# Obsidian MCP Server (TypeScript)

> Use this tool when you need to interact with Obsidian vaults programmatically, providing a unified interface to access and manage markdown notes, images, and other binary files. It solves problems related to data retrieval, caching, and tool discovery, enabling efficient automation and integration of Obsidian vaults with other applications. With REST API inputs and comprehensive data outputs, it's ideal for use cases requiring high-performance data access and manipulation.

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

## Description

A high-performance TypeScript server that enables interaction with Obsidian vaults through the Local REST API community plugin. It provides comprehensive tool discovery, intelligent resource caching, and unified access to both markdown notes and binary vault files like images and PDFs.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ifrqq7igpb)
- **Repository:** <https://github.com/duquesnay/obsidian-mcp-ts>

## 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": "duquesnay-obsidian-mcp-ts"
    }
  }
}
```

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