# Knowledge Graph Builder MCP Server

> Knowledge Graph Builder MCP Server — nd-wuangr26-knownledge-graph-with-mcp. Use this tool when you need to extract insights from unstructured text data and visualize relationships between entities. It solves problems related to information retrieval, entity recognition, and knowledge graph construction by ingesting documents, extracting entities and relationships, and storing them in a searchable graph database. The tool accepts text inputs and outputs a searchable knowledge graph, ideal for use cases involving complex data analysis and pattern discovery.

Canonical page: https://skillsregistry.net/skills/nd-wuangr26-knownledge-graph-with-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nd-wuangr26-knownledge-graph-with-mcp

## Description

Enables ingesting documents or text to extract entities and relationships via LLM, storing them in Neo4j, and searching or retrieving episodes.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/htx2nayva5)
- **Repository:** <https://github.com/nd-wuangr26/Knownledge-Graph-with-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": "nd-wuangr26-knownledge-graph-with-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nd-wuangr26-knownledge-graph-with-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nd-wuangr26-knownledge-graph-with-mcp/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