Obsidian Zettelkasten MCP Server

Obsidian Zettelkasten MCP Server

Enables AI models to read, search, and write notes in an Obsidian vault following the Zettelkasten method, with tools for semantic search, memo reading/writing, and dialogue saving.

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README

Obsidian Zettelkasten MCP Server

This is an MCP (Model Context Protocol) server designed to connect your Obsidian Vault with AI models (like Claude in Cursor).

Intended Use Case

This tool is specifically designed for users who manage their knowledge with the following setup:

  • Zettelkasten Method: Organizing notes using a directory structure like 000_Slipbox in an Obsidian Vault.
  • AI Dialogue Aggregation: Consolidating AI conversations into specific directories like 000_Slipbox/ai_dialogues (or 11_claude_dialogues, etc.) to track the evolution of your thoughts.
  • Git Submodule Workflow: Managing the Obsidian Vault as a Git submodule within a project workspace to treat code and knowledge as an integrated system.

Tools Provided

  • search_memos: Semantic search across your Vault. Finds relevant notes even if keywords don't match exactly.
  • read_memo: Read the content of a specific note.
  • write_memo: Save a plain Markdown file to a specific path (for drafts or documents).
  • write_dialogue: Save a conversation as a formatted dialogue note (with date and provider).
  • list_recent_memos: List recently updated notes.

Setup Instructions

1. Install Dependencies

pip install -r requirements.txt

2. Register in Cursor

You can enable this server in Cursor settings to allow Claude to read and write your notes directly.

  1. Open Cursor Settings (Cmd+,).
  2. Navigate to Features > MCP.
  3. Click + Add New MCP Server.
  4. Enter the following information and click Save:
  • Name: ObsidianMemo
  • Type: command
  • Command:
    /path/to/your/venv/bin/python /path/to/server.py
    

For more advanced configuration (e.g., in mcp.json), use the following structure:

{
  "mcpServers": {
    "ObsidianMemo": {
      "command": "/path/to/your/venv/bin/python",
      "args": [
        "/path/to/server.py"
      ],
      "env": {
        "OBSIDIAN_VAULT_PATH": "/path/to/your/obsidian/vault"
      }
    }
  }
}

Usage Examples

Once registered, you can prompt Claude like this:

  • "Search for notes about 'LLM architecture' from last month."
  • "Save this discussion as a new note titled 'MCP Integration Ideas' in the ai_dialogues folder."
  • "What are the 5 most recently updated notes?"

Important Notes

  • This server communicates via stdio (standard input/output).
  • Note saving defaults to 000_Slipbox/ai_dialogues/, but you can specify existing folders like 11_claude_dialogues.
  • Set the root path of your Vault by either editing DEFAULT_VAULT_PATH in server.py or setting the OBSIDIAN_VAULT_PATH environment variable.

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