Computer Use AI SDK MCP Server

@m13v

Basic information

About Computer Use AI SDK MCP Server

No overview available yet

Computer Use AI SDK MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Computer Use AI SDK MCP Server tools

Tool list not available yet

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Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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.

Frequently asked questions

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.

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.

Does it work on Windows or Linux?

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

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.

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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