# Paper Search

> Use this tool when you need to efficiently search and download academic papers from multiple sources, such as arXiv and Google Scholar, to accelerate literature reviews. It solves problems of tedious manual searching and inconsistent metadata by fetching PDFs, extracting full text, and providing standardized metadata for easier filtering, citation, and analysis. Inputs include search queries and source selections, with outputs being downloadable PDFs and extracted full text with consistent metadata.

Canonical page: https://skillsregistry.net/skills/adamamer20-paper-search-mcp-openai  
JSON: https://api.skillsregistry.net/v1/skills/adamamer20-paper-search-mcp-openai

## Description

Search and download academic papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic Scholar, and IACR. Fetch PDFs and extract full text to accelerate literature reviews. Get consistent metadata for easier filtering, citation, and analysis.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-18

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/adamamer20/paper-search-mcp-openai)
- **Repository:** <https://github.com/adamamer20/paper-search-mcp-openai>

## 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": "adamamer20-paper-search-mcp-openai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adamamer20-paper-search-mcp-openai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adamamer20-paper-search-mcp-openai/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