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Computer Use AI SDK MCP Server

@m13v

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基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

m13v

Computer Use AI SDK MCP Server について

概要はまだありません

Computer Use AI SDK MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "MCP-server-client-computer-use-ai-sdk": {
      "command": "npx",
      "args": [
        "tsx",
        "main.ts"
      ]
    }
  }
}

Computer Use AI SDK MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Computer Use AI SDK?

It is an open‑source MCP server that controls a computer natively on macOS, using underlying desktop‑rendered elements instead of pixel‑based vision. It is designed as an alternative to proprietary computer‑use agents like OpenAI’s Operator and Claude’s Computer Use, giving developers full control without virtual machines or guardrails.

How to use Computer Use AI SDK?

Clone the repository, install Rust and Node.js, then run the backend server with cargo run --bin server in the mcp-server-os-level directory. Choose between a CLI interface (set the ANTHROPIC_API_KEY environment variable and run npx tsx main.ts in mcp-client-cli-interface) or a web‑app interface (set the key in a .env file and run npm run dev in mcp-client-nextjs).

Key features of Computer Use AI SDK

  • Launches apps, reads content, clicks, enters text, and presses keys.
  • Uses desktop‑rendered elements for speed and reliability.
  • Native on macOS with no virtual machine overhead.
  • No guardrails — full control over any app or website.
  • Provides both CLI and web‑based client interfaces.
  • Integrates with Anthropic’s API for AI agent capabilities.

Use cases of Computer Use AI SDK

  • Build custom AI agent workflows for automating everyday computer tasks.
  • Develop custom user interfaces for computer automation.
  • Schedule workflows to run periodically via cron.
  • Combine with other MCP servers for cross‑system automation.

よくある質問

1

What makes this different from pixel‑based computer use tools?

It reads desktop‑rendered elements instead of pixels, making it faster and more reliable than vision‑based models, and runs natively on macOS without virtual machines.

2

What are the runtime requirements?

You need Rust (install via rustup), Node.js and npm, and an Anthropic API key set as an environment variable.

3

Does it work on Windows or Linux?

The README only describes native macOS support; no other platforms are mentioned.

4

How do I authenticate?

Set the `ANTHROPIC_API_KEY` environment variable (or place it in a `.env` file for the web app) with your Anthropic API key.

5

Are there any guardrails or restrictions?

No guardrails — the tool is designed for full control of your computer, and you can use it with any app or website however you want.

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