What is Email Todo Extractor?

39/100
Trust Score (E)
🔴 Avoid

Email Todo Extractor is a AI tool that Connects to IMAP mailboxes to read emails and extract todo items, action items, and tasks using AI-powered analysis.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://github.com/zhu-luyu/email-todo-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Email Todo Extractor Does

Email Todo Extractor is a mcp_server in the AI tool category. Connects to IMAP mailboxes to read emails and extract todo items, action items, and tasks using AI-powered analysis.. It is published by https://github.com/zhu-luyu/email-todo-mcp and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Email Todo Extractor

Email Todo Extractor is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/zhu-luyu/email-todo-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=email-todo-extractor

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

Safer Alternatives

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

Frequently Asked Questions

What is Email Todo Extractor used for?
Email Todo Extractor is a AI tool tool. Connects to IMAP mailboxes to read emails and extract todo items, action items, and tasks using AI-powered analysis..
Is Email Todo Extractor free?
License: Check project page. Email Todo Extractor has 0 GitHub stars.
Is Email Todo Extractor safe?
Email Todo Extractor has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to Email Todo Extractor?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

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

We use cookies for analytics and caching. Privacy Policy