Skip to content

KVANTRA-dev/NOUZ-MCP

v3.2.1 Bugfix

This release fixes issues for SREs watching stability and regressions.

Published 20d MCP Data & Storage
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

ReleasePort's take

Light signal
editorial:auto 13d

v3.2.1 fixes suggest_metadata to require concrete chunk evidence before proposing tag candidates, preventing loose text matches from returning tags without supporting chunks.

Why it matters: Severity 50 fix. Previously loose text matches produced tag candidates without evidence chunks. Update if suggest_metadata tag suggestions influence your workflows.

Summary

AI summary

Fixed require concrete chunk evidence before suggesting tag candidates in suggest_metadata.

Changes in this release

Bugfix Medium

Require concrete chunk evidence before returning vocabulary-based tag_candidates from suggest_metadata, preventing loose text matches from proposing tags without a supporting chunk/snippet.

Require concrete chunk evidence before returning vocabulary-based tag_candidates from suggest_metadata, preventing loose text matches from proposing tags without a supporting chunk/snippet.

Source: llm_adapter@2026-05-21

Confidence: high

Full changelog

Patch release after live tag/chunk audit.\n\nFixed:\n- Require concrete chunk evidence before returning vocabulary-based tag_candidates from suggest_metadata, preventing loose text matches from proposing tags without a supporting chunk/snippet.\n\nVerified:\n- Live Obsidian DB rehearsal and live indexing with index_all(with_embeddings=true).\n- python -m pytest -q\n- python test_server.py

Weekly OSS security release digest.

The CVE patches and breaking changes that affected production tools this week. One email, every Sunday.

No spam, unsubscribe anytime.

Share this release

Track KVANTRA-dev/NOUZ-MCP

Get notified when new releases ship.

Sign up free

About KVANTRA-dev/NOUZ-MCP

Semantic knowledge graph for Obsidian. Three modes (pure graph / semantic classification / strict hierarchy)

All releases →

Beta — feedback welcome: [email protected]