joplin-mcp
Integrates Claude with Joplin to enable AI-assisted note management, searchable knowledge capture, and automated documentation workflows without manual conte…
FastMCP-based MCP server for the Joplin note-taking app, built on its Python API (joppy). Provides 26 tools covering note search and CRUD, notebook and tag management, trash recovery, OCR text from attached images/PDFs, and file import (Markdown, HTML, CSV, JEX). Includes per-tool permission controls and a notebook allowlist. Installs via pip/uvx for Claude Desktop or as a Claude Code plugin.
- Ask Claude to search your Joplin notes for specific topics or project references
- Generate organized note summaries from your Joplin notebook for team documentation
- Automate creating new Joplin notes from code review feedback and meeting summaries
Integrates Claude with Joplin to enable AI-assisted note management, searchable knowledge capture, and automated documentation workflows without manual context switching between tools.
Engineering teams managing technical documentation, architecture decisions, and project knowledge within Joplin.
https://github.com/alondmnt/joplin-mcp
By alondmnt
How to Get It
/plugin marketplace add alondmnt/joplin-mcp /plugin install joplin-mcp # Claude Code; for Claude Desktop use: uvx --from joplin-mcp joplin-mcp-install
Once it’s connected, paste this into Claude:
Search my Joplin notes for specific topics or project references
Trust Signals Auto-scanned
Data & Access
Community Pulse Growing
Discussed on Reddit
- MCP server for Joplin — Reddit · 20 pts
- joplin-mcp: A minimalist MCP for integrating Joplin with AI agents — Reddit · 13 pts
- Standalone Go MCP server for Joplin (Clipper API) — Reddit · 6 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 160 GitHub stars; 6 contributors; last commit 13d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 160 GitHub stars; 6 contributors; last commit 13d ago; license MIT.