# RAG MCP Tool

> Use this tool when you need to efficiently search and retrieve local files based on semantic meaning, rather than just file names or keywords. The RAG MCP Tool solves problems of information overload and disorganization by generating vector indexes and enabling intelligent retrieval capabilities. It takes directory scans as input and outputs relevant file results, making it ideal for use cases where quick access to specific files is crucial.

Canonical page: https://skillsregistry.net/skills/musnows-muxue-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/musnows-muxue-rag-mcp

## Description

Provides intelligent retrieval capabilities for local files by scanning directories, generating vector indexes, and enabling semantic search through RAG (Retrieval Augmented Generation) with incremental indexing support.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **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/br5on7jyyc)
- **Repository:** <https://github.com/musnows/muxue_rag_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": "musnows-muxue-rag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/musnows-muxue-rag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/musnows-muxue-rag-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