# Zettelkasten

> Use this tool when you need to manage and connect complex ideas, notes, and research across a knowledge network. It solves problems of information overload, disorganization, and missed connections by providing semantic linking, tag-based organization, and similarity search capabilities. With inputs of individual notes and outputs of a web-like knowledge structure, use Zettelkasten when researching, writing, or building emergent insights in a non-hierarchical and highly interconnected way.

Canonical page: https://skillsregistry.net/skills/zettelkasten  
JSON: https://api.skillsregistry.net/v1/skills/zettelkasten

## Description

A Zettelkasten knowledge management system implementing Niklas Luhmann's atomic note-taking methodology as an MCP server. Built with Python and SQLite, it provides tools for creating interconnected notes with semantic linking types (extends, refines, contradicts, supports, etc.), tag-based organization, and similarity search across a growing knowledge network. The implementation supports multiple note types (fleeting, literature, permanent, structure, hub) and includes features like bidirectional linking, orphaned note detection, and full-text search, making it valuable for researchers, writers, and knowledge workers who want to build emergent insights through connected atomic ideas rather than traditional hierarchical organization.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zettelkasten)
- **Repository:** <https://github.com/liam-deacon/zettelkasten-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zettelkasten"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zettelkasten` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zettelkasten/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt