Noteriv: A fast, open-source markdown editor

by thejacedev · MCP Server · ★ 108

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install Noteriv

git clone https://github.com/thejacedev/Noteriv.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

daily-notesknowledge-baseknowledge-managementmarkdownmarkdown-editormcpnextjsnote-takingnotesobsidian-alternative

Quick Facts

Stars108
Forks16
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score63/100
Last Updated2026-11-04
Created2026-03-13
Platformsmcp, node
Est. Tokens~22k

About Noteriv

Noteriv Fast markdown notes, everywhere. The open-source markdown editor with a graph view, plugin API, themes, Git/WebDAV sync, and an AI MCP server — built on Tauri 2. 15 MB. Linux, macOS, Windows. React Native mobile companion app. Note: The mobile app is a work in progress. All features ship to desktop first.

Noteriv alternative? Top 6 similar tools

Looking for a Noteriv alternative? If you're comparing Noteriv with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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