# LLM Graph Builder MCP

> Use this tool when you need to extract insights from unstructured data sources, such as URLs, PDFs, and YouTube videos, to build structured knowledge graphs. It solves problems related to information extraction, research, and content analysis by automatically identifying entities and relationships. The tool takes in URLs, PDFs, and YouTube videos as input and outputs a structured knowledge graph in Neo4j, supporting custom schemas and advanced analytics.

Canonical page: https://skillsregistry.net/skills/henrardo-llm-graph-builder-mcp  
JSON: https://api.skillsregistry.net/v1/skills/henrardo-llm-graph-builder-mcp

## Description

Enables Claude to automatically extract entities and relationships from URLs, PDFs, and YouTube videos to build structured knowledge graphs in Neo4j. It supports custom schemas, academic citation extraction, and community detection for advanced research and content analysis.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lf6si4kmnl)
- **Repository:** <https://github.com/henrardo/llm-graph-builder-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": "henrardo-llm-graph-builder-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/henrardo-llm-graph-builder-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/henrardo-llm-graph-builder-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