# GraphRAG Llama Index MCP Server

> Use this tool when you need to perform semantic search, entity graph exploration, and corpus statistics on a local knowledge graph, enabling AI agents to query document collections with hybrid search and entity-relationship extraction. It solves problems related to information retrieval, knowledge graph construction, and offline data analysis, providing a privacy-first solution. Ideal for use cases requiring offline operation, secure data processing, and advanced search capabilities.

Canonical page: https://skillsregistry.net/skills/t-nhannguyen-graphrag-llamaindex  
JSON: https://api.skillsregistry.net/v1/skills/t-nhannguyen-graphrag-llamaindex

## Description

Enables AI agents to query a local knowledge graph built from document collections using hybrid search (BM25 + vector fusion) and entity-relationship extraction. Supports privacy-first, offline operation with tools for semantic search, entity graph exploration, and corpus statistics.

## Trust

- **Trust score (0–1):** 0.11
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wd5w9vthxg)
- **Repository:** <https://github.com/T-NhanNguyen/graphRAG-LlamaIndex>

## 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": "t-nhannguyen-graphrag-llamaindex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/t-nhannguyen-graphrag-llamaindex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/t-nhannguyen-graphrag-llamaindex/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