Week 16 Dev Log: From First Customer to 56 MCP Tools — Building an AI-Native Website Publisher

📰 Dev.to AI

Learn how to build an AI-native website publisher with MCP tools and a multi-API stack, and discover the architecture decisions behind WebsitePublisher.ai

advanced Published 13 Apr 2026
Action Steps
  1. Build a dual-server DigitalOcean cluster using Laravel/PHP backend and Redis Sentinel
  2. Configure MySQL and S3 for asset storage and management
  3. Implement a multi-API stack using PAPI and MAPI for pages and assets
  4. Test and deploy MCP tools for AI-assisted website building and publishing
  5. Apply DevOps principles to ensure scalability and reliability of the platform
Who Needs to Know This

Developers and engineers on a team building AI-powered web applications can benefit from understanding the technical decisions and architecture behind WebsitePublisher.ai, while product managers can learn from the customer acquisition and team collaboration strategies

Key Insight

💡 Using a multi-API stack and MCP tools can enable AI-assisted website building and publishing, while a dual-server cluster and Redis Sentinel can ensure scalability and reliability

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🚀 Building an AI-native website publisher with MCP tools and a multi-API stack! 💻
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