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entanglr/zettelkasten-mcp

๐Ÿ ๐Ÿ  A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, and search atomic notes through Claude and other MCP-compatible clients.

#knowledge-management#zettelkasten#MCP-server
Publisherentanglr/zettelkasten-mcp
Submitted date4/19/2025

Overview: Zettelkasten MCP Server

Title

Zettelkasten MCP Server
A Model Context Protocol (MCP) server implementing the Zettelkasten knowledge management methodology, enabling users to create, link, and search atomic notes via Claude and other MCP-compatible clients.

How to Use

  1. Installation:

    • Clone the repository and set up a virtual environment.
    • Install dependencies using uv.
    • Configure the .env file with connection parameters.
  2. Starting the Server:

    • Run python -m zettelkasten_mcp.main or specify custom paths for notes and database.
  3. Connecting to Claude Desktop:

    • Add the server configuration to Claude Desktop for AI-assisted knowledge management.
  4. Rebuilding the Index:

    • If editing Markdown files externally, use zk_rebuild_index to update the SQLite database.

Key Features

  • Atomic Notes: Each note contains a single idea with a unique timestamp-based ID.
  • Bidirectional Linking: Build a knowledge graph with semantic relationships.
  • Markdown Support: Human-readable and editable note format.
  • Search Functionality: Find notes by content, tags, or links.
  • Dual Storage:
    • Markdown Files: Source of truth, editable in any text editor.
    • SQLite Database: Efficient indexing for fast queries and traversal.
  • Integration with Claude: AI-assisted note creation, exploration, and synthesis.

Use Cases

  • Knowledge Management: Organize research, ideas, and literature notes systematically.
  • AI-Assisted Learning: Use Claude to explore and synthesize connections between notes.
  • Academic Writing: Develop complex arguments by linking and refining atomic ideas.
  • Creative Thinking: Discover unexpected relationships through horizontal exploration.

For detailed examples and prompting guidelines, refer to the GitHub repository.

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