# Obsidian

> Use this tool when you need to manage and analyze Obsidian vaults, solving problems such as note organization, search, and link analysis. It provides a Python-based interface for file operations, search, and parsing, accepting file system inputs and producing outputs such as vault statistics and graph analyses. Use Obsidian for tasks like daily note creation, backlink detection, and vault maintenance, especially when working with large or complex note collections.

Canonical page: https://skillsregistry.net/skills/jkang8-obsidian  
JSON: https://api.skillsregistry.net/v1/skills/jkang8-obsidian

## Description

Python-based MCP server that interacts with Obsidian vaults directly through the filesystem, offering file operations (read, write, move, delete), full-text and tag search, YAML frontmatter parsing and updates, wikilink graph analysis (backlinks, outlinks, orphan detection), daily note creation with template support, and vault statistics. Includes path traversal protection for security and supports discovery of recently modified notes across various date formats and directory structures.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jkang8-obsidian)
- **Repository:** <https://github.com/jkang8/mcp-obsidian>

## 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": "jkang8-obsidian"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jkang8-obsidian` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jkang8-obsidian/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
