No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by AmrDab · MCP Server · ★ 403
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is clawdcursor safe to install? View the security audit →
Clawd Cursor The local MCP server that gives any agent safe desktop control. Any model. Any app. One MCP entry. Local-only. Quickstart</a
| Stars | 403 |
| Forks | 59 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 63.8952630746041/100 |
| Open Issues | 9 |
| Last Updated | 2026-10-03 |
| Created | 2026-02-19 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~22k |
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clawdcursor is 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 s. It is categorized as a MCP Server with 403 GitHub stars.
clawdcursor is primarily written in TypeScript. It covers topics such as ai-agent, ai-tools, anthropic.
You can find installation instructions and usage details in the clawdcursor GitHub repository at github.com/AmrDab/clawdcursor. The project has 403 stars and 59 forks, indicating an active community.
clawdcursor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to clawdcursor on Agent Skills Hub include toolhive-studio, native-devtools-mcp, Overture. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: