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
Action Steps
- Build a dual-server DigitalOcean cluster using Laravel/PHP backend and Redis Sentinel
- Configure MySQL and S3 for asset storage and management
- Implement a multi-API stack using PAPI and MAPI for pages and assets
- Test and deploy MCP tools for AI-assisted website building and publishing
- 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
Share This
🚀 Building an AI-native website publisher with MCP tools and a multi-API stack! 💻
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