# Paper Search

> Paper Search — adamamer20-paper-search. Use this tool when you need to streamline academic research by searching and retrieving papers from multiple sources, including arXiv, PubMed, and Google Scholar, through a unified interface. It solves problems of fragmented research workflows and literature reviews by providing standardized search and fetch tools, PDF downloads, and text extraction capabilities. Ideal for research workflows, literature reviews, and AI-assisted academic research, this tool aggregates results and provides efficient multi-platform queries with intelligent caching and asynchronous processing.

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

## Description

A multi-source academic paper search and retrieval server that aggregates results from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, IACR ePrint Archive, Semantic Scholar, and CrossRef through a unified interface. Built by P.S Zhang with FastMCP, it provides both legacy platform-specific search tools and standardized search/fetch tools compatible with OpenAI Deep Research, featuring PDF download capabilities, text extraction using PyPDF2, intelligent caching with LRU eviction, and asynchronous processing for efficient multi-platform queries. The implementation handles rate limiting, provides consistent Paper object formatting across all sources, and includes containerized deployment support, making it useful for research workflows, literature reviews, and AI-assisted academic research where accessing papers from multiple databases through a single interface streamlines the discovery and analysis process.

## Trust

- **Trust score (0–1):** 0.36
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/adamamer20-paper-search)
- **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"
    }
  }
}
```

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