What is BrowserGenie?

40/100
Trust Score (E)
🔴 Avoid

BrowserGenie is a AI tool that Automate Chrome browsers through a paired extension with 50+ tools for navigation, clicking, screenshots, DevTools inspection, and macro recording.. It has a Nerq Trust Score of 40/100 (E). 2 GitHub stars. Published by https://github.com/browsergenie/mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

40
TRUST SCORE
E
GRADE
2
STARS
0
DOWNLOADS

What BrowserGenie Does

BrowserGenie is a mcp_server in the AI tool category. Automate Chrome browsers through a paired extension with 50+ tools for navigation, clicking, screenshots, DevTools inspection, and macro recording.. It is published by https://github.com/browsergenie/mcp and has no specified license. With 2 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use BrowserGenie

BrowserGenie is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/browsergenie/mcp
CategoryAI tool
LicenseNot specified
Typemcp_server
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=browsergenie

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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MarkItDown4292.8K
Filesystem5089.4K
Time5089.4K
Sequential Thinking5089.4K
Fetch5089.4K

Frequently Asked Questions

What is BrowserGenie used for?
BrowserGenie is a AI tool tool. Automate Chrome browsers through a paired extension with 50+ tools for navigation, clicking, screenshots, DevTools inspection, and macro recording..
Is BrowserGenie free?
License: Check project page. BrowserGenie has 2 GitHub stars.
Is BrowserGenie safe?
BrowserGenie has a Nerq Trust Score of 40/100 (E). Evaluate carefully.
What are alternatives to BrowserGenie?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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