# mcp-curiosity-engine

> mcp-curiosity-engine — ermintoygar-mcp-curiosity-engine. Use this tool when you need to uncover hidden connections in your markdown vaults and rediscover forgotten notes. The mcp-curiosity-engine solves the problem of dormant knowledge by analyzing wikilink graph structures and file modification times to identify neglected notes, generating bridge queries for serendipitous rediscovery. It takes markdown vaults as input and outputs cross-domain bridge queries, ideal for use cases where you want to stimulate creativity and uncover new relationships between seemingly unrelated ideas.

Canonical page: https://skillsregistry.net/skills/ermintoygar-mcp-curiosity-engine  
JSON: https://api.skillsregistry.net/v1/skills/ermintoygar-mcp-curiosity-engine

## Description

Surfaces forgotten notes from markdown vaults using wikilink graph structure and file mtime to identify dormant notes, then generates cross-domain bridge queries for serendipitous rediscovery.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gn9di7cpr9)
- **Repository:** <https://github.com/ermintoygar/mcp-curiosity-engine>

## 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": "ermintoygar-mcp-curiosity-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ermintoygar-mcp-curiosity-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ermintoygar-mcp-curiosity-engine/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