Joplin
by jordanburke
Manage notes and notebooks seamlessly with Joplin. Create, edit, search, and organize todos and hierarchies via the REST
What it does
Provides complete access to Joplin notes through the REST API, allowing you to search, create, edit, and organize notes and notebooks.
About
Joplin is a community-built MCP server published by jordanburke that provides AI assistants with tools and capabilities via the Model Context Protocol. Manage notes and notebooks seamlessly with Joplin. Create, edit, search, and organize todos and hierarchies via the REST It is categorized under productivity.
How to install
You can install Joplin in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
MIT
Joplin is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Readme
Frequently Asked Questions
- What is the Joplin MCP server?
- Joplin is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Joplin?
- This profile displays 30 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.5★★★★★30 reviews- ★★★★★Anika Taylor· Dec 16, 2024
I recommend Joplin for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Shikha Mishra· Dec 4, 2024
We wired Joplin into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Ishan Abebe· Nov 15, 2024
We wired Joplin into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Kabir Thomas· Nov 7, 2024
Joplin is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Kabir Li· Oct 26, 2024
Useful MCP listing: Joplin is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakura Singh· Oct 6, 2024
According to our notes, Joplin benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Oshnikdeep· Sep 21, 2024
Strong directory entry: Joplin surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Hiroshi Torres· Sep 21, 2024
I recommend Joplin for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Anaya Kim· Sep 5, 2024
We evaluated Joplin against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Charlotte Wang· Aug 24, 2024
Joplin has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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