Customer support is changing fast—and if you want real-time, accurate answers driven by your own data, Laravel MCP (Model Context Protocol) is the tool to look at. In my latest tutorial, I walk through how to build a customer support system that:
- Understands natural-language questions from users
- Safely converts them into database queries
- Provides live answers from customer / product data
- Builds a secure interface with Laravel 12 & PHP 8.3
I also cover crucial parts like schema design, security against SQL injection, and optimizing the whole system.
If you’re a Laravel dev curious about adding AI-driven Q&A features to your app, this one’s for you. For all the code examples, setup steps, and best practices, read more here:
👉 Building Intelligent Customer Support with Laravel MCP: AI-Powered Database QA
Would love your thoughts: What kind of natural language queries do you struggle with in your apps—or what would you want this system to handle?
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