# MCP-based Knowledge Graph Construction System

> Use this tool when you need to automatically construct knowledge graphs from unstructured text data, solving problems of data disorganization and information retrieval. It takes in raw text as input and outputs structured knowledge graphs with confidence scores, along with interactive visualizations. This system is ideal for use cases where large amounts of text data need to be organized and represented in a meaningful way.

Canonical page: https://skillsregistry.net/skills/turambar928-mcp-based-kg-construction  
JSON: https://api.skillsregistry.net/v1/skills/turambar928-mcp-based-kg-construction

## Description

An automated system that processes raw text through a three-stage pipeline to assess data quality, enhance information, and generate structured knowledge graphs. It provides tools for triple extraction with confidence scoring and creates interactive HTML visualizations of the resulting graph.

## Trust

- **Trust score (0–1):** 0.16
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c0p1rgz8fa)
- **Repository:** <https://github.com/turambar928/MCP_based_KG_construction>

## 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": "turambar928-mcp-based-kg-construction"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/turambar928-mcp-based-kg-construction` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/turambar928-mcp-based-kg-construction/pull`

---
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