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Zettelkasten MCP Server

@entanglr

代码仓库

基本信息

分类

记忆与知识

许可证

MIT

传输方式

stdio

作者

entanglr

关于 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.

#python#markdown#mcp#knowledge-graph#note-taking#obsidian#claude#zettelkasten#llm#mcp-server

Zettelkasten MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "zettelkasten-mcp": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Zettelkasten MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Zettelkasten MCP Server?

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

How to use Zettelkasten MCP Server?

Install by cloning the repository, creating a virtual environment with uv venv, and adding the mcp[cli] dependency. Configure a .env file from .env.example. Start the server with python -m zettelkasten_mcp.main (optionally with --notes-dir and --database-path). Connect to Claude Desktop by adding an MCP server entry in its configuration pointing to the Python executable and the module.

Key features of Zettelkasten MCP Server

  • 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 human‑readable Markdown with YAML frontmatter
  • Dual storage: Markdown files (source of truth) + SQLite index
  • Supports five note types: fleeting, literature, permanent, structure, hub
  • Provides 14 MCP tools (all prefixed with zk_)

Use cases of Zettelkasten MCP Server

  • Build a personal knowledge network of linked atomic ideas
  • Capture and organize insights from reading (literature notes)
  • Discover emergent patterns by traversing semantic links between notes
  • Use Claude as an AI assistant to create, explore, and synthesize notes
  • Maintain a version‑controlled, backup‑friendly knowledge base

常见问题

1

What storage architecture does the server use?

Notes are stored as Markdown files with YAML frontmatter (the source of truth) and indexed in a SQLite database for efficient querying and graph traversal. The database can be rebuilt from the Markdown files at any time.

2

What note and link types are available?

Notes can be fleeting, literature, permanent, structure, or hub. Links support seven semantic types – reference, extends, refines, contradicts, questions, supports, and related – each with a defined inverse relationship.

3

What are the runtime dependencies?

Python 3, `uv`, and the `mcp[cli]` package. The server is run as a Python module (`zettelkasten_mcp.main`) and connects to MCP‑compatible clients.

4

Where does the data live?

Note content is stored in a user‑configured `data/notes` directory as Markdown files. The SQLite index resides in `data/db/`. Both paths are set via environment variables or command‑line arguments.

5

Is the server safe for production use?

No. The README states the software is experimental and provided as‑is without warranty. It may contain bugs that could lead to data loss or corruption. Regular backups are recommended.

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