# ragx

> Use this tool when you need to generate text based on external knowledge sources or manage large document collections. RAGX enables retrieval-augmented generation, hybrid search, and agentic answering, solving problems related to information retrieval and text generation. It accepts document inputs and provides querying, searching, and management outputs, ideal for use cases requiring knowledge-intensive question answering and content creation.

Canonical page: https://skillsregistry.net/skills/jieao-re-ragx  
JSON: https://api.skillsregistry.net/v1/skills/jieao-re-ragx

## Description

RAGX MCP Server enables retrieval-augmented generation with document ingestion, hybrid search, and agentic answering using Claude, exposing tools for querying, searching, and managing documents.

## Trust

- **Trust score (0–1):** 0.44
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xgawyk8si6)
- **Repository:** <https://github.com/JIEAO-re/ragx>

## 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": "jieao-re-ragx"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jieao-re-ragx` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jieao-re-ragx/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