# paper-search-mcp-openai-v2

> Use this tool when you need to accelerate literature reviews and effortlessly retrieve academic papers from leading sources. It solves problems of manual searching and downloading by providing standardized results and full-text PDFs when available. The tool takes search queries as input and outputs relevant academic papers, making it ideal for researchers and scholars conducting in-depth literature reviews.

Canonical page: https://skillsregistry.net/skills/titansneaker-paper-search-mcp-openai-v2  
JSON: https://api.skillsregistry.net/v1/skills/titansneaker-paper-search-mcp-openai-v2

## Description

Find and download academic papers from leading sources like arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic Scholar, CrossRef, and IACR. Get standardized results and fetch full-text PDFs when available. Accelerate literature reviews with deep search and effortless retrieval.

## 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:** ai-ml
- **Updated:** 2026-08-18

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/TitanSneaker/paper-search-mcp-openai-v2)
- **Repository:** <https://github.com/TitanSneaker/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": "titansneaker-paper-search-mcp-openai-v2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/titansneaker-paper-search-mcp-openai-v2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/titansneaker-paper-search-mcp-openai-v2/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