# OmniClip-RAG

> Use this tool when you need to instantly search and retrieve information from your private documents in various formats, including Markdown, PDF, and over 1290 other formats, using any AI agent. OmniClip-RAG solves the problem of inaccessible knowledge by indexing your local documents and providing a searchable interface. It is ideal for use cases where privacy and local data control are essential, such as research, note-taking, and document management.

Canonical page: https://skillsregistry.net/skills/msjsc001-omniclip-rag  
JSON: https://api.skillsregistry.net/v1/skills/msjsc001-omniclip-rag

## Description

Local-first RAG desktop app & official MCP Server. Let any AI instantly search your private Markdown, PDF, and 1290+ document formats. (本地优先的 RAG 桌面端与官方 MCP 服务器。让任意 AI 瞬间检索你的私有 Markdown、PDF 及 1290+ 种文档格式。)

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/msjsc001/OmniClip-RAG)

## 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": "msjsc001-omniclip-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/msjsc001-omniclip-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/msjsc001-omniclip-rag/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