Atlas / MCP servers / dweigend / Joplin

JoplinSAFE

mcp/dweigend/joplin

A Model Context Protocol (MCP) Server for https://joplinapp.org/ that enables note access through the https://modelcontextprotocol.io. Perfect for integration with AI assistants like Claude.

Verdict
SAFE
Grade
B
Trust score
89 /100
Exposed tools
11 5r · 5w · 1d
Transport
stdio
License
MIT
Stars
94
01

Overview

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

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
  • 📚 List Notebooks: Browse available notebooks and sub-notebooks
  • 🗂️ Create Notebooks: Create notebooks and nested sub-notebooks
  • 📖 Read Notes: Retrieve individual notes
  • ✏️ Edit Notes: Create new notes and update existing ones
  • 🗑️ Delete Notes: Move notes to trash or delete permanently
  • 📥 Markdown Import: Import markdown files as notes
  • 🤖 AI Integration: Seamless integration with Claude and other MCP-capable AI assistants

🚀 Installation

Prerequisites

  • Python 3.10 or higher
  • Joplin Desktop with Web Clipper Service enabled
  • uv (Python package manager)
# Clone repository
git clone https://github.com/dweigend/joplin-mcp.git
cd joplin-mcp

# Create and activate virtual environment
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install dependencies

uv pip install -e .


## ⚙️ Configuration

### Joplin API Token

1. Open Joplin Desktop
2. Go to Tools -> Options -> Web Clipper
3. Enable the Web Clipper Service
4. Copy the API Token

Create a `.env` file in the project directory:

JOPLINTOKEN=yourapitokenhere


### Claude Desktop Setup

1. **Install Claude Desktop**
- Download [Claude Desktop](https://claude.ai/download)
- Ensure you have the latest version (Menu: Claude -> Check for Updates...)

2. **Configure MCP Server**

{ "mcpServers": { "joplin": { "command": "/PATH/TO/UV/uv", "args": [ "--directory", "/PATH/TO/YOUR/PROJECT/joplinmcp", "run", "src/mcp/joplinmcp.py" ] } }

Read from source at commit 694f137e7ce9OBSERVED · 2026-10-07
02

Connect

Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control.

claude-code
claude mcp add joplin-mcp -- uvx joplin-mcp
claude-desktop
{
  "mcpServers": {
    "joplin-mcp": {
      "command": "uvx",
      "args": [
        "joplin-mcp"
      ]
    }
  }
}
03

Exposed tools (11)

5 read · 5 write · 1 destructive. Blast radius: 1 tool can delete or overwrite — an agent that can be talked into calling a tool can be talked into calling this one.

ToolRiskDescription
build_semantic_indexwriteBuild or update the local semantic search index.
create_notewriteCreate a new note in Joplin.
create_notebookwriteCreate a new Joplin notebook.
delete_notedestructiveDelete a note from Joplin.
find_linked_notesreadFind notes connected to a note by Joplin
find_similar_notesreadFind notes whose content resembles a given note.
get_notereadGet a specific note by ID.
import_markdownwriteImport a markdown file as a new note.
list_notebooksreadList available Joplin notebooks.
search_notesreadSearch for notes in Joplin by keyword, meaning, or both.
update_notewriteUpdate an existing note in Joplin.
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfaceWARN
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
declared (1 observation(s))
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (2)

MEDIUMFilesystem / path · mcp.destructive_tools · CWE-22, CWE-59
delete_note
Why it matters. 1 tool(s) can delete or overwrite
Fix. prefer a read-only mode or scoped tokens; the page states the blast radius
INFOPrompt injection · prompt.credential_read · CWE-94, CWE-1427
README.md:80
**Important**: Claude Desktop needs the full path to `uv` as it cannot access shell environment variables.
Why it matters. asks the agent to read credentials

Gates applied: no_behavioural_pass.

Audited 2026-10-07 · audit v0.4.1 · source sha 694f137e7ce9full audit observations/trust-audit/mcp-server/dweigend__joplin.json · Report an issue / request a re-scan
05

Audit history

Every audit this server has had. A grade with a past is a grade somebody is still checking.

DateSourceVerdictGradeScoreChange
2026-10-07694f137e7ce9SAFEB89first audit
06

Questions

What is the Joplin MCP server?

A Model Context Protocol (MCP) Server for https://joplinapp.org/ that enables note access through the https://modelcontextprotocol.io. Perfect for integration with AI assistants like Claude.

What tools does Joplin expose?

11 in total: 5 read-only, 5 that write, and 1 that can delete or overwrite (delete_note). Every one is listed on this page with its risk.

Is Joplin safe to connect to an agent?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B. Separately from the audit: 1 of its tools can destroy data, so scope the token you give it to what you actually need.

What credentials does Joplin need?

No credential environment variables were found in its source, so it appears to need none.

How does Joplin run?

It speaks stdio, so it runs as a local process your client starts. It is published on PyPI as joplin-mcp.

How current is this page?

The grade is for one exact copy of the source (694f137e7ce9), read on 2026-10-07. The repository is watched and re-audited when it changes.

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