Give any AI a real computer. Open source MCP server with Ubuntu sandbox, browser automation, desktop control, and 30+ tools. Works with Claude Code, Cursor, Claude Desktop.
Config is the same across clients β only the file and path differ.
{
"mcpServers": {
"taw-computer": {
"args": [
"tsx",
"/path/to/taw-computer/mcp/index.ts"
],
"command": "npx"
}
}
}Are you the author?
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Not just write code β but open a browser, click buttons, fill forms, run servers, test in real browsers, install anything, and see the screen?
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories β click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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Your AI writes code. This lets it use a computer.
Quick Start Β· Demo Β· Hosted Version Β· Contributing Β· Report Bug
Not just write code β but open a browser, click buttons, fill forms, run servers, test in real browsers, install anything, and see the screen?
taw-computer is an open-source MCP server that gives AI agents a full Ubuntu desktop inside Docker. Your AI connects, gets a real computer, and works like a human would.
No internal LLM. No chat UI. Your AI is the brain. This is the body.
πΉ Demo coming soon β star this repo to get notified!
Other tools let AI write code. taw-computer lets AI use a computer.
| ChatGPT / Claude | Cursor / Copilot | Lovable / Bolt | taw-computer | |
|---|---|---|---|---|
| Write code | β | β | β | β |
| Run shell commands | β | Limited | Sandboxed | Full Ubuntu |
| Browse the web | β | β | β | Real Chromium |
| See & click the screen | β | β | β | Desktop + VNC |
| Install any software | β | β | β | apt/npm/pip |
| Test in real browser | β | β | Preview only | Playwright + CDP |
| Persist across sessions | β | β | β | Snapshots |
| Self-hostable | β | β | β | 100% yours |
Get running in under 5 minutes:
# 1. Clone & build
git clone https://github.com/the-agents-work/taw-computer.git
cd taw-computer
docker build -f images/Dockerfile.taw -t taw-computer-base .
# 2. Install & start
npm install && npm start
Then add to your AI client:
{
"mcpServers": {
"taw-computer": {
"command": "npx",
"args": ["tsx", "/path/to/taw-computer/mcp/index.ts"]
}
}
}
Add to Cursor MCP settings (Settings β MCP Servers) β same JSON format as above.