# lightrag-memory-mcp

> lightrag-memory-mcp — p-belov-lightrag-memory-mcp. Use this tool when you need to efficiently search and retrieve code snippets from memory for AI coding agents like Claude Code and Codex. The lightrag-memory-mcp server enables fast, LLM-free memory search, solving problems related to code completion and retrieval. It takes in code queries as input and outputs relevant code snippets, ideal for use cases where rapid code search is required, such as during software development or coding assistance tasks.

Canonical page: https://skillsregistry.net/skills/p-belov-lightrag-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/p-belov-lightrag-memory-mcp

## Description

Thin MCP server for LightRAG: fast LLM-free memory search for AI coding agents (Claude Code, Codex)

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/p-belov/lightrag-memory-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": "p-belov-lightrag-memory-mcp"
    }
  }
}
```

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