# Obsidian MCP Learning System

> Use this tool when you need to streamline your learning process and connect note-taking to project implementation. The Obsidian MCP Learning System solves problems of knowledge fragmentation and inefficient study planning by extracting concepts and identifying gaps in your Obsidian vault, generating personalized study plans and aligned project workflows. It takes in your Obsidian notes and outputs structured learning pathways and implementation plans, ideal for use when seeking to enhance productivity and retention in self-directed learning.

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

## Description

A local MCP server that transforms an Obsidian vault into a structured learning interface through tools for concept extraction and gap analysis. It enables AI agents to generate study plans and align note-taking with implementation projects for a more cohesive learning workflow.

## Trust

- **Trust score (0–1):** 0.99
- **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/fk1bveqo4i)
- **Repository:** <https://github.com/dhruvvenkat/obsidian-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": "dhruvvenkat-obsidian-mcp"
    }
  }
}
```

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