# Paper Find

> Use this tool when you need to discover and retrieve academic papers from multiple sources, such as arXiv, PubMed, and Google Scholar, and require features like PDF downloading, full-text extraction, and metadata retrieval. It solves problems of fragmented academic paper searches and provides a unified interface for various paper identifiers, including DOIs, arXiv IDs, and PubMed IDs. It is ideal for researchers, students, and academics looking to streamline their paper search and retrieval process.

Canonical page: https://skillsregistry.net/skills/h-lu-paper-find  
JSON: https://api.skillsregistry.net/v1/skills/h-lu-paper-find

## Description

Integrates with arXiv, Semantic Scholar, PubMed, bioRxiv, medRxiv, CrossRef, IACR ePrint Archive, Google Scholar, and RePEc to provide unified academic paper discovery and retrieval. Supports PDF downloading, full-text extraction using PyMuPDF4LLM for markdown conversion, and detailed metadata retrieval including citations, keywords, and publication history. The server offers both compact and detailed search modes to balance speed versus completeness, handles various paper identifier formats (DOIs, arXiv IDs, PubMed IDs), and includes robust error handling with network timeout management.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/h-lu-paper-find)
- **Repository:** <https://github.com/h-lu/paper-find-mcp>

## 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": "h-lu-paper-find"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/h-lu-paper-find` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/h-lu-paper-find/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