Clawdcursor MCP server
Safe cross-OS desktop control for any AI agent - the fallback execution layer.
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402 stars31 downloads/wk
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If you have run it, two minutes of your experience saves the next person an afternoon.
Clawdcursor tools
No tool declarations could be read from the package source. They show once the server is installed.
Install Clawdcursor in Claude Code, Cursor or VS Code
Runs npx -y clawdcursor on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add clawdcursor -- npx -y clawdcursor
What the publisher says
From the Clawdcursor repository's README, as published. We do not edit it. Read it on GitHub
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 · cross-OS · any model.
Quickstart · Why it's different · The engine · How it works · Tools · Platforms · Changelog
<!-- ─────────────────────────────────────────────────────────────────────────── DEMO: the single highest-leverage thing on this page for a visual tool. Record a 15–25s screen capture of clawdcursor driving a real app end-to-end (open app → find a field by name → type → verify), export to docs/demo.gif, and uncomment the block below (it will sit right under the hero).
Opening an app, finding a field by name, typing, and verifying the result — accessibility-first, locally. ─────────────────────────────────────────────────────────────────────────── -->
What it is
Clawd Cursor is a local MCP server that gives any tool-calling agent — Claude Code, Cursor, Windsurf, OpenClaw, the Claude Agent SDK, or your own loop — 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 — 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 elNN id, and acts on elements by id — 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 — uniquely — 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, no problem — only the right sequence of reads, clicks, keys, and waits. Use it as the last-mile fallback: native API exists? Use it. CLI? Use it. Clawd Cursor is for the click, the legacy app, the GUI with no public surface.
Why it's different
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Clawdcursor: common questions
- Is Clawdcursor MCP server safe?
- With care: it is graded C, so read the findings first (58/100). Read the Clawdcursor safety report
- How do I install Clawdcursor?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Clawdcursor need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Clawdcursor maintained?
- The last commit was 15 days ago (2026-09-28). The latest release is v1.5.15.
- What can I use instead of Clawdcursor?
- Servers from other publishers that do the same job: agent-device MCP server, agent-device MCP server and Decionis MCP server. Compare all Clawdcursor alternatives.
Alternatives to Clawdcursor
Same job from other publishers: the closest match first, then the best rated.
- agent-deviceLet AI agents inspect, control, and debug real iOS, Android, desktop, and TV appsnot reviewedWidely usedA
- agent-deviceMCP server for mobile app automation: verify, control, and debug iOS, Android, TV, and desktop appsnot reviewedWidely usedA
- DecionisAuthorize consequential AI agent actions before executionnot reviewedEstablishedA
- MobilerunControl real Android and iOS devices with LLM agents — tap, swipe, type, automate flows.not reviewedEstablishedA
- Godot MCPAgent-driven Godot playtesting: editor control, input injection, game-time stepping, live state.not reviewedEstablishedA