by pitiflautico · MCP Server · ★ 100
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
MCP server that drives real Chrome with your real logged-in sessions — genuine fingerprint (passes bot.sannysoft), human-like input, bot-wall aware. 43 tools, single static Rust binary.
| Stars | 100 |
| Forks | 4 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 55.4814608008527/100 |
| Last Updated | 2026-09-08 |
| Created | 2026-03-12 |
| Platforms | browser, claude-code, mcp, rust |
| Est. Tokens | ~22k |
These tools work well together with neobrowser for enhanced workflows:
Looking for a neobrowser alternative? If you're comparing neobrowser with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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neobrowser is MCP server that drives real Chrome with your real logged-in sessions — genuine fingerprint (passes bot.sannysoft), human-like input, bot-wall aware. 43 tools, single static Rust binary.. It is categorized as a MCP Server with 100 GitHub stars.
neobrowser is primarily written in Rust. It covers topics such as ai, ai-agents, ai-tools.
You can find installation instructions and usage details in the neobrowser GitHub repository at github.com/pitiflautico/neobrowser. The project has 100 stars and 4 forks, indicating an active community.
neobrowser is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to neobrowser on Agent Skills Hub include Uni-CLI, browser-debugger-cli, claude-emporium. 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: