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 jiawei686 · MCP Server · ★ 18
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is jev-ultrafast-mcp safe to install? View the security audit →
Hand a whole browser task off in one call: a decision model drives the page server-side, so a flow costs one call, not a turn per click. Ref-based element tables, code-checked assertions, zero-model macro replay, over the Chrome DevTools Protocol.
| Stars | 18 |
| Forks | 2 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.2509601374988/100 |
| Last Updated | 2026-09-23 |
| Created | 2026-09-19 |
| Platforms | browser, claude-code, cli, mcp, python, vscode |
| Est. Tokens | ~24k |
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jev-ultrafast-mcp is Hand a whole browser task off in one call: a decision model drives the page server-side, so a flow costs one call, not a turn per click. Ref-based element tables, code-checked assertions, zero-model m. It is categorized as a MCP Server with 18 GitHub stars.
jev-ultrafast-mcp is primarily written in Python. It covers topics such as agent-tools, ai-agents, browser-agent.
You can find installation instructions and usage details in the jev-ultrafast-mcp GitHub repository at github.com/jiawei686/jev-ultrafast-mcp. The project has 18 stars and 2 forks, indicating an active community.
jev-ultrafast-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to jev-ultrafast-mcp on Agent Skills Hub include browser-mcp, chrome-agent, camofox-mcp. 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: