A Model Context Protocol (MCP) server that provides comprehensive medical information by querying multiple authoritative medical APIs including FDA, WHO, PubMed, and RxNorm.

This MCP server offers five specialized tools for querying medical information from reliable sources:

Search for drug information using the FDA database.

Input:

• query (string): Drug name to search for (brand name or generic name)
• limit (optional, number): Number of results to return (1-50, default: 10)

Output:

• Drug information including brand name, generic name, manufacturer, route, dosage form, and purpose

Example:

Drug Search Results for "Advil"

Found 1 drug(s)

1. **ADVIL**
   Generic Name: IBUPROFEN
   Manufacturer: PFIZER CONSUMER HEALTHCARE
   Route: ORAL
   Dosage Form: TABLET
   Purpose: For temporary relief of minor aches and pains...
   Last Updated: 20210902

Get detailed information about a specific drug by NDC (National Drug Code).

Input:

• ndc (string): National Drug Code (NDC) of the drug

Output:

• Comprehensive drug information including warnings, drug interactions, and clinical pharmacology

Get health statistics and indicators from WHO Global Health Observatory.

Input:

• indicator (string): Health indicator to search for (e.g., 'Life expectancy', 'Mortality rate')
• country (optional, string): Country code (e.g., 'USA', 'GBR')
• limit (optional, number): Number of results to return (1-20, default: 10)

Output:

• Health statistics with values, ranges, and temporal data

Example:

Health Statistics: Life expectancy at birth (years)

Country: USA
Found 10 data points

1. **USA** (2019)
   Value: 78.5 years
   Numeric Value: 78.5
   Date: 2019-12-31

Search for medical research articles in PubMed.

Input:

• query (string): Medical topic or condition to search for
• max_results (optional, number): Maximum number of articles to return (1-20, default: 10)

Output:

• Medical research articles with titles, PMIDs, journals, and publication dates

Example:

Medical Literature Search: "diabetes treatment"

Found 10 article(s)

1. **Novel Approaches to Diabetes Management**
   PMID: 12345678
   Journal: New England Journal of Medicine
   Publication Date: 2024-01-15

Search for academic research articles using Google Scholar.

Input:

• query (string): Academic topic or research query to search for

Output:

• Academic research articles with titles, authors, abstracts, journals, years, citations, and URLs

Example:

Google Scholar Search: "machine learning healthcare"

Found 10 article(s)

1. **Machine Learning in Healthcare: A Systematic Review**
   Authors: Smith J, Johnson A - Journal of Medical AI
   Year: 2023
   Citations: Cited by 45
   URL: https://scholar.google.com/...
   Abstract: This systematic review examines the application of machine learning...

Note: This tool uses web scraping to access Google Scholar since it doesn't provide a public API. It includes rate limiting protection and stealth measures to avoid detection.

Search for drug information using RxNorm (standardized drug nomenclature).

Input:

• query (string): Drug name to search for in RxNorm database

Output:

• Standardized drug information with RxCUI codes, synonyms, and term types

1. Clone this repository:

git clone <repository-url>
cd medical-mcp

2. Install dependencies:

npm install

3. Build the project:

npm run build

Start the MCP server:

npm start

The server runs on stdio and can be connected to any MCP-compatible client.

Here are some example queries you can make with this MCP server:

{
  "tool": "search-drugs",
  "arguments": {
    "query": "Tylenol",
    "limit": 5
  }
}

{
  "tool": "get-drug-details",
  "arguments": {
    "ndc": "00071015527"
  }
}

{
  "tool": "get-health-statistics",
  "arguments": {
    "indicator": "Life expectancy at birth (years)",
    "country": "USA",
    "limit": 5
  }
}

{
  "tool": "search-medical-literature",
  "arguments": {
    "query": "COVID-19 treatment",
    "max_results": 10
  }
}

{
  "tool": "search-drug-nomenclature",
  "arguments": {
    "query": "aspirin"
  }
}

This MCP server integrates with the following medical APIs:

• GET /drug/label.json - Drug labeling information
• Search by brand name, generic name, or NDC
• Provides safety information, warnings, and clinical data

• GET /api/Indicator - Health statistics and indicators
• Global health data with country-specific information
• Temporal data for trend analysis

• GET /esearch.fcgi - Search for medical articles
• GET /efetch.fcgi - Retrieve article details
• Access to millions of medical research papers

• GET /REST/drugs.json - Standardized drug nomenclature
• Drug name standardization and relationships
• Clinical drug information

• Web scraping of Google Scholar search results
• Academic research article discovery
• Citation and publication information
• Note: Uses Puppeteer for browser automation with anti-detection measures

• Source: Official FDA drug labeling database
• Coverage: All FDA-approved drugs in the United States
• Data: Drug safety, efficacy, dosage, warnings, and interactions
• Update Frequency: Real-time as drugs are approved or labeling changes

• Source: Global Health Observatory database
• Coverage: Global health statistics from 194 countries
• Data: Life expectancy, mortality rates, disease prevalence, and health indicators
• Update Frequency: Annual updates with historical data

• Source: MEDLINE database of medical literature
• Coverage: Over 30 million citations from medical journals
• Data: Research articles, clinical studies, and medical reviews
• Update Frequency: Daily updates as new articles are published

• Source: Standardized drug nomenclature system
• Coverage: Clinical drugs available in the United States
• Data: Drug names, codes, relationships, and clinical information
• Update Frequency: Weekly updates

• Source: Google Scholar academic search engine
• Coverage: Academic papers, theses, books, and abstracts across all disciplines
• Data: Research articles, citations, authors, journals, and publication dates
• Update Frequency: Real-time as new papers are indexed
• Note: Access via web scraping with rate limiting protection

The server includes comprehensive error handling:

• Network errors are caught and reported with descriptive messages
• Invalid queries return appropriate error messages
• Rate limiting and API errors are handled gracefully
• Fallback responses when specific APIs are unavailable

The Google Scholar integration uses Puppeteer for web scraping with the following features:

• Stealth Mode: Browser launched with multiple flags to avoid detection
• User Agent Spoofing: Realistic browser user agent strings
• Random Delays: Built-in delays between requests to avoid rate limiting
• Header Spoofing: Realistic HTTP headers to appear as a regular browser
• Viewport Settings: Standard desktop viewport dimensions

• Multiple Selectors: Uses various CSS selectors to handle different Google Scholar layouts
• Fallback Strategies: Multiple parsing approaches for different page structures
• Error Recovery: Graceful handling of missing elements or changed page structures
• Data Validation: Filters out incomplete or invalid results

• Random Delays: 1-3 second random delays between requests
• Browser Management: Proper browser cleanup to prevent resource leaks
• Timeout Handling: Configurable timeouts for network requests
• Error Recovery: Automatic retry logic for failed requests

Important: This MCP server provides information from authoritative medical sources but should not be used as a substitute for professional medical advice, diagnosis, or treatment. Always consult with qualified healthcare professionals for medical decisions.

• The information provided is for educational and informational purposes only
• Drug information may not be complete or up-to-date for all medications
• Health statistics are aggregated data and may not reflect individual circumstances
• Medical literature should be interpreted by qualified healthcare professionals

• @modelcontextprotocol/sdk - MCP SDK for server implementation
• superagent - HTTP client for API requests
• puppeteer - Browser automation for web scraping Google Scholar
• zod - Schema validation for tool parameters

This project is licensed under the MIT License - see the LICENSE.md file for details.