# Obsidian Knowledge Management MCP Server

> Use this tool when you need to integrate large language models (LLMs) with Obsidian knowledge management systems, enabling secure and efficient reading, searching, and management of markdown files and associated metadata. It solves problems related to knowledge retrieval, graph operations, and data consistency, and accepts markdown files and YAML frontmatter as inputs, producing searchable and organized outputs. Ideal for use cases requiring seamless interaction between LLMs and Obsidian vaults, such as knowledge graph construction and question answering.

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

## Description

Enables LLMs to read, search, and manage Obsidian vault markdown files, including YAML frontmatter, wikilinks, and graph operations through a secure stateless I/O layer.

## Trust

- **Trust score (0–1):** 1.00
- **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/fdf158qs7x)
- **Repository:** <https://github.com/TheOutcastVirus/obsidian-knowledge-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": "theoutcastvirus-obsidian-knowledge-mcp"
    }
  }
}
```

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