zettelkasten-mcp

by entanglrVerified

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients.

162
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28
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Python
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8/23/2026
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

Read the Terms of Service

Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/entanglr/zettelkasten-mcp

Getting Started

Guides for using skills like zettelkasten-mcp.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

Zettelkasten MCP Server

A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients.

What is Zettelkasten?

The Zettelkasten method is a knowledge management system developed by German sociologist Niklas Luhmann, who used it to produce over 70 books and hundreds of articles. It consists of three core principles:

  1. Atomicity: Each note contains exactly one idea, making it a discrete unit of knowledge
  2. Connectivity: Notes are linked together to create a network of knowledge, with meaningful relationships between ideas
  3. Emergence: As the network grows, new patterns and insights emerge that weren't obvious when the individual notes were created

What makes the Zettelkasten approach powerful is how it enables exploration in multiple ways:

  • Vertical exploration: dive deeper into specific topics by following connections within a subject area.
  • Horizontal exploration: discover unexpected relationships between different fields by traversing links that cross domains.

This structure invites serendipitous discoveries as you follow trails of thought from note to note, all while keeping each piece of information easily accessible through its unique identifier. Luhmann called his system his "second brain" or "communication partner" - this digital implementation aims to provide similar benefits through modern technology.

Features

  • Create atomic notes with unique timestamp-based IDs
  • Link notes bidirectionally to build a knowledge graph
  • Tag notes for categorical organization
  • Search notes by content, tags, or links
  • Use markdown format for human readability and editing
  • Integrate with Claude through MCP for AI-assisted knowledge management
  • Dual storage architecture (see below)
  • Synchronous operation model for simplified architecture

Examples

Note Types

The Zettelkasten MCP server supports different types of notes:

TypeHandleDescription
Fleeting notesfleetingQuick, temporary notes for capturing ideas
Literature notesliteratureNotes from reading material
Permanent notespermanentWell-formulated, evergreen notes
Structure notesstructureIndex or outline notes that organize other notes
Hub noteshubEntry points to the Zettelkasten on key topics

Link Types

The Zettelkasten MCP server uses a comprehensive semantic linking system that creates meaningful connections between notes. Each link type represents a specific relationship, allowing for a rich, multi-dimensional knowledge graph.

Primary Link TypeInverse Link TypeRelationship Description
referencereferenceSimple reference to related information (symmetric relationship)
extendsextended_byOne note builds upon or develops concepts from another
refinesrefined_byOne note clarifies or improves upon another
contradictscontradicted_byOne note presents opposing views to another
questionsquestioned_byOne note poses questions about another
supportssupported_byOne note provides evidence for another
relatedrelatedGeneric relationship (symmetric relationship)

Prompting

To ensure maximum effectiveness, we recommend using a system prompt ("project instructions"), project knowledge, and an appropriate chat prompt when asking the LLM to process information, or explore or synthesize your Zettelkasten notes. The docs directory in this repository contains the necessary files to get you started:

System prompts

Pick one:

Project knowledge

For end users:

Chat Prompts

Project knowledge (dev)

For developers and contributors:

NB: Optionally include the source code with a tool like repomix.

Storage Architecture

This system uses a dual storage approach:

  1. Markdown Files: All notes are stored as human-readable Markdown files with YAML frontmatter for metadata. These files are the source of truth and can be:

    • Edited directly in any text editor
    • Placed under version control (Git, etc.)
    • Backed up using standard file backup procedures
    • Shared or transferred like any other text files
  2. SQLite Database: Functions as an indexing layer that:

    • Facilitates efficient querying and search operations
    • Enables Claude to quickly traverse the knowledge graph
    • Maintains relationship information for faster link traversal
    • Is automatically rebuilt from Markdown files when needed

If you edit Markdown files directly outside the system, you'll need to run the zk_rebuild_index tool to update the database. The database itself can be deleted at any time - it will be regenerated from your Markdown files.

Installation

# Clone the repository
git clone https://github.com/entanglr/zettelkasten-mcp.git
cd zettelkasten-mcp

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

# Install dependencies
uv add "mcp[cli]"

# Install dev dependencies
uv sync --all-extras

Configuration

Create a .env file in the project root by copying the example:

cp .env.example .env

Then edit the file to configure your connection parameters.

Usage

Starting the Server

python -m zettelkasten_mcp.main

Or with explicit configuration:

python -m zettelkasten_mcp.main --notes-dir ./data/notes --database-path ./data/db/zettelkasten.db

Connecting to Claude Desktop

Add the following configuration to your Claude Desktop:

{
  "mcpServers": {
    "zettelkasten": {
      "command": "/absolute/path/to/zettelkasten-mcp/.venv/bin/python",
      "args": [
        "-m",
        "zettelkasten_mcp.main"
      ],
      "env": {
        "ZETTELKASTEN_NOTES_DIR": "/absolute/path/to/zettelkasten-mcp/data/notes",
        "ZETTELKASTEN_DATABASE_PATH": "/absolute/path/to/zettelkasten-mcp/data/db/zettelkasten.db",
        "ZETTELKASTEN_LOG_LEVEL": "INFO"
      }
    }
  }
}

Available MCP Tools

All tools have been prefixed with zk_ for better organization:

ToolDescription
zk_create_noteCreate a new note with a title, content, and optional tags
zk_get_noteRetrieve a specific note by ID or title
zk_update_noteUpdate an existing note's content or metadata
zk_delete_noteDelete a note
zk_create_linkCreate links between notes
zk_remove_linkRemove links between notes
zk_search_notesSearch for notes by content, tags, or links
zk_get_linked_notesFind notes linked to a specific note
zk_get_all_tagsList all tags in the system
zk_find_similar_notesFind notes similar to a given note
zk_find_central_notesFind notes with the most connections
zk_find_orphaned_notesFind notes with no connections
zk_list_notes_by_dateList notes by creation/update date
zk_rebuild_indexRebuild the database index from Markdown files

Project Structure

zettelkasten-mcp/
├── src/
│   └── zettelkasten_mcp/
│       ├── models/       # Data models
│       ├── storage/      # Storage layer
│       ├── services/     # Business logic
│       └── server/       # MCP server implementation
├── data/
│   ├── notes/            # Note storage (Markdown files)
│   └── db/               # Database for indexing
├── tests/                # Test suite
├── .env.example          # Environment variable template
└── README.md

Tests

Comprehensive test suite for Zettelkasten MCP covering all layers of the application from models to the MCP server implementation.

How to Run the Tests

From the project root directory, run:

Using pytest directly

python -m pytest -v tests/

Using UV

uv run pytest -v tests/

With coverage report

uv run pytest --cov=zettelkasten_mcp --cov-report=term-missing tests/

Running a specific test file

uv run pytest -v tests/test_models.py

Running a specific test class

uv run pytest -v tests/test_models.py::TestNoteModel

Running a specific test function

uv run pytest -v tests/test_models.py::TestNoteModel::test_note_validation

Tests Directory Structure

tests/
├── conftest.py - Common fixtures for all tests
├── test_integration.py - Integration tests for the entire system
├── test_mcp_server.py - Tests for MCP server tools
├── test_models.py - Tests for data models
├── test_note_repository.py - Tests for note repository
├── test_search_service.py - Tests for search service
├── test_semantic_links.py - Tests for semantic linking
└── test_zettel_service.py - Tests for zettel service

Important Notice

⚠️ USE AT YOUR OWN RISK: This software is experimental and provided as-is without warranty of any kind. While efforts have been made to ensure data integrity, it may contain bugs that could potentially lead to data loss or corruption. Always back up your notes regularly and use caution when testing with important information.

Credit Where Credit's Due

This MCP server was crafted with the assistance of Claude, who helped organize the atomic thoughts of this project into a coherent knowledge graph. Much like a good Zettelkasten system, Claude connected the dots between ideas that might otherwise have remained isolated. Unlike Luhmann's paper-based system, however, Claude didn't require 90,000 index cards to be effective.

License

MIT License

Frequently Asked Questions

What is zettelkasten-mcp?

zettelkasten-mcp is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by entanglr. A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients. It has 162 GitHub stars.

Is zettelkasten-mcp safe to use?

Yes. zettelkasten-mcp passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install zettelkasten-mcp?

Clone the repository with "git clone https://github.com/entanglr/zettelkasten-mcp" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is zettelkasten-mcp written in?

zettelkasten-mcp is primarily written in Python. It is open-source under entanglr on GitHub, so you can review or fork the full source.

Are there alternatives to zettelkasten-mcp?

Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh zettelkasten-mcp against similar tools.

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