# Paper Reader MCP

> Use this tool when you need to efficiently search and retrieve academic papers from arXiv, with features like smart sorting and category filtering. It solves problems of information overload and difficulty in accessing full paper content by providing a streamlined interface for searching and retrieving papers in Markdown format. Ideal for researchers, students, and academics seeking to quickly find and read relevant papers within a specific category or topic.

Canonical page: https://skillsregistry.net/skills/itshen-paper-reader  
JSON: https://api.skillsregistry.net/v1/skills/itshen-paper-reader

## Description

Enables searching arXiv papers and retrieving full paper content as Markdown, with smart sorting, category filtering, and pagination.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bcteeo45ac)
- **Repository:** <https://github.com/itshen/paper_reader>

## 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": "itshen-paper-reader"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/itshen-paper-reader` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/itshen-paper-reader/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