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 kontext-dev · MCP Server · ★ 811
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is browser-use-mcp-server safe to install? View the security audit →
browser-use-mcp-server An MCP server that enables AI agents to control web browsers using browser-use. 🌐 Want to Vibe Browse the Web? Open-source AI-powered web browser - Vibe Browser. 🔗 Managing multiple MCP servers? Simplify your development workflow with agent-browser Prerequisites uv - Fast Python package manager Playwright - Browser automation mcp-proxy - Required for stdio mode Environment Create a file: Installation bash Install dependencies uv sync uv pip
| Stars | 811 |
| Forks | 111 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 76.6948392537007/100 |
| Open Issues | 16 |
| Last Updated | 2025-07-10 |
| Created | 2025-03-06 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~18k |
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browser-use-mcp-server is Browse the web, directly from Cursor etc.. It is categorized as a MCP Server with 811 GitHub stars.
browser-use-mcp-server is primarily written in Python. It covers topics such as browser, browser-use, cursor.
You can find installation instructions and usage details in the browser-use-mcp-server GitHub repository at github.com/kontext-dev/browser-use-mcp-server. The project has 811 stars and 111 forks, indicating an active community.
browser-use-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to browser-use-mcp-server on Agent Skills Hub include vibetest-use, mcp-pointer, web-agent-protocol. 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: