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Peekaboo MCP – lightning-fast macOS screenshots for AI agents

@steipete

代码仓库主页

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

steipete

提交者

Peter Steinberger

关于 Peekaboo MCP – lightning-fast macOS screenshots for AI agents

Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.

#screenshots#analyze#macos

Peekaboo MCP – lightning-fast macOS screenshots for AI agents 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "peekaboo": {
      "command": "npx",
      "args": [
        "-y",
        "@steipete/peekaboo-mcp"
      ],
      "env": {
        "PEEKABOO_AI_PROVIDERS": "ollama/llava:latest"
      }
    }
  }
}

Peekaboo MCP – lightning-fast macOS screenshots for AI agents 工具

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点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Peekaboo MCP?

Peekaboo MCP is the MCP server component of Peekaboo, a macOS automation tool that provides high-fidelity screen capture, AI analysis, and complete GUI automation for AI agents. It integrates with AI coding tools such as Codex, Claude Code, and Cursor.

How to use Peekaboo MCP?

Install via npx -y @steipete/peekaboo (requires Node 22+). Configure in your MCP client settings using the provided JSON snippet. Optionally set AI providers via the PEEKABOO_AI_PROVIDERS environment variable or the peekaboo config add command.

Key features of Peekaboo MCP

  • Pixel-accurate captures (windows, screens, menu bar) with optional Retina scaling.
  • Natural-language agent that chains Peekaboo tools (see, click, type, scroll, hotkey, etc.).
  • Action-first UI automation with background input by default when a target process is known.
  • Direct accessibility tools for settable values and named actions (set-value, perform-action).
  • Multi-provider AI through Tachikoma, including hosted, local, and API-compatible providers.
  • MCP server for Codex, Claude Code, and Cursor plus a native CLI.

Use cases of Peekaboo MCP

  • Automate complex macOS workflows via natural language commands

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