Clinical Trials MCP Server

MCP server for querying clinical trials from ClinicalTrials.gov API v2. Provides intelligent search with defaults optimized for finding relevant, currently recruiting trials.

功能特性 Features

• 🔍 Smart Search: Keywords, disease type, location-based search
• 📍 Geographic: Search by country, city, or coordinates
• ⏰ Time Filters: Default to past 3 months (recruiting trials)
• 📊 Detailed Info: Complete trial details including PI, contacts, eligibility
• 🌐 Bilingual: Supports Chinese and English queries

Quick Start with npx

No installation required! Run directly:

npx clinical-trials-mcp

MCP Client Configuration

Add to your MCP client settings:

Using npx (Recommended)

{
  "mcpServers": {
    "clinical-trials": {
      "command": "npx",
      "args": ["-y", "clinical-trials-mcp"]
    }
  }
}

Using local installation

npm install -g clinical-trials-mcp

{
  "mcpServers": {
    "clinical-trials": {
      "command": "clinical-trials-mcp"
    }
  }
}

Available Tools

1. search_clinical_trials

Search for clinical trials with intelligent defaults.

Default Behavior:

• Status: RECRUITING (currently recruiting)
• Time: Past 3 months (trials more likely to be open)
• Results: 30 most relevant trials, sorted by recent updates

Parameters:

• keywords (string): Keywords like "KRAS G12D", "PD-1", "Pembrolizumab"
• condition (string): Disease/condition like "Pancreatic Cancer", "肠癌"
• country (string): Country name like "China", "United States", "中国"
• city (string): City name like "Beijing", "上海", "New York"
• months (number): Time range in months (default: 3)
• status (string): Recruitment status (default: "RECRUITING")
• pageSize (number): Results per page (default: 30, max: 100)
• pageToken (string): Pagination token

Example:

{
  "keywords": "KRAS G12D",
  "condition": "Pancreatic Cancer",
  "country": "China"
}

2. get_trial_details

Get comprehensive trial details including:

• Principal Investigators (PI) information
• Hospital locations by city
• Contact details (phone, email)
• Detailed study description
• Eligibility criteria (inclusion/exclusion)
• Primary/secondary outcomes

Parameters:

• nctId (string, required): NCT number like "NCT04852770"

Example:

{
  "nctId": "NCT04852770"
}

3. search_by_location

Search trials by geographic coordinates.

Parameters:

• latitude (number, required): Latitude
• longitude (number, required): Longitude
• radius (number): Search radius in miles (default: 50)
• condition (string): Disease/condition (optional)
• keywords (string): Keywords (optional)
• status (string): Recruitment status (default: "RECRUITING")
• months (number): Time range (default: 3)
• pageSize (number): Results per page (default: 30)

Example:

{
  "latitude": 39.9042,
  "longitude": 116.4074,
  "radius": 50,
  "condition": "Lung Cancer"
}

Output Format

All responses are in JSON format, optimized for LLM processing.

Search Results

{
  "totalCount": 13,
  "count": 13,
  "studies": [
    {
      "nctId": "NCT06218914",
      "title": "Phase 1 Study to Investigate TCRTs KRAS Mutation...",
      "status": "RECRUITING",
      "conditions": ["Pancreatic Cancer", "KRAS G12D"],
      "interventions": [{"type": "Drug", "name": "NT-112"}],
      "sponsor": "AstraZeneca",
      "studyType": "INTERVENTIONAL",
      "phase": ["PHASE1"],
      "lastUpdate": "2024-10-15"
    }
  ]
}

Trial Details

Includes all search fields plus:

• investigators[] - PI and research team
• overallOfficials[] - Study officials
• centralContacts[] - Global contact info (phone, email)
• locations[] - All hospital sites with local contacts
• locationsSummary - Statistics (countries, cities, total sites)
• eligibility - Detailed inclusion/exclusion criteria
• primaryOutcomes[], secondaryOutcomes[] - Study endpoints
• briefSummary, detailedDescription - Full study description

API Reference

• ClinicalTrials.gov API Documentation
• Complex Query Construction
• Search Areas

Development

# Clone repository
git clone https://github.com/yourusername/clinical-trials-mcp.git
cd clinical-trials-mcp

# Install dependencies
npm install

# Run tests
npm test

# Start server
npm start

Publishing to npm

# Login to npm
npm login

# Publish package
npm publish

License

MIT

Contributing

Contributions welcome! Please open an issue or submit a pull request.