Medical Research MCP Suite
by ezhou89
cloudflare-worker.ts•8.91 kB
// src/cloudflare-worker.ts - Cloudflare Worker entry point
import { MedicalResearchMCPServer } from './index.js';
interface CloudflareRequest extends Request {}
export class CloudflareMedicalResearchAPI {
private mcpServer: MedicalResearchMCPServer;
constructor() {
this.mcpServer = new MedicalResearchMCPServer();
}
async handleRequest(request: CloudflareRequest): Promise<Response> {
// CORS headers for web requests
const corsHeaders = {
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Methods': 'GET, POST, OPTIONS',
'Access-Control-Allow-Headers': 'Content-Type, Authorization',
'Content-Type': 'application/json',
};
// Handle CORS preflight
if (request.method === 'OPTIONS') {
return new Response(null, { headers: corsHeaders });
}
try {
const url = new URL(request.url);
const path = url.pathname;
// Route to appropriate handler
if (path === '/api/tools' && request.method === 'GET') {
return this.listTools(corsHeaders);
}
if (path === '/api/tools/call' && request.method === 'POST') {
const body = await request.json();
return this.callTool(body, corsHeaders);
}
// Health check endpoint
if (path === '/api/health') {
return new Response(JSON.stringify({
status: 'healthy',
timestamp: new Date().toISOString(),
version: '1.0.0'
}), { headers: corsHeaders });
}
// API documentation endpoint
if (path === '/api/docs' || path === '/') {
return this.getDocumentation(corsHeaders);
}
return new Response(JSON.stringify({
error: 'Not found'
}), {
status: 404,
headers: corsHeaders
});
} catch (error: any) {
return new Response(JSON.stringify({
error: error.message
}), {
status: 500,
headers: corsHeaders
});
}
}
private async listTools(headers: Record<string, string>): Promise<Response> {
const tools = [
{
name: "ct_search_trials",
description: "Search ClinicalTrials.gov for studies with AI-enhanced results",
parameters: {
condition: "Medical condition (e.g., 'diabetes', 'cancer')",
intervention: "Treatment or drug name",
pageSize: "Number of results (1-100)"
}
},
{
name: "pm_search_papers",
description: "Search PubMed for research papers with enhanced analysis",
parameters: {
query: "Search query (e.g., 'diabetes AND metformin')",
maxResults: "Number of results (1-100)"
}
},
{
name: "fda_search_drugs",
description: "Search FDA drug database with safety analysis",
parameters: {
drugName: "Drug name to search for"
}
},
{
name: "research_comprehensive_analysis",
description: "🔥 Comprehensive analysis combining clinical trials, literature, and safety data",
parameters: {
drugName: "Drug name to analyze",
condition: "Medical condition",
analysisDepth: "basic | detailed | comprehensive"
}
},
{
name: "research_drug_safety_profile",
description: "🔥 Complete drug safety analysis across clinical trials and FDA reports",
parameters: {
drugName: "Drug name to analyze",
timeframe: "Time period (1year, 2years, 5years)",
includeTrials: "Include clinical trial safety data",
includeFDA: "Include FDA adverse event data"
}
}
];
return new Response(JSON.stringify({ tools }), { headers });
}
private async callTool(body: any, headers: Record<string, string>): Promise<Response> {
const { tool, parameters } = body;
if (!tool) {
return new Response(JSON.stringify({
error: 'Missing tool name'
}), {
status: 400,
headers
});
}
try {
// Call the MCP server methods directly
let result;
if (tool.startsWith('ct_')) {
result = await this.mcpServer.handleClinicalTrialsCall(tool, parameters);
} else if (tool.startsWith('pm_')) {
result = await this.mcpServer.handlePubMedCall(tool, parameters);
} else if (tool.startsWith('fda_')) {
result = await this.mcpServer.handleFDACall(tool, parameters);
} else if (tool.startsWith('research_')) {
result = await this.mcpServer.handleCrossAPICall(tool, parameters);
} else {
throw new Error(`Unknown tool: ${tool}`);
}
return new Response(JSON.stringify(result), { headers });
} catch (error: any) {
return new Response(JSON.stringify({
error: error.message,
tool: tool
}), {
status: 500,
headers
});
}
}
private getDocumentation(headers: Record<string, string>): Response {
const html = `
<!DOCTYPE html>
<html>
<head>
<title>🏥 Medical Research API</title>
<style>
body { font-family: Arial, sans-serif; max-width: 800px; margin: 0 auto; padding: 20px; background: #f8f9fa; }
.header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 30px; border-radius: 10px; margin-bottom: 30px; }
.endpoint { background: white; padding: 20px; margin: 15px 0; border-radius: 8px; box-shadow: 0 2px 4px rgba(0,0,0,0.1); }
.method { background: #007acc; color: white; padding: 4px 12px; border-radius: 4px; font-size: 12px; font-weight: bold; }
.magic { background: linear-gradient(45deg, #ff6b6b, #feca57); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
pre { background: #f1f3f4; padding: 15px; border-radius: 6px; overflow-x: auto; font-size: 14px; }
.badge { background: #28a745; color: white; padding: 2px 8px; border-radius: 12px; font-size: 11px; }
</style>
</head>
<body>
<div class="header">
<h1>🏥 Medical Research API</h1>
<p>AI-enhanced medical research across clinical trials, literature, and FDA databases</p>
<div class="badge">Live & Production Ready</div>
</div>
<h2>🛠 Available Tools</h2>
<div class="endpoint">
<strong>🔬 Clinical Trials Search</strong><br>
<span class="method">POST</span> /api/tools/call<br>
<em>Search ClinicalTrials.gov database - 400,000+ studies</em>
</div>
<div class="endpoint">
<strong>📚 Literature Search</strong><br>
<span class="method">POST</span> /api/tools/call<br>
<em>Search PubMed research papers - 35M+ articles</em>
</div>
<div class="endpoint">
<strong>💊 FDA Drug Search</strong><br>
<span class="method">POST</span> /api/tools/call<br>
<em>Search FDA drug approval database</em>
</div>
<div class="endpoint">
<strong class="magic">🔥 Comprehensive Analysis</strong><br>
<span class="method">POST</span> /api/tools/call<br>
<em>Cross-database strategic analysis - THE MAGIC!</em>
</div>
<div class="endpoint">
<strong class="magic">🔥 Drug Safety Profile</strong><br>
<span class="method">POST</span> /api/tools/call<br>
<em>Multi-source safety analysis with risk scoring</em>
</div>
<h2>📋 Example Request</h2>
<pre><code>curl -X POST https://your-worker.your-subdomain.workers.dev/api/tools/call \\
-H "Content-Type: application/json" \\
-d '{
"tool": "research_comprehensive_analysis",
"parameters": {
"drugName": "metformin",
"condition": "diabetes",
"analysisDepth": "detailed"
}
}'</code></pre>
<h2>🚀 What Makes This Special</h2>
<ul>
<li><strong>Real-time data</strong> from multiple medical databases</li>
<li><strong>Cross-API analysis</strong> unavailable elsewhere</li>
<li><strong>AI-enhanced insights</strong> for strategic decision-making</li>
<li><strong>Enterprise-grade</strong> architecture that scales</li>
</ul>
<h2>⚡ Rate Limits</h2>
<p>100 requests per minute per IP address</p>
<h2>💼 Enterprise</h2>
<p>Contact us for custom deployment, higher rate limits, and white-label options.</p>
<footer style="margin-top: 40px; text-align: center; color: #666;">
<p>Built with ❤️ for the medical research community</p>
</footer>
</body>
</html>`;
return new Response(html, {
headers: {
...headers,
'Content-Type': 'text/html'
}
});
}
}
// Cloudflare Worker entry point
export default {
async fetch(request: Request, env: any, ctx: any): Promise<Response> {
const api = new CloudflareMedicalResearchAPI();
return api.handleRequest(request);
}
};
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