# MCP Obsidian Server

> Use this tool when you need to integrate Large Language Models (LLMs) with Obsidian note management systems for advanced note editing, file operations, and search capabilities. It solves problems related to automated note organization, retrieval, and manipulation, and provides inputs for commands, queries, and note edits, with outputs including search results, note contents, and vault metadata. Ideal for use cases requiring seamless interaction between LLMs and Obsidian vaults for efficient knowledge management and retrieval.

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

## Description

Enables LLMs to interact with Obsidian vaults via the Local REST API plugin for comprehensive note management, file operations, and vault navigation. It supports creating and editing notes, executing Obsidian commands, and performing advanced searches using Dataview queries.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zt4ta9saiy)
- **Repository:** <https://github.com/fazer-ai/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": "fazer-ai-mcp-obsidian"
    }
  }
}
```

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