# mykg

> mykg — senolisci-mykg. Use this tool when you need to transform raw files into structured knowledge graphs, solving data integration and ontology induction challenges. MyKG takes in raw files as input and outputs a knowledge graph with an induced ontology, enabling better data understanding and analysis. Ideal for use cases where data organization and semantic search are crucial, such as data science, research, and enterprise knowledge management.

Canonical page: https://skillsregistry.net/skills/senolisci-mykg  
JSON: https://api.skillsregistry.net/v1/skills/senolisci-mykg

## Description

MyKG Knowledge Graph Engine: Turn raw files into knowledge graphs with induced ontology

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/SenolIsci/mykg)

## 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": "senolisci-mykg"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/senolisci-mykg` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/senolisci-mykg/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