What is Cursor Sound?

42/100
Trust Score (E)
⚠️ Use Caution

Cursor Sound is a AI tool that Lightweight macOS server that plays a system sound effect after code generation is complete, providing auditory feedback for developers during coding sessions.. It has a Nerq Trust Score of 42/100 (E). 19 GitHub stars. Published by https://github.com/ericlistin/sound-mcp. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

42
TRUST SCORE
E
GRADE
19
STARS
0
DOWNLOADS

What Cursor Sound Does

Cursor Sound is a mcp_server in the AI tool category. Lightweight macOS server that plays a system sound effect after code generation is complete, providing auditory feedback for developers during coding sessions.. It is published by https://github.com/ericlistin/sound-mcp and has no specified license. With 19 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Cursor Sound

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

Details

Authorhttps://github.com/ericlistin/sound-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=cursor-sound

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

Safer Alternatives

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

Frequently Asked Questions

What is Cursor Sound used for?
Cursor Sound is a AI tool tool. Lightweight macOS server that plays a system sound effect after code generation is complete, providing auditory feedback for developers during coding sessions..
Is Cursor Sound free?
License: Check project page. Cursor Sound has 19 GitHub stars.
Is Cursor Sound safe?
Cursor Sound has a Nerq Trust Score of 42/100 (E). Evaluate carefully.
What are alternatives to Cursor Sound?
Top alternatives: MarkItDown, Fetch, Time. See full comparison.

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

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