# Knowledge Graph Builder

> Use this tool when you need to extract insights from unstructured text or web content and represent them as structured knowledge graphs. It solves problems of information retrieval, entity recognition, and relationship mapping by transforming raw data into actionable graphs. The tool takes in text or web content and outputs structured graphs stored in Neo4j and Qdrant, ideal for use cases requiring complex data modeling and querying.

Canonical page: https://skillsregistry.net/skills/rebots-online-hkg-ontologizer-kgb-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rebots-online-hkg-ontologizer-kgb-mcp

## Description

Transforms text or web content into structured knowledge graphs using local AI models with MCP integration for persistent storage in Neo4j and Qdrant.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/djd98d2efo)
- **Repository:** <https://github.com/rebots-online/hKG-ontologizer-KGB-mcp>

## 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": "rebots-online-hkg-ontologizer-kgb-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rebots-online-hkg-ontologizer-kgb-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rebots-online-hkg-ontologizer-kgb-mcp/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