# obsidian-self-mcp

> Use this tool when you need to programmatically interact with Obsidian vaults in a headless environment, enabling AI agents to read, write, and manage notes and metadata. It solves problems of automated note management, data integration, and workflow automation by providing direct access to Obsidian data through CouchDB. With input capabilities for querying and modifying notes, and outputting updated metadata, use obsidian-self-mcp to integrate Obsidian with AI workflows and automation scripts.

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

## Description

An MCP server providing direct programmatic access to Obsidian vaults through CouchDB, the database used by Obsidian LiveSync. It enables AI agents to read, write, and manage notes and metadata in headless environments without requiring the Obsidian desktop app.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rb2eh266qo)
- **Repository:** <https://github.com/suhasvemuri/obsidian-self-mcp>

## 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": "suhasvemuri-obsidian-self-mcp"
    }
  }
}
```

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

---
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