Give Claude, Cursor, or any MCP-compatible agent real Windows, Linux, and Android environments. Build, push, run, and iterate — with actual logs and screenshots, not guesses.
> User: Fix the Windows build bug, then verify it actually works.
→ rigworks.build_for_platform("windows") ✓ 842 KB exe built
→ rigworks.deploy_to_test_env(artifact_id) ✓ deployed to env-3f2a
→ rigworks.run_test_scenario({...}) ✓ ran 34s, 3 screenshots
→ rigworks.capture_logs_screenshots_metrics() ✓ no crashes, UI rendered
✓ Verified: Build succeeded. App launched cleanly.AI agents currently guess whether their code works. Rigworks lets them prove it.
Windows native apps, Linux/Docker, Android emulators, web browsers — all in isolated, real environments.
Sign up, pick a plan, click Launch. Your dedicated rig is ready in about a minute.
Works with Claude Desktop, Cursor, Codex, or any agent that speaks MCP. Add one URL + token.
Build → push → run → collect logs/screenshots → feed back to the agent → iterate until it passes.
Each environment runs on its own VPS. No noisy neighbors, no data leakage.
Not a sandbox. Hyper-V virtual machines, Android emulators, actual OS processes.
Four steps from signup to a self-improving AI agent.
Email + password. Pick Hobby, Pro, or Enterprise based on the platforms and hours you need.
Rigworks provisions a dedicated rig with the platform runtimes pre-installed: Hyper-V, Docker, Android SDK, browser drivers.
Copy the MCP URL and token into Claude Desktop, Cursor, or any MCP-compatible client. One-time setup.
Your agent calls build, deploy, run, and analyze tools. Real execution, real logs, real screenshots. Iterate until done.
Start verifying it, on real machines, in under a minute.
Create your accountNo credit card required for 14-day trial.