AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
Give your AI agent real hands on a real Android phone. Real taps, real typing, real apps — over the internet. MCP-native.
Developer toolsTypeScript · JavaScriptGitHub @manushi4OnlineOwner unconfirmed
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Give AI eyes and hands on your desktop. Open-source MCP server for desktop automation — screenshots, UI control, browser automation, OCR. Works with Claude, Cursor, and any MCP client. macOS + Windows.
Taken from the repository README
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Let AI control your desktop — click buttons, fill forms, automate workflows in ~50ms with zero extra AI calls.
An open-source MCP server for macOS and Windows. Works with Claude, Cursor, Codex CLI, and any MCP-compatible client.
AI assistants can write code but can't use your computer. Every click requires a screenshot → LLM interpretation → coordinate guess — 3-5 seconds and an API call per action.
ScreenHand gives AI direct access to native OS APIs. No screenshots needed for clicks. No AI calls for button presses.
1. Add to your AI client (one step)
Done. That's it.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
Let AI control your desktop — click buttons, fill forms, automate workflows in ~50ms with zero extra AI calls.
An open-source MCP server for macOS and Windows. Works with Claude, Cursor, Codex CLI, and any MCP-compatible client.
AI assistants can write code but can't use your computer. Every click requires a screenshot → LLM interpretation → coordinate guess — 3-5 seconds and an API call per action.
ScreenHand gives AI direct access to native OS APIs. No screenshots needed for clicks. No AI calls for button presses.
1. Add to your AI client (one step)
Done. That's it.Read the full README ↗