Paper Search Mcp Nodejs

Paper Search MCP (Node.js)

English|[中文](README-sc.md)

A Node.js Model Context Protocol (MCP) server for searching and downloading academic papers from multiple sources, including arXiv, Web of Science, PubMed, Google Scholar, Sci-Hub, ScienceDirect, Springer, Wiley, Scopus, Crossref, and 14 academic platforms in total.

✨ Key Features

• 🌍 14 Academic Platforms: arXiv, Web of Science, PubMed, Google Scholar, bioRxiv, medRxiv, Semantic Scholar, IACR ePrint, Sci-Hub, ScienceDirect, Springer Nature, Wiley, Scopus, Crossref
• 🔗 MCP Protocol Integration: Seamless integration with Claude Desktop and other AI assistants
• 📊 Unified Data Model: Standardized paper format across all platforms
• ⚡ High-Performance Search: Concurrent search with intelligent rate limiting
• 🛡️ Security First: DOI validation, query sanitization, injection prevention, sensitive data masking
• 📝 Type Safety: Complete TypeScript support with extended interfaces
• 🎯 Academic Papers First: Smart filtering prioritizing academic papers over books
• 🔄 Smart Error Handling: Unified ErrorHandler with retry logic and platform fallback

📚 Supported Platforms

| Platform | Search | Download | Full Text | Citations | API Key | Special Features | |----------|--------|----------|-----------|-----------|---------|------------------| | Crossref | ✅ | ❌ | ❌ | ✅ | ❌ | Default search, extensive metadata coverage | | arXiv | ✅ | ✅ | ✅ | ❌ | ❌ | Physics/CS preprints | | Web of Science | ✅ | ❌ | ❌ | ✅ | ✅ Required | Multi-topic search, date sorting, year ranges | | PubMed | ✅ | ❌ | ❌ | ❌ | 🟡 Optional | Biomedical literature | | Google Scholar | ✅ | ❌ | ❌ | ✅ | ❌ | Comprehensive academic search | | bioRxiv | ✅ | ✅ | ✅ | ❌ | ❌ | Biology preprints | | medRxiv | ✅ | ✅ | ✅ | ❌ | ❌ | Medical preprints | | Semantic Scholar | ✅ | ✅ | ❌ | ✅ | 🟡 Optional | AI semantic search | | IACR ePrint | ✅ | ✅ | ✅ | ❌ | ❌ | Cryptography papers | | Sci-Hub | ✅ | ✅ | ❌ | ❌ | ❌ | Universal paper access via DOI | | ScienceDirect | ✅ | ❌ | ❌ | ✅ | ✅ Required | Elsevier's full-text database | | Springer Nature | ✅ | ✅* | ❌ | ❌ | ✅ Required | Dual API: Meta v2 & OpenAccess | | Wiley | ❌ | ✅ | ✅ | ❌ | ✅ Required | TDM API: DOI-based PDF download only | | Scopus | ✅ | ❌ | ❌ | ✅ | ✅ Required | Largest citation database |

✅ Supported | ❌ Not supported | 🟡 Optional | ✅* Open Access only

> Note: Wiley TDM API does not support keyword search. Use search_crossref to find Wiley articles, then use download_paper with platform="wiley" to download PDFs by DOI.

⚖️ Compliance & Ethical Use (Sci-Hub / Google Scholar)

This project includes integrations that may have legal, contractual (ToS), and ethical constraints. You are responsible for ensuring your usage complies with applicable laws, institutional policies, and third‑party terms.

• Sci-Hub: May provide access to copyrighted works without authorization in many jurisdictions. Use only when you have the legal right to access the content (e.g., open access, author‑provided copies, or licensed institutional access).
• Google Scholar: This integration relies on automated fetching/parsing and may violate Google's Terms of Service or trigger blocking/rate limits. Prefer official APIs or metadata sources (e.g., Crossref, Semantic Scholar) when ToS compliance is required.

🚀 Quick Start

System Requirements

• Node.js >= 18.0.0
• npm or yarn

Installation

# Clone repository
git clone https://github.com/your-username/paper-search-mcp-nodejs.git
cd paper-search-mcp-nodejs

# Install dependencies
npm install

# Copy environment template
cp .env.example .env

Configuration

1. Get Web of Science API Key

• Visit Clarivate Developer Portal
• Register and apply for Web of Science API access
• Add API key to .env file

1. Get PubMed API Key (Optional)

• Without API key: Free usage, 3 requests/second limit
• With API key: 10 requests/second, more stable service
• Get key: See NCBI API Keys

1. Configure Environment Variables

```bash # Edit .env file WOSAPIKEY=youractualapikeyhere WOSAPIVERSION=v1

# PubMed API key (optional, recommended for better performance) PUBMEDAPIKEY=yourncbiapikeyhere

# Semantic Scholar API key (optional, increases rate limits) SEMANTICSCHOLARAPIKEY=yoursemanticscholarapi_key

# Elsevier API key (required for ScienceDirect and Scopus) ELSEVIERAPIKEY=yourelsevierapi_key

# Springer Nature API keys (required for Springer) SPRINGERAPIKEY=yourspringerapikey # For Metadata API v2 # Optional: Separate key for OpenAccess API (if different from main key) SPRINGEROPENACCESSAPIKEY=youropenaccessapi_key

# Wiley TDM token (required for Wiley) WILEYTDMTOKEN=yourwileytdm_token ```

Build and Run

Method 1: NPX (Recommended for MCP)

# Direct run with npx (most common MCP deployment)
npx -y paper-search-mcp-nodejs

# Or install globally
npm install -g paper-search-mcp-nodejs
paper-search-mcp

Method 2: Local Development

# Build TypeScript code
npm run build

# Start server
npm start

# Or run in development mode
npm run dev

MCP Server Configuration

Add the following configuration to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

NPX Configuration (Recommended)

{
  "mcpServers": {
    "paper-search-nodejs": {
      "command": "npx",
      "args": ["-y", "paper-search-mcp-nodejs"],
      "env": {
        "WOS_API_KEY": "your_web_of_science_api_key"
      }
    }
  }
}

Local Installation Configuration

{
  "mcpServers": {
    "paper_search_nodejs": {
      "command": "node",
      "args": ["/path/to/paper-search-mcp-nodejs/dist/server.js"],
      "env": {
        "WOS_API_KEY": "your_web_of_science_api_key"
      }
    }
  }
}

🛠️ MCP Tools

search_papers

Search academic papers across multiple platforms

// Random platform selection (default behavior)
search_papers({
  query: "machine learning",
  platform: "all",      // Randomly selects one platform for efficiency
  maxResults: 10,
  year: "2023",
  sortBy: "date"
})

// Search specific platform
search_papers({
  query: "quantum computing",
  platform: "webofscience",  // Target specific platform
  maxResults: 5
})

Platform Selection Behavior:

• platform: "crossref" (default) - Free API with extensive scholarly metadata coverage
• platform: "all" - Randomly selects one platform for efficient, focused results
• Specific platform - Searches only that platform
• Available platforms: crossref, arxiv, webofscience/wos, pubmed, biorxiv, medrxiv, semantic, iacr, googlescholar/scholar, scihub, sciencedirect, springer, scopus
• Note: wiley only supports PDF download by DOI, not keyword search

search_crossref

Search academic papers from Crossref database (default search platform)

search_crossref({
  query: "machine learning",
  maxResults: 10,
  year: "2023",
  author: "Smith",
  sortBy: "relevance",  // or "date", "citations"
  sortOrder: "desc"
})

search_arxiv

Search arXiv preprints specifically

search_arxiv({
  query: "transformer neural networks",
  maxResults: 10,
  category: "cs.AI",
  author: "Vaswani",
  year: "2023",
  sortBy: "date",      // relevance, date, citations
  sortOrder: "desc"    // asc, desc
})

search_webofscience

Search Web of Science database specifically

search_webofscience({
  query: "CRISPR gene editing",
  maxResults: 15,
  year: "2022",
  journal: "Nature"
})

search_pubmed

Search PubMed/MEDLINE biomedical literature database

search_pubmed({
  query: "COVID-19 vaccine efficacy",
  maxResults: 20,
  year: "2023",
  author: "Smith",
  journal: "New England Journal of Medicine",
  publicationType: ["Journal Article", "Clinical Trial"],
  sortBy: "date"       // relevance, date
})

search_google_scholar

Search Google Scholar academic database

search_google_scholar({
  query: "machine learning",
  maxResults: 10,
  yearLow: 2020,
  yearHigh: 2023,
  author: "Bengio"
})

search_biorxiv / search_medrxiv

Search biology and medical preprints

search_biorxiv({
  query: "CRISPR",
  maxResults: 15,
  days: 30,
  category: "genomics"  // neuroscience, genomics, etc.
})

search_medrxiv({
  query: "COVID-19",
  maxResults: 10,
  days: 30,
  category: "infectious_diseases"
})

search_semantic_scholar

Search Semantic Scholar AI semantic database

search_semantic_scholar({
  query: "deep learning",
  maxResults: 10,
  fieldsOfStudy: ["Computer Science"],
  year: "2023"
})

search_iacr

Search IACR ePrint cryptography archive

search_iacr({
  query: "zero knowledge proof",
  maxResults: 5,
  fetchDetails: true
})

search_scihub

Search and download papers from Sci-Hub using DOI or paper URL

search_scihub({
  doiOrUrl: "10.1038/nature12373",
  downloadPdf: true,
  savePath: "./downloads"
})

search_sciencedirect

Search Elsevier ScienceDirect database

search_sciencedirect({
  query: "artificial intelligence",
  maxResults: 10,
  year: "2023",
  author: "Smith",
  openAccess: true  // Filter for open access articles
})

search_springer

Search Springer Nature database (Metadata API v2 or OpenAccess API)

search_springer({
  query: "machine learning",
  maxResults: 10,
  year: "2023",
  openAccess: true,  // Use OpenAccess API for downloadable PDFs
  type: "Journal"    // Filter: Journal, Book, or Chapter
})

search_scopus

Search Scopus citation database

search_scopus({
  query: "renewable energy",
  maxResults: 10,
  year: "2023",
  affiliation: "MIT",
  documentType: "ar"  // ar=article, cp=conference, re=review
})

check_scihub_mirrors

Check health status of Sci-Hub mirror sites

check_scihub_mirrors({
  forceCheck: true  // Force fresh health check
})

download_paper

Download paper PDF files

download_paper({
  paperId: "2106.12345",  // or DOI for Sci-Hub
  platform: "arxiv",      // or "scihub" for Sci-Hub downloads
  savePath: "./downloads"
})

get_paper_by_doi

Get paper information by DOI

get_paper_by_doi({
  doi: "10.1038/s41586-023-12345-6",
  platform: "all"
})

get_platform_status

Check platform status and API keys

get_platform_status({})

📊 Data Model

All platform paper data is converted to a unified format:

interface Paper {
  paperId: string;           // Unique identifier
  title: string;            // Paper title
  authors: string[];        // Author list
  abstract: string;         // Abstract
  doi: string;             // DOI
  publishedDate: Date;     // Publication date
  pdfUrl: string;          // PDF link
  url: string;             // Paper page URL
  source: string;          // Source platform
  citationCount?: number;   // Citation count
  journal?: string;         // Journal name
  year?: number;           // Publication year
  categories?: string[];    // Subject categories
  keywords?: string[];      // Keywords
  // ... more fields
}

🔧 Development

Project Structure

src/
├── models/
│   └── Paper.ts              # Paper data model
├── platforms/
│   ├── PaperSource.ts        # Abstract base class
│   ├── ArxivSearcher.ts      # arXiv searcher
│   ├── WebOfScienceSearcher.ts # Web of Science searcher
│   ├── PubMedSearcher.ts     # PubMed searcher
│   ├── GoogleScholarSearcher.ts # Google Scholar searcher
│   ├── BioRxivSearcher.ts    # bioRxiv/medRxiv searcher
│   ├── SemanticScholarSearcher.ts # Semantic Scholar searcher
│   ├── IACRSearcher.ts       # IACR ePrint searcher
│   ├── SciHubSearcher.ts     # Sci-Hub searcher with mirror management
│   ├── ScienceDirectSearcher.ts # ScienceDirect (Elsevier) searcher
│   ├── SpringerSearcher.ts   # Springer Nature searcher (Meta v2 & OpenAccess APIs)
│   ├── WileySearcher.ts      # Wiley TDM API (DOI-based PDF download only)
│   ├── ScopusSearcher.ts     # Scopus citation database searcher
│   └── CrossrefSearcher.ts   # Crossref API searcher (default platform)
├── utils/
│   └── RateLimiter.ts        # Token bucket rate limiter
└── server.ts                 # MCP server main file

Adding New Platforms

1. Create new searcher class extending PaperSource
2. Implement required abstract methods
3. Register new searcher in server.ts
4. Add corresponding MCP tool

Security Features (v0.2.6)

The codebase includes comprehensive security and optimization utilities:

src/utils/
├── SecurityUtils.ts      # Security utilities
│   ├── sanitizeDoi()     # DOI format validation
│   ├── escapeQueryValue() # Query injection prevention
│   ├── validateQueryComplexity() # DoS prevention
│   ├── withTimeout()     # Request timeout protection
│   ├── sanitizeRequest() # Sensitive data removal
│   └── maskSensitiveData() # API key masking
├── ErrorHandler.ts       # Unified error handling
│   ├── ApiError class    # Custom error with metadata
│   ├── HTTP error codes  # 400-504 handling
│   └── Retry logic       # Exponential backoff
├── RateLimiter.ts        # Token bucket rate limiting
├── QuotaManager.ts       # Daily quota tracking (New in v0.2.6)
├── RequestCache.ts       # LRU caching for requests (New in v0.2.6)
└── PDFExtractor.ts       # PDF text extraction (New in v0.2.6)

src/services/
└── CitationService.ts    # Citation fetching service (New in v0.2.6)

Security Best Practices:

• All DOIs are validated before use in URLs
• Query parameters are escaped to prevent injection
• API keys are masked in all log output
• Request timeouts prevent hanging connections
• Query complexity limits prevent DoS attacks
• Rate limiting and quota management prevent API abuse
• Caching reduces external API calls

Testing

The test suite has been reorganized for better maintainability (v0.2.6):

# Run tests
npm test

# Run linting
npm run lint

# Code formatting
npm run format

Test Coverage:

• 19 test suites, 158 test cases
• All 13 platform searchers tested
• Security utilities (DOI validation, query sanitization)
• ErrorHandler (error classification, retry logic)
• New Tests: Rate limiting integration, QuotaManager, RequestCache

| Test Suite | Coverage | |------------|----------| | Platform Searchers | 13/13 ✅ | | SecurityUtils | ✅ | | ErrorHandler | ✅ | | RateLimiter & Integration | ✅ | | QuotaManager | ✅ | | RequestCache | ✅ |

🌟 Platform-Specific Features

Springer Nature Dual API System

Springer Nature provides two APIs:

1. Metadata API v2 (Main API)

• Endpoint: https://api.springernature.com/meta/v2/json
• Searches all Springer content (subscription + open access)
• Requires API key from https://dev.springernature.com/

1. OpenAccess API (Optional)

• Endpoint: https://api.springernature.com/openaccess/json
• Only searches open access content
• May require separate API key or special permissions
• Better for finding downloadable PDFs

// Search all Springer content
search_springer({
  query: "machine learning",
  maxResults: 10
})

// Search only open access papers
search_springer({
  query: "COVID-19",
  openAccess: true,  // Uses OpenAccess API if available
  maxResults: 5
})

Web of Science Advanced Search

🎯 WoS Starter API v1/v2 Support: Uses Clarivate's WoS Starter API with full field tag support

…

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Dianel555
• Source: Dianel555/paper-search-mcp-nodejs
• License: MIT

Install and usage instructions live in the source repository linked above.