# Paper Search MCP 서버

> arXiv, PubMed 등에서 학술 논문을 검색하고 전문을 다운로드합니다.

- 가격: 무료로 연결 · 원 제공처 요금 별도
- URL: https://daas.listeningmind.ai/ko/catalog/mcps/x-mcp-adamamer20-paper-search-mcp-openai
- 출처: Smithery https://smithery.ai/server/adamamer20/paper-search-mcp-openai
- 이번 주 순위: #3 (score 80)

## 설치

```
npx -y @smithery/cli install adamamer20/paper-search-mcp-openai --client claude
```
- Remote: https://paper-search-mcp-openai--adamamer20.run.tools

## 도구 (25)

- `search`: Deep Research compatible search tool aggregating across sources.
- `fetch`: Fetch full document content for a search result.
- `search_arxiv`: Search academic papers from arXiv. Args: query: Search query string (e.g., 'machine learning'). maxresults: Maximum number of papers to return (default: 10).
- `search_pubmed`: Search academic papers from PubMed. Args: query: Search query string (e.g., 'machine learning'). maxresults: Maximum number of papers to return (default: 10).
- `search_biorxiv`: Search academic papers from bioRxiv. Args: query: Search query string (e.g., 'machine learning'). maxresults: Maximum number of papers to return (default: 10).
- `search_medrxiv`: Search academic papers from medRxiv. Args: query: Search query string (e.g., 'machine learning'). maxresults: Maximum number of papers to return (default: 10).
- `search_google_scholar`: Search academic papers from Google Scholar. Args: query: Search query string (e.g., 'machine learning'). maxresults: Maximum number of papers to return (default: 10).
- `search_iacr`: Search academic papers from IACR ePrint Archive. Args: query: Search query string (e.g., 'cryptography', 'secret sharing').
- `download_arxiv`: Download PDF of an arXiv paper. Args: paperid: arXiv paper ID (e.g., '2106.12345'). savepath: Directory to save the PDF (default: './downloads').
- `download_pubmed`: Attempt to download PDF of a PubMed paper. Args: paperid: PubMed ID (PMID). savepath: Directory to save the PDF (default: './downloads').
- `download_biorxiv`: Download PDF of a bioRxiv paper. Args: paperid: bioRxiv DOI. savepath: Directory to save the PDF (default: './downloads'). Returns: Path to the downloaded PDF file.
- `download_medrxiv`: Download PDF of a medRxiv paper. Args: paperid: medRxiv DOI. savepath: Directory to save the PDF (default: './downloads'). Returns: Path to the downloaded PDF file.
- `download_iacr`: Download PDF of an IACR ePrint paper. Args: paperid: IACR paper ID (e.g., '2009/101'). savepath: Directory to save the PDF (default: './downloads').
- `read_arxiv_paper`: Read and extract text content from an arXiv paper PDF. Args: paperid: arXiv paper ID (e.g., '2106.12345').
- `read_pubmed_paper`: Read and extract text content from a PubMed paper. Args: paperid: PubMed ID (PMID). savepath: Directory where the PDF would be saved (unused).
- `read_biorxiv_paper`: Read and extract text content from a bioRxiv paper PDF. Args: paperid: bioRxiv DOI. savepath: Directory where the PDF is/will be saved (default: './downloads').
- `read_medrxiv_paper`: Read and extract text content from a medRxiv paper PDF. Args: paperid: medRxiv DOI. savepath: Directory where the PDF is/will be saved (default: './downloads').
- `read_iacr_paper`: Read and extract text content from an IACR ePrint paper PDF. Args: paperid: IACR paper ID (e.g., '2009/101').
- `search_semantic`: Search academic papers from Semantic Scholar. Args: query: Search query string (e.g., 'machine learning').
- `download_semantic`: Download PDF of a Semantic Scholar paper. Args: paperid: Semantic Scholar paper ID, Paper identifier in one of the following formats: - Semantic Scholar ID (e.g., "649def34f8be52c8…
- `read_semantic_paper`: Read and extract text content from a Semantic Scholar paper. Args: paperid: Semantic Scholar paper ID, Paper identifier in one of the following formats: - Semantic Scholar ID (e.g.…
- `search_crossref`: Search academic papers from CrossRef database. CrossRef is a scholarly infrastructure organization that provides persistent identifiers (DOIs) for scholarly content and metadata.
- `get_crossref_paper_by_doi`: Get a specific paper from CrossRef by its DOI. Args: doi: Digital Object Identifier (e.g., '10.1038/nature12373').
- `download_crossref`: Attempt to download PDF of a CrossRef paper. Args: paperid: CrossRef DOI (e.g., '10.1038/nature12373'). savepath: Directory to save the PDF (default: './downloads').
- `read_crossref_paper`: Attempt to read and extract text content from a CrossRef paper. Args: paperid: CrossRef DOI (e.g., '10.1038/nature12373').

## FAQ

### Paper Search MCP 서버는 무엇인가요?

arXiv, PubMed 등에서 학술 논문을 검색하고 전문을 다운로드합니다. Smithery에 등록된 항목으로, ListeningMind.AI가 매주 고르는 엄선 목록에서 3위(점수 80)입니다.

### Paper Search MCP 서버는 어떻게 설치하나요?

터미널에서 npx -y @smithery/cli install adamamer20/paper-search-mcp-openai --client claude 를 실행하면 Claude Desktop에 연결됩니다. Cursor는 --client cursor 로 바꿉니다.

### API 키가 필요한가요?

원 제공처 등록 정보에 필수 설정값이 없습니다.

### 어떤 도구를 제공하나요?

25개입니다: search, fetch, search_arxiv, search_pubmed, search_biorxiv, search_medrxiv, search_google_scholar, search_iacr, download_arxiv, download_pubmed, download_biorxiv, download_medrxiv.

### 요금은 얼마인가요?

무료로 연결 · 원 제공처 요금 별도. 사용료는 원 제공처 기준으로 따로 붙을 수 있습니다.

### 믿고 써도 되나요?

통과한 점검: 공식 MCP 레지스트리 등록, 자체 홈페이지, 바로 연결되는 서버, 충분한 설명. 처음 쓰는 서버·저장소는 내용을 한번 확인한 뒤 연결하세요.