MCP Client for Browser Automation of AI's Web UI
How the System Works The enhanced MCP system follows this workflow:
Diagram Code graph TD A[User Request] --> B(Groq Strategy Engine) B --> C[Content Creation] C --> D[Media Generation] D --> E[Content Assembly] E --> F[Google Drive Storage] F --> G[Multi-Platform Distribution] G --> H[Analytics & Optimization] Strategy Creation: Groq AI develops viral content strategy
Content Generation: Claude/Gemini create scripts
Media Production:
RunwayML for video
ElevenLabs for audio
Stable Diffusion for images
Assembly: Canva compiles all elements
Storage: Google Drive archiving
Distribution: Automated posting to all platforms
Optimization: Analytics feedback loop
Deployment Options Option 1: Render Backend Deployment (Recommended) Pros:
Fully managed service
Persistent storage
Easy scaling
Free tier available Frontend: Static React app (if needed)
Backend: Node.js on Render
Storage: Google Drive + MongoDB
Monitoring: Sentry + Logtail
To add new services:
Create service module in services/
Implement required methods
Add to serviceRegistry
Add credentials to environment variables
Test with headless: false mode
Deploy through GitHub
This architecture gives you:
100% free tier capability (Render free + Google Drive)
Complete content automation pipeline
Easy extensibility for new services
Ethical content generation safeguards
Viral optimization psychology engine.