# RAG Obsidian MCP Server

> Use this tool when you need to perform semantic searches over a large collection of notes in an Obsidian vault, enabling you to find and retrieve specific information using natural language queries. It solves problems of information discovery and note retrieval, allowing users to efficiently search and read notes. The tool takes natural language inputs and returns relevant notes and information as output.

Canonical page: https://skillsregistry.net/skills/lion9-rag-obsidian  
JSON: https://api.skillsregistry.net/v1/skills/lion9-rag-obsidian

## Description

Enables semantic search over an Obsidian vault using ChromaDB, allowing users to search, read, and list notes via natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d6nm30x7uc)
- **Repository:** <https://github.com/lion9/RAG_Obsidian>

## 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": "lion9-rag-obsidian"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lion9-rag-obsidian` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lion9-rag-obsidian/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