Enhanced PubMed MCP Server

🔬 No Python Required - Pure Node.js implementation of PubMed search MCP server

Features

• ✅ No Python Dependencies - Pure Node.js implementation
• 🔬 Enhanced PubMed Search - Complete abstracts, MeSH terms, keywords
• 📖 PMC Full-Text Search - Search within open access articles
• 💾 Search History - SQLite database for persistent storage
• 🔓 Open Access Detection - Identify freely available articles
• 🌐 Cross-Platform - Works on Windows, macOS, and Linux

Available Tools

• search_pubmed(query, max_results) - Enhanced PubMed search
• get_full_abstract(pmid) - Complete abstract retrieval
• search_pmc_fulltext(query, max_results) - PMC full-text search
• retrieve_pubmed_results(search_id, page) - Paginated results
• list_pubmed_searches() - Search history

Search Examples

// Basic search
search_pubmed("COVID-19 vaccine", 10)

// Field-specific search
search_pubmed("CRISPR[Title]", 5)

// Date range search
search_pubmed("cancer therapy AND 2023[Date - Publication]", 15)

// Full-text search in open access articles
search_pmc_fulltext("machine learning medical imaging", 20)

// Get complete abstract
get_full_abstract("35504917")

License

MIT

Repository

https://github.com/yourusername/enhanced-pubmed-mcp-server

Quick Start

# Claude Desktop Configuration
{
  "mcpServers": {
    "pubmed": {
      "command": "npx",
      "args": ["-y", "enhanced-pubmed-mcp-server"]
    }
  }
}

Usage

Command Line

# Direct execution (no installation needed)
npx enhanced-pubmed-mcp-server

# Help and version info
npx enhanced-pubmed-mcp-server --help
npx enhanced-pubmed-mcp-server --version

Claude Desktop Integration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "pubmed": {
      "command": "npx",
      "args": ["-y", "enhanced-pubmed-mcp-server"]
    }
  }
}

Configuration file locations:

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

Requirements

• Node.js 14.0.0 or higher
• Internet connection for PubMed API access