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Computer Use AI SDK MCP Server

@m13v

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

m13v

关于 Computer Use AI SDK MCP Server

暂无概览

Computer Use AI SDK MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Computer Use AI SDK MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 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.

常见问题

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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