# arxiv-paper

> Use this tool when you need to retrieve and parse academic papers from arXiv, solving problems of accessing latest research and AI publications. It takes search queries and paper IDs as inputs, and outputs PDF links, paper metadata, and parsed content. Ideal for use cases requiring up-to-date academic research, such as literature reviews, research summaries, and AI model training data collection.

Canonical page: https://skillsregistry.net/skills/xiaobenyang-com-1777316659949571  
JSON: https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659949571

## Description

A paper retrieval and content parsing tool based on arXiv, supporting paper search, PDF link retrieval, and content parsing functions, suitable for obtaining the latest papers in academic research and AI fields.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e1jn1d86wn)
- **Repository:** <https://github.com/xiaobenyang-com/1777316659949571>

## 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": "xiaobenyang-com-1777316659949571"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659949571` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659949571/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