# mcp-lightrag

> Use this tool when you need to integrate AI capabilities with LightRAG knowledge graphs, enabling smart data management and semantic queries for Obsidian vaults. It supports upsert operations, document management, and graph queries, making it ideal for applications requiring intelligent data interaction. This tool is suitable for use cases involving knowledge graph-based data management, semantic search, and AI-driven document organization.

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

## Description

Enables AI assistants to interact with LightRAG knowledge graphs, supporting smart upsert for Obsidian vaults, semantic queries, and document/graph management.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zs0j168zrf)
- **Repository:** <https://github.com/enriquecatala/mcp-lightrag>

## 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": "enriquecatala-mcp-lightrag"
    }
  }
}
```

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