{"repo":"AmrDab/clawdcursor","free":true,"listed":false,"github":"https://github.com/AmrDab/clawdcursor","clone":"git clone https://github.com/AmrDab/clawdcursor.git","description":"clawdcursor compiles whatever's on screen into one UI map — accessibility tree and OCR fused into stable, addressable elements, with a screenshot only when needed — then drives apps through reusable scripts, verifying every action and routing it through a single safety gate.","language":"TypeScript","stars":395,"topics":["ai-agent","claude","computer-use","cross-platform","desktop-automation","linux","macos","mcp","mcp-server","model-agnostic"],"license":"MIT","category":"mcp-servers","readme_excerpt":"Clawd Cursor Safe desktop control for any AI agent. Compiles the screen into a UI map and acts on elements by stable id (screenshot/vision only as a last resort), verifies its own actions , and gates everything through one safety checkpoint. Local &middot; cross-OS &middot; any model. Quickstart &middot; Why it's different &middot; The engine &middot; How it works &middot; Tools &middot; Platforms &middot; Changelog --- What it is Clawd Cursor is a local MCP server that gives any tool-calling agent &mdash; Claude Code, Cursor, Windsurf, OpenClaw, the Claude Agent SDK, or your own loop &mdash; safe control of the real desktop . It clicks, types, reads the screen, opens apps, and drives any GUI the way a human would: native apps, the browser, even a canvas. Most \"let an agent use the computer\" tools take a screenshot and feed it to a vision model &mdash; slow, expensive, and brittle. Clawd Cursor compiles the screen into one UI map : it fuses the accessibility tree and OCR into a confidence-scored set of elements, each tagged with a stable el NN id, and acts on elements by id &mdash; not pixel coordinates. Coordinates appear only in the last-resort screenshot/vision tier (live pixels off the current frame), for canvas-only apps or tasks that genuinely need spatial reasoning. The result is cheaper, faster, private, and &mdash; uniquely &mdash; it checks that each action actually did what it claimed . If a human can do it on a screen, your agent can too. No API, no integration, n","default_branch":null,"files":null,"tree":[],"storefront":"/r/AmrDab","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AmrDab/clawdcursor/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}