# vault-recommender

> Use this tool when you need to discover related notes and connections within your Obsidian vault, or when you want to uncover forgotten knowledge and missing links between ideas. The vault-recommender analyzes embedding similarity and wiki-link graphs to provide semantic recommendations, helping users navigate and expand their knowledge base. It takes in vault data as input and outputs relevant note suggestions, making it ideal for users seeking to enhance their note-taking and knowledge management workflows.

Canonical page: https://skillsregistry.net/skills/joshuaoliphant-vault-recommender  
JSON: https://api.skillsregistry.net/v1/skills/joshuaoliphant-vault-recommender

## Description

Enables semantic recommendation for Obsidian vaults, allowing users to find related notes, forgotten knowledge, and missing connections through embedding similarity and wiki-link graph analysis.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/md6nh7c704)
- **Repository:** <https://github.com/JoshuaOliphant/vault-recommender>

## 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": "joshuaoliphant-vault-recommender"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/joshuaoliphant-vault-recommender` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/joshuaoliphant-vault-recommender/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