Model Context Protocol
Remote Platform

Enterprise-grade MCP infrastructure hosted on Cloudflare Edge. Connect your AI applications to powerful remote capabilities.

99.9%
Uptime
114ms
Avg Latency
1.2M
Requests/Day
200+
Edge Locations

Platform Features

Cloudflare Integration

Deploy Workers, manage DNS, purge cache, and control your edge infrastructure.

  • • Worker deployment
  • • DNS management
  • • Cache control
  • • SSL/TLS configuration

Browser Automation

Headless browser control with Puppeteer for web scraping and testing.

  • • Screenshot capture
  • • PDF generation
  • • Content extraction
  • • Form automation

File Management

Secure file operations with R2 storage and KV namespace support.

  • • Upload/Download
  • • Directory listing
  • • Search capabilities
  • • Version control

Analytics & Metrics

Real-time analytics with D1 database and custom dashboards.

  • • Performance metrics
  • • Custom dashboards
  • • Event tracking
  • • Usage reports

Enterprise Security

Bank-grade security with JWT tokens and API key authentication.

  • • JWT + API Keys
  • • Rate limiting
  • • CORS protection
  • • DDoS mitigation

AI Agent Support

Native integration with AI agents and swarm coordination.

  • • Agent orchestration
  • • Task management
  • • Swarm topology
  • • BMAD Factory ready

Live API Demo

Request

const response = await fetch('https://mcp.tfantas.io/health');
const data = await response.json();
console.log(data);

Response

{
  "status": "healthy",
  "timestamp": "2025-01-15T05:00:00.000Z",
  "version": "1.0.3",
  "platform": "AIx MCP Remote Platform"
}
Live connection

Quick Start

1. Install SDK

npm install @aix/mcp-client

2. Initialize Client

import MCPClient from '@aix/mcp-client';

const mcp = new MCPClient({
  baseUrl: 'https://mcp.tfantas.io',
  apiKey: 'your-api-key'
});

3. Use MCP Features

// Deploy a Worker
await mcp.cloudflare.deployWorker(config);

// Automate browser
const session = await mcp.browser.createSession();
await mcp.browser.navigate(session.id, 'https://example.com');

// Track analytics
await mcp.analytics.trackEvent({ event: 'user_action' });