What is HackMD?

44/100
Trust Score (E)
⚠️ Use Caution

HackMD is a AI tool that Integrates with HackMD API to enable document creation, reading, updating, and deletion within collaborative markdown environments through authentication-secured personal and team workflows.. It has a Nerq Trust Score of 44/100 (E). 54 GitHub stars. Published by https://github.com/yuna0x0/hackmd-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

44
TRUST SCORE
E
GRADE
54
STARS
0
DOWNLOADS

What HackMD Does

HackMD is a mcp_server in the AI tool category. Integrates with HackMD API to enable document creation, reading, updating, and deletion within collaborative markdown environments through authentication-secured personal and team workflows.. It is published by https://github.com/yuna0x0/hackmd-mcp and has no specified license. With 54 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use HackMD

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

Details

Authorhttps://github.com/yuna0x0/hackmd-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=hackmd

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 HackMD used for?
HackMD is a AI tool tool. Integrates with HackMD API to enable document creation, reading, updating, and deletion within collaborative markdown environments through authentication-secured personal and team workflows..
Is HackMD free?
License: Check project page. HackMD has 54 GitHub stars.
Is HackMD safe?
HackMD has a Nerq Trust Score of 44/100 (E). Evaluate carefully.
What are alternatives to HackMD?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

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

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