# Obsidian Zettelkasten MCP Server

> Use this tool when you need to integrate AI models with your Obsidian vault, enabling them to read, search, and write notes using the Zettelkasten method. It solves problems of note management, semantic search, and dialogue tracking, providing inputs for AI models to read and write memos, and outputs for searching and retrieving relevant information. Ideal for use cases where AI-driven note-taking and knowledge management are required, with interfaces for seamless interaction between AI models and Obsidian vaults.

Canonical page: https://skillsregistry.net/skills/shuhei0866-mcp-server-obsidian-slipbox  
JSON: https://api.skillsregistry.net/v1/skills/shuhei0866-mcp-server-obsidian-slipbox

## Description

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.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bghpub1rqt)
- **Repository:** <https://github.com/shuhei0866/mcp-server-obsidian-slipbox>

## 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": "shuhei0866-mcp-server-obsidian-slipbox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shuhei0866-mcp-server-obsidian-slipbox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shuhei0866-mcp-server-obsidian-slipbox/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