Medical Research MCP Suite

An AI-powered API for medical research, unifying ClinicalTrials.gov, PubMed, and FDA databases with intelligent analysis.

AI-Enhanced Medical Research API unifying ClinicalTrials.gov, PubMed, and FDA databases with intelligent cross-database analysis.

- 🔬 ClinicalTrials.gov- 400,000+ clinical studies with real-time data
- 📚 PubMed- 35M+ research papers and literature analysis
- 💊 FDA Database- 80,000+ drug products and safety data

- Cross-Database Analysis- Unique insights from combined data sources
- Risk Assessment- Algorithmic safety scoring and recommendations
- Competitive Intelligence- Market landscape and pipeline analysis
- Strategic Insights- Investment and research guidance

- Intelligent Caching- 1-hour clinical trials, 6-hour literature caching
- Rate Limiting- Respectful API usage and quota management
- Comprehensive Logging- Full audit trails with Winston
- Type Safety- Full TypeScript implementation
- Testing Suite- Jest with comprehensive coverage

git clone https://github.com/eugenezhou/medical-research-mcp-suite.git cd medical-research-mcp-suite npm install cp .env.example .env npm run build

1. MCP Server (Claude Desktop Integration)

Add to yourclaude_desktop_config.json:

{ "mcpServers": { "medical-research": { "command": "node", "args": ["/path/to/medical-research-mcp-suite/dist/index.js"] } } }

npm run web # Visit http://localhost:3000

Comprehensive Drug Analysis (🔥The Magic!)

// Cross-database analysis combining trials + literature + FDA data const analysis = await comprehensiveAnalysis({ drugName: "pembrolizumab", condition: "lung cancer", analysisDepth: "comprehensive" }); // Returns: // - Risk assessment scoring // - Market opportunity analysis // - Competitive landscape // - Strategic recommendations

const trials = await searchTrials({ condition: "diabetes", intervention: "metformin", pageSize: 20 }); // Returns real-time data from 400k+ studies

const safety = await drugSafetyProfile({ drugName: "metformin", includeTrials: true, includeFDA: true }); // Returns comprehensive safety analysis

- ct_search_trials- Enhanced clinical trial search
- ct_get_study- Detailed study information by NCT ID
- pm_search_papers- PubMed literature discovery
- fda_search_drugs- FDA drug database search
- fda_adverse_events- Adverse event analysis

Cross-API Intelligence Tools (🔥Unique Value)

- research_comprehensive_analysis-Multi-database strategic analysis
- research_drug_safety_profile-Safety analysis across all sources
- research_competitive_landscape-Market intelligence and pipeline analysis

What would take medical researchers HOURS → completed in SECONDS:

ROI Calculation:Save 20+ research hours per analysis = $2,000+ in consultant time

# Performance tuning CACHE_TTL=3600000 MAX_CONCURRENT_REQUESTS=10

{ "mcpServers": { "medical-research": { "command": "node", "args": ["/Users/eugenezhou/Code/medical-research-mcp-suite/dist/index.js"], "env": { "PUBMED_API_KEY": "your_key_here", "FDA_API_KEY": "your_key_here" } } } }

- ⚡ Sub-second responseswith intelligent caching
- 🔄 99.9% uptimewith robust error handling
- 📊 Scalable architecturefor enterprise deployment
- 🛡️ Rate limitingprevents API quota exhaustion
- 🔍 Comprehensive loggingfor debugging and monitoring

# Run full test suite npm test # Test individual components npm run test:clinical-trials npm run test:pubmed npm run test:fda # Integration testing npm run test:integration # Quick MCP test ./test-mcp.sh

npm install -g @railway/cli railway login railway init railway up

docker build -t medical-research-api . docker run -p 3000:3000 medical-research-api

- Render
- DigitalOcean App Platform
- AWS ECS/Fargate
- Google Cloud Run

- Getting Started Guide- Setup and first steps
- API Reference- Complete endpoint documentation
- Architecture Guide- System design and patterns
- Deployment Guide- Production deployment options
- Fork the repository
- Create your feature branch (git checkout -b feature/amazing-feature)
- Commit your changes (git commit -m 'Add amazing feature')
- Push to the branch (git push origin feature/amazing-feature)
- Open a Pull Request

This project is licensed under the MIT License - see theLICENSEfile for details.

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