# Obsidian

> Use this tool when you need to interact with Obsidian notes programmatically, enabling AI assistants to read, modify, and search Markdown files with granular control. It solves problems related to note manipulation, content insertion, and navigation, providing a standardized interface for automation. Ideal for use cases requiring flexible and targeted note editing, such as data enrichment, knowledge graph construction, or automated content generation.

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

## Description

A lightweight MCP server for interacting with Obsidian notes through the Obsidian Local REST API. Enables AI assistants to read, modify, search, and navigate Markdown files in an Obsidian vault with granular control over content insertion, targeting specific headings, block references, and frontmatter. Designed to provide a flexible, standardized interface for programmatic note manipulation.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gregkonush-obsidian)
- **Repository:** <https://github.com/gregkonush/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": "gregkonush-obsidian"
    }
  }
}
```

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