What is ContentKeeper?

39/100
Trust Score (E)
🔴 Avoid

ContentKeeper is a AI tool that Manages the full content lifecycle for flat-file publishing sites, from draft creation through staging, building, and FTP deployment.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://github.com/russellbits/mcp-contentkeeper. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What ContentKeeper Does

ContentKeeper is a mcp_server in the AI tool category. Manages the full content lifecycle for flat-file publishing sites, from draft creation through staging, building, and FTP deployment.. It is published by https://github.com/russellbits/mcp-contentkeeper and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use ContentKeeper

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

Details

Authorhttps://github.com/russellbits/mcp-contentkeeper
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=contentkeeper

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

Safer Alternatives

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MarkItDown4292.8K
Sequential Thinking5089.4K
Filesystem5089.4K
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Frequently Asked Questions

What is ContentKeeper used for?
ContentKeeper is a AI tool tool. Manages the full content lifecycle for flat-file publishing sites, from draft creation through staging, building, and FTP deployment..
Is ContentKeeper free?
License: Check project page. ContentKeeper has 0 GitHub stars.
Is ContentKeeper safe?
ContentKeeper has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to ContentKeeper?
Top alternatives: MarkItDown, Sequential Thinking, Filesystem. See full comparison.

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

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