# hKG Ontologizer

> Use this tool when you need to transform unstructured text content and web URLs into structured knowledge graphs, solving problems of entity extraction and relationship mapping for researchers, developers, and teams. It takes in text content and web URLs as inputs and outputs structured knowledge graphs with real-time visualization updates, supporting various file formats and AI model providers. Ideal for use cases involving large document analysis, knowledge management system development, and automated insight extraction, with capabilities for persistent graph storage and metadata tracking.

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

## Description

This MCP server transforms text content and web URLs into structured knowledge graphs using AI-powered entity extraction and relationship mapping, built with Python and Gradio for the MCP Hackathon 2025. The implementation supports multiple AI model providers (Ollama, LM Studio, hosted APIs) for flexible deployment, processes large content through intelligent chunking with real-time visualization updates, and integrates with Neo4j for graph storage and Qdrant for vector embeddings using UUIDv8 for unified entity tracking. Features include real-time SVG graph generation with NetworkX and matplotlib, comprehensive file format support (PDF, DOCX, CSV, HTML), and enhanced metadata tracking for knowledge graph lineage, serving researchers analyzing large documents, developers building knowledge management systems, and teams needing automated extraction of structured insights from unstructured content with persistent graph storage capabilities.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rebots-online-hkg-ontologizer)
- **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"
    }
  }
}
```

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