# MollyGraph

> Use this tool when you need to extract and manage complex knowledge relationships from unstructured data, and improve the accuracy of your extraction model over time. MollyGraph solves problems related to entity recognition, relation extraction, and knowledge graph construction, providing a robust interface for querying and verifying relationships. It accepts unstructured data as input and outputs a comprehensive knowledge graph with verified relationships, making it ideal for applications requiring accurate and reliable information extraction.

Canonical page: https://skillsregistry.net/skills/brianmeyer-mollygraph  
JSON: https://api.skillsregistry.net/v1/skills/brianmeyer-mollygraph

## Description

MollyGraph builds a knowledge graph that improves its own extraction model over time. It uses a three-layer NER pipeline (GLiNER2, spaCy enrichment, and GLiREL relation extraction) with speaker-anchored ingestion and per-source confidence thresholds. Queries run graph exact-match and vector similarity searches in parallel, merging and deduplicating results. The system includes an automated LoRA fine-tuning loop that only deploys new models when they beat the current one in A/B benchmarks, plus an LLM-powered audit chain for relationship verification. Backed by Neo4j and Jina embeddings, fully configured via environment variables.

## Trust

- **Trust score (0–1):** 0.00
- **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/brianmeyer-mollygraph)
- **Repository:** <https://github.com/brianmeyer/mollygraph>

## 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": "brianmeyer-mollygraph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brianmeyer-mollygraph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brianmeyer-mollygraph/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