What is Outlook for macOS?

46/100
Trust Score (D)
⚠️ Use Caution

Outlook for macOS is a communication|productivity that Integrates with Microsoft Outlook for macOS using AppleScript for automated email, calendar, and contact management.. It has a Nerq Trust Score of 46/100 (D). 33 GitHub stars. Published by https://github.com/syedazharmbnr1/claude-outlook-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

46
TRUST SCORE
D
GRADE
33
STARS
0
DOWNLOADS

What Outlook for macOS Does

Outlook for macOS is a mcp_server in the communication|productivity category. Integrates with Microsoft Outlook for macOS using AppleScript for automated email, calendar, and contact management.. It is published by https://github.com/syedazharmbnr1/claude-outlook-mcp and has no specified license. With 33 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Outlook for macOS

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

Details

Authorhttps://github.com/syedazharmbnr1/claude-outlook-mcp
Categorycommunication|productivity
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=outlook-for-macos

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

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Frequently Asked Questions

What is Outlook for macOS used for?
Outlook for macOS is a communication|productivity tool. Integrates with Microsoft Outlook for macOS using AppleScript for automated email, calendar, and contact management..
Is Outlook for macOS free?
License: Check project page. Outlook for macOS has 33 GitHub stars.
Is Outlook for macOS safe?
Outlook for macOS has a Nerq Trust Score of 46/100 (D). Evaluate carefully.
What are alternatives to Outlook for macOS?
Top alternatives: meeting-minutes, pocketpal-ai, olivia. See full comparison.

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

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