What is Mac Messages?

72/100
Trust Score (B)
✅ Safe

Mac Messages is a AI tool that Bridges Claude Desktop with macOS Messages app, enabling reading and sending iMessages through direct database access with contact lookup and group chat support.. It has a Nerq Trust Score of 72/100 (B). 259 GitHub stars. Published by https://github.com/carterlasalle/mac_messages_mcp. Last analyzed May 2026.

Why This Score

Trust & Safety Overview

72
TRUST SCORE
B
GRADE
259
STARS
0
DOWNLOADS

What Mac Messages Does

Mac Messages is a mcp_server in the AI tool category. Bridges Claude Desktop with macOS Messages app, enabling reading and sending iMessages through direct database access with contact lookup and group chat support.. It is published by https://github.com/carterlasalle/mac_messages_mcp and has no specified license. With 259 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use Mac Messages

Mac Messages is well-suited for production use given its strong trust score and active community.

Details

Authorhttps://github.com/carterlasalle/mac_messages_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=mac-messages

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

Safer Alternatives

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Frequently Asked Questions

What is Mac Messages used for?
Mac Messages is a AI tool tool. Bridges Claude Desktop with macOS Messages app, enabling reading and sending iMessages through direct database access with contact lookup and group chat support..
Is Mac Messages free?
License: Check project page. Mac Messages has 259 GitHub stars.
Is Mac Messages safe?
Mac Messages has a Nerq Trust Score of 72/100 (B). Safe for production use.
What are alternatives to Mac Messages?
Top alternatives: MarkItDown, Mobile Device Control, Container Use. See full comparison.

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

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