.10+, and an iOS Simulator runtime.

pip install pepper-ios
pepper-ctl deploy            # inject into the frontmost simulator app
pepper-ctl look              # see what's on screen

Then ask your agent:

"Tap through the onboarding flow and make sure every screen looks right"

That's it. The agent uses Pepper's MCP tools to see, tap, and inspect — no extra config needed.

<details> <summary>Other MCP clients (Cursor, Claude Desktop, etc.)</summary>

{
  "mcpServers": {
    "pepper": {
      "command": "pepper-mcp"
    }
  }
}

</details>

<details> <summary>Homebrew</summary>

brew install --HEAD skwallace36/pepper/pepper

Tap: skwallace36/homebrew-pepper

</details>

What It Does

$ pepper-ctl look
Screen: navigation_stack  (9 interactive, 4 text)

       seg  "Trending"                       → tap text:"Trending"
       btn  "Sheryl Weikal, Right wing tech bros: we love St..."
                                              → tap text:"Sheryl Weikal, Right wing tech bros: we ..."
       seg  "Settings"                       → tap text:"Settings"

$ pepper-ctl tap --text "Settings"
Action: Tapped Settings
Screen: navigation_stack  Title: "Settings"  (15 interactive, 3 text)

       btn  "App Icon"                       → tap text:"App Icon"
       btn  "Display Settings"              → tap text:"Display Settings"
       ...

Every element comes with its tap command. The agent sees the screen, acts, and gets the new state back in one round trip.

Things you can ask your agent

These work against any app — no setup beyond deploy.

"Why is this list empty? Check the network request and see what the API returned"

"What objects are holding a reference to DeviceActuationService? I think it's leaking"

"Switch to dark mode and look for any text that's invisible against the background"

"The login button isn't responding — check the responder chain and see what's intercepting taps"

"Profile the scroll performance on the feed. Is anything hitching?"

"Read what's in the keychain after logout — nothing should be left"

"Turn off the feature flag for new-nav and make sure the old flow still works"

View hierarchy, network interception, heap inspection, console capture, crash logs, performance profiling, accessibility audits, constraint debugging, keychain/UserDefaults/CoreData access, locale and orientation control, feature flags, push notifications — 60+ tools in total. Parameter docs are built into every tool; your MCP client surfaces them automatically.

How It Works

Pepper uses macOS's dynamic linker (DYLD_INSERT_LIBRARIES) to load a dylib into the simulator process at launch. The dylib starts a WebSocket server on a local port. pepper-mcp connects to that WebSocket and translates MCP tool calls into commands executed inside the app.

Because it runs in-process, Pepper has access to the full view hierarchy, the ObjC runtime, live object graphs, network delegates, and the HID event system. All touch input goes through native input events (IOHIDEvent) — the same path real fingers take. No private APIs, no entitlements — just dyld.

Development

dylib/DYLIB.md — architecture and adding commands · tools/TOOLS.md — MCP tool layer · docs/TROUBLESHOOTING.md — common issues

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