# Obsidian CLI

> Use this tool when you need to automate and manage Obsidian vault operations, such as file management, search, and task tracking, to streamline workflow and data analysis. It provides 54 tools for various tasks, including link analysis, template management, and plugin control, with inputs including vault data and commands, and outputs including search results and file modifications. Ideal for use cases requiring extensive Obsidian vault management and automation, with the Obsidian desktop app running and CLI enabled.

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

## Description

Wraps the official Obsidian CLI to provide extensive vault operations for LLM agents. Exposes 54 tools covering file management, full-text search, daily notes, task tracking, tag navigation, property handling, link analysis, templates, bookmarks, plugin management, workspace control, Bases queries, and file history. Requires the Obsidian desktop app running with CLI enabled.

## 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:** ai-ml
- **Updated:** 2026-04-25

## Source

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

## 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": "storks-obsidian-cli"
    }
  }
}
```

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