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MCP-Web-UI-Client

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.

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