What is Vikunja?

41/100
Trust Score (E)
⚠️ Use Caution

Vikunja is a AI tool that Integrates with Vikunja self-hosted task management to enable project and task operations including kanban boards, labels, comments, assignees, and bulk operations with safety controls for destructive. It has a Nerq Trust Score of 41/100 (E). 6 GitHub stars. Published by https://github.com/aimbitgmbh/vikunja-mcp. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

41
TRUST SCORE
E
GRADE
6
STARS
0
DOWNLOADS

What Vikunja Does

Vikunja is a mcp_server in the AI tool category. Integrates with Vikunja self-hosted task management to enable project and task operations including kanban boards, labels, comments, assignees, and bulk operations with safety controls for destructive actions.. It is published by https://github.com/aimbitgmbh/vikunja-mcp and has no specified license. With 6 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Vikunja

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

Details

Authorhttps://github.com/aimbitgmbh/vikunja-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=vikunja

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

Safer Alternatives

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Frequently Asked Questions

What is Vikunja used for?
Vikunja is a AI tool tool. Integrates with Vikunja self-hosted task management to enable project and task operations including kanban boards, labels, comments, assignees, and bulk operations with safety controls for destructive.
Is Vikunja free?
License: Check project page. Vikunja has 6 GitHub stars.
Is Vikunja safe?
Vikunja has a Nerq Trust Score of 41/100 (E). Evaluate carefully.
What are alternatives to Vikunja?
Top alternatives: MarkItDown, Time, Sequential Thinking. See full comparison.

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

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