What is Cursor Snap?

43/100
Trust Score (E)
⚠️ Use Caution

Cursor Snap is a coding that Interactive feedback server for Cursor IDE with one-click agent interrupt, screenshot capture, system tray integration, and hook-based workflow control.. It has a Nerq Trust Score of 43/100 (E). 1 GitHub stars. Published by https://github.com/zrn6640/cursor-snap-mcp. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

43
TRUST SCORE
E
GRADE
1
STARS
0
DOWNLOADS

What Cursor Snap Does

Cursor Snap is a mcp_server in the coding category. Interactive feedback server for Cursor IDE with one-click agent interrupt, screenshot capture, system tray integration, and hook-based workflow control.. It is published by https://github.com/zrn6640/cursor-snap-mcp and has no specified license. With 1 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Cursor Snap

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

Details

Authorhttps://github.com/zrn6640/cursor-snap-mcp
Categorycoding
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-snap

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

Safer Alternatives

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ollama64163.0K
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system-prompts-and-models-of-ai-tools64115.3K
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Frequently Asked Questions

What is Cursor Snap used for?
Cursor Snap is a coding tool. Interactive feedback server for Cursor IDE with one-click agent interrupt, screenshot capture, system tray integration, and hook-based workflow control..
Is Cursor Snap free?
License: Check project page. Cursor Snap has 1 GitHub stars.
Is Cursor Snap safe?
Cursor Snap has a Nerq Trust Score of 43/100 (E). Evaluate carefully.
What are alternatives to Cursor Snap?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.

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

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