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 AI-XiaoDao · MCP Server · ★ 52
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-browser-mcp safe to install? View the security audit →
AI-Browser-MCP · Windows 浏览器自动化 MCP 服务 任意 AI 代理 · 一句话操控真实浏览器 · Cursor / Claude / Cline 255 工具 · MCP 协议 · 原生 API 优先 · FBrowser CEF · · MIT []() []() []() ⚡ 3 步上手 · 场景演示 · 对比 Playwright · 下载 · 开源公告 · English ✨ 一句话介绍 下载 （157MB），解压运行 。在 Cursor / Claude 里说句话，255 个预封装工具自动执行：采集数据、逆向 POST 加密、CDP 定位签名算法、自动填表。
| Stars | 52 |
| Forks | 12 |
| Language | C++ |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.3230322326237/100 |
| Last Updated | 2026-09-13 |
| Created | 2026-06-20 |
| Platforms | browser, claude-code, cli, mcp |
| Est. Tokens | ~18k |
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ai-browser-mcp is AI浏览器 MCP Server — Windows 本地浏览器自动化 MCP 服务端 · 334 个工具全量真机核验(0 失败/0 闪退) · Cursor/Claude Code/Claude Desktop/Trae 原生 stdio 直连 · Web Scraping · JS 逆向 · CDP 断点 · 指纹反检测 · 网络拦截 · 填表 RPA · FBrowser CEF 内核 · . It is categorized as a MCP Server with 52 GitHub stars.
ai-browser-mcp is primarily written in C++. It covers topics such as ai-agent, ai-browser, anti-detection.
You can find installation instructions and usage details in the ai-browser-mcp GitHub repository at github.com/AI-XiaoDao/ai-browser-mcp. The project has 52 stars and 12 forks, indicating an active community.
ai-browser-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-browser-mcp on Agent Skills Hub include camofox-mcp, native-devtools-mcp, browser-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: