Knovaryn is an MCP server published by waalwalker1 in the AI category: open, MCP-native training-data foundry: turn permitted documents into traceable, quality-gated SFT and preference datasets.
The repository has 1 stars and 0 forks, with the last commit a month ago. Recent commit activity is the strongest signal that reported issues will get attention.
Install
From source
git clone https://github.com/waalwalker1/knovaryn
This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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Security checks
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Releases
v0.2.0v0.2.0 · 21 Aug 2026Highlights Truth-before-reach remediation**: every quality gate in the acceptance path is now wired into the product, not just tested as library code — semantic consistency (causal reversal, number/unit mismatch, negation flip, entity-role…
v0.1.1Knovaryn 0.1.1 · 13 Aug 2026What's Changed Production correctness: provenance, quality, MCP, REST, deploy, docs & release prep (WPs A-N + audit) by @waalwalker1 in https://github.com/waalwalker1/knovaryn/pull/1 New Contributors @waalwalker1 made their first…
No package has been published for this server, so install it from source: clone the repository and follow its README.
Is Knovaryn safe to use with an AI agent?
Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.
Is Knovaryn still maintained?
Yes — the latest release is v0.2.0 (21 Aug 2026), and the last commit was a month ago. The repository has 1 stars.