# Offline-RAG-Zarebin

> Use this tool when you need to access web search functionality during internet disruptions, such as those in Iran, to retrieve information and answers. Offline-RAG-Zarebin solves the problem of limited online access by utilizing a local MCP server and RAG integration with llama.cpp. It takes user queries as input and provides relevant search results as output, making it a valuable resource in areas with restricted internet connectivity.

Canonical page: https://skillsregistry.net/skills/fateh-studio-offline-rag-zarebin  
JSON: https://api.skillsregistry.net/v1/skills/fateh-studio-offline-rag-zarebin

## Description

RAG + MCP Server for llama.cpp | web search during Iran internet disruptions

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-05-03

## Source

- **Source listing:** [GitHub](https://github.com/Fateh-Studio/Offline-RAG-Zarebin)

## 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": "fateh-studio-offline-rag-zarebin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fateh-studio-offline-rag-zarebin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fateh-studio-offline-rag-zarebin/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