# Paper Search MCPサーバー

> arXivやPubMedなどの主要リポジトリから学術論文を検索し取得します。

- 価格: 無料で接続 · 提供元の料金は別
- URL: https://daas.listeningmind.ai/ja/catalog/mcps/x-mcp-adamamer20-paper-search-mcp-openai
- 出典: Smithery https://smithery.ai/server/adamamer20/paper-search-mcp-openai
- 今週の順位: #3 (score 80)

## 導入

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

## ツール (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サーバーとは何ですか？

arXivやPubMedなどの主要リポジトリから学術論文を検索し取得します。Smitheryに登録された項目で、ListeningMind.AIが毎週選ぶ厳選リストで3位（スコア80）です。

### Paper Search MCPサーバーはどう導入しますか？

ターミナルで npx -y @smithery/cli install adamamer20/paper-search-mcp-openai --client claude を実行するとClaude Desktopに接続されます。Cursorは --client cursor にします。

### APIキーは必要ですか？

提供元の登録情報に必須の設定値はありません。

### どんなツールがありますか？

25個です：search, fetch, search_arxiv, search_pubmed, search_biorxiv, search_medrxiv, search_google_scholar, search_iacr, download_arxiv, download_pubmed, download_biorxiv, download_medrxiv。

### 料金はいくらですか？

無料で接続 · 提供元の料金は別。 利用料は提供元の基準で別途かかる場合があります。

### 信頼して使えますか？

通過したチェック：公式MCPレジストリに登録, 自前のホームページ, すぐ接続できるサーバー, 十分な説明。初めて使うサーバーやリポジトリは中身を確認してから接続してください。