joplin-mcp-server: A Model Context Protocol Server for that enables note access through the Perfect for integration with AI

by dweigend · MCP Server · ★ 96

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

Security audit verdict: SAFE · quality 72/100

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.

joplinmcp-server

Quick Facts

Stars96
Forks18
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score72/100
Open Issues7
Last Updated2026-08-12
Created2025-02-14
Platformsclaude-code, mcp, python
Est. Tokens~14k

About joplin-mcp-server

📝 Joplin MCP Server A Model Context Protocol (MCP) Server for Joplin that enables note access through the Model Context Protocol. Perfect for integration with AI assistants like Claude. ✨ Features 🔍 Search Notes: Full-text search across all notes 📖 Read Notes: Retrieve individual notes ✏️ Edit Notes: Create new notes and update existing ones 🗑️ Delete Notes: Move notes to trash or delete...

joplin-mcp-server alternative? Top 1 similar tools

Looking for a joplin-mcp-server alternative? If you're comparing joplin-mcp-server with other mcp server tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • joplin-mcp by alondmnt · ⭐ 171

    MCP server for the Joplin note taking app

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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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