# scitex-scholar

> scitex-scholar — scitex-ai-scitex-scholar. Use this tool when you need to streamline your scientific research workflow by searching, enriching, and managing academic papers. It solves problems related to information overload, disorganization, and accessibility of scientific literature, providing a unified interface for searching, downloading, and organizing papers. Ideal for researchers, students, and academics, scitex-scholar accepts search queries as input and outputs relevant paper metadata, full-text downloads, and citations, integrating with git for version control.

Canonical page: https://skillsregistry.net/skills/scitex-ai-scitex-scholar  
JSON: https://api.skillsregistry.net/v1/skills/scitex-ai-scitex-scholar

## Description

Scientific paper search, enrichment, download, and management

## Trust

- **Trust score (0–1):** 0.41
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/scitex-ai/scitex-scholar)

## 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": "scitex-ai-scitex-scholar"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/scitex-ai-scitex-scholar` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/scitex-ai-scitex-scholar/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