# lightrag-mcp

> Use this tool when you need to integrate AI assistants with a knowledge graph for enhanced document management and querying capabilities. It solves problems related to information retrieval and multi-mode queries by bridging AI systems with LightRAG's knowledge graph through the Model Context Protocol. This tool is ideal for use cases requiring complex data management and querying, accepting inputs such as documents and queries, and outputting relevant information and results.

Canonical page: https://skillsregistry.net/skills/d8corp-lightrag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/d8corp-lightrag-mcp

## Description

Bridges AI assistants with LightRAG's knowledge graph capabilities, enabling document management and multi-mode queries through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yet3y3igez)
- **Repository:** <https://github.com/d8corp/lightrag-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": "d8corp-lightrag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/d8corp-lightrag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/d8corp-lightrag-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