# GraphRAG MCP Server

> Use this tool when you need to build and query knowledge graphs from unstructured documents, and require entity extraction and graph health monitoring capabilities. It ingests documents, extracts entities using Gemini, and stores them in Neo4j, providing outputs for graph querying and health analysis. Ideal for use cases involving knowledge base construction, entity disambiguation, and semantic search.

Canonical page: https://skillsregistry.net/skills/lemondude21-mcp-graphrag-test  
JSON: https://api.skillsregistry.net/v1/skills/lemondude21-mcp-graphrag-test

## Description

Enables building and querying knowledge graphs by ingesting documents into Neo4j using Gemini for entity extraction, and exposes MCP tools for graph health, document ingestion, and knowledge base querying.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/koxokjibos)
- **Repository:** <https://github.com/lemondude21/mcp-graphrag-test>

## 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": "lemondude21-mcp-graphrag-test"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lemondude21-mcp-graphrag-test` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lemondude21-mcp-graphrag-test/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