# Obsidian Reader

> Use this tool when you need to efficiently search and access a large collection of Markdown notes stored in an Obsidian vault, solving problems of note organization and retrieval. It takes a directory of Markdown files as input and provides searchable note content as output. Utilize it when working with extensive knowledge bases or personal wikis, especially those managed with git version control.

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

## Description

Read and search within a directory of Markdown notes in an Obsidian vault.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/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": "mcp-obsidian"
    }
  }
}
```

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