# ragvault

> ragvault — maxrotemberg04-spec-rag-vault. Use this tool when you need to integrate AI capabilities with your Obsidian vaults, enabling local-first retrieval and questioning of notes with verifiable sources. It solves problems of note discoverability and question answering by providing a searchable interface for AI agents to query your notes. The ragvault tool takes in Obsidian vaults as input and outputs answers to user queries, grounded in citations from the notes.

Canonical page: https://skillsregistry.net/skills/maxrotemberg04-spec-rag-vault  
JSON: https://api.skillsregistry.net/v1/skills/maxrotemberg04-spec-rag-vault

## Description

MCP server for local-first RAG over Obsidian vaults, enabling AI agents to search and ask questions about notes with grounded citations.

## 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/rbwpcus9a0)
- **Repository:** <https://github.com/maxrotemberg04-spec/rag-vault>

## 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": "maxrotemberg04-spec-rag-vault"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maxrotemberg04-spec-rag-vault` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maxrotemberg04-spec-rag-vault/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