# Obsidian MCP Server

> Obsidian MCP Server — jamessturges-obsidian-mcp-server. Use this tool when you need to integrate your Markdown notes with large language models (LLMs) like Claude and ChatGPT. It solves problems of note accessibility and management by exposing your notes via Streamable HTTP, enabling search, read, write, and management capabilities. This tool is ideal for users who want to leverage LLMs to interact with their Markdown notes, providing a seamless interface for inputting notes and receiving output in the form of generated text or searched results.

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

## Description

Exposes a folder of Markdown notes (Obsidian vault or plain .md files) to LLM clients like Claude and ChatGPT via Streamable HTTP, with tools for searching, reading, writing, and managing notes directly on the filesystem.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/edg3kd6b6t)
- **Repository:** <https://github.com/jamessturges/obsidian-mcp-server>

## 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": "jamessturges-obsidian-mcp-server"
    }
  }
}
```

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