Howo to Develop Laravel Boost 13.x
Boost is a powerful MCP (Model Context Protocol) server designed to supercharge AI-assisted Laravel development. Equipped with more than 15 specialized tools, Boost enables AI agents to deeply analyze and understand your application's internal structure — including databases, routes, models, controllers, configurations, and business logic.
Instead of relying on generic code suggestions, Boost gives your AI assistant real contextual awareness of your Laravel project. This allows the AI to provide smarter recommendations, generate more accurate code, debug issues faster, and assist with development tasks using knowledge of your actual application architecture.
With Boost installed, your AI agent transforms from a general-purpose coding assistant into a Laravel-focused development partner that understands how your application works behind the scenes. Whether you're building APIs, managing complex database relationships, optimizing routes, or scaling enterprise applications, Boost helps AI deliver context-aware support tailored specifically to your project.
Key Features
- Deep Laravel application awareness
- Intelligent route and controller analysis
- Database schema and model understanding
- Context-aware code generation
- Enhanced debugging and troubleshooting
- Smart architectural recommendations
- Seamless integration with AI coding workflows
Boost helps developers work faster, reduce repetitive tasks, and unlock a more intelligent AI-powered Laravel development experience.
Boost MCP Server Development Guide
Boost is an MCP (Model Context Protocol) server that enhances AI agents with deep Laravel application awareness. This guide walks through the complete development process — from installation to advanced AI-assisted workflows.
1. What is Laravel Boost?
Laravel Boost connects your Laravel application with AI tools through the MCP (Model Context Protocol). It gives AI agents access to:
- Laravel routes in web.php api.php
- Database schema
- Eloquent models
- Controllers
- Application structure
- Configurations
- Business logic
Instead of acting like a generic code assistant, the AI becomes context-aware and understands your actual Laravel project.
Laravel Boost Tools
Boost exposes a comprehensive set of tools to AI agents via the Model Context Protocol. These tools allow agents to deeply understand and interact with your Laravel application:
- Application Introspection - Query your PHP and Laravel versions, list installed packages, and inspect your application's configuration and environment variables.
- Database Tools - Inspect your database schema, execute read-only queries, and understand your data structure without leaving the conversation.
- Route Inspection - List all registered routes with their middleware, controllers, and parameters.
- Artisan Commands - Discover available Artisan commands and their arguments, enabling agents to suggest and execute the right commands for your task.
- Log Analysis - Read and analyze your application's log files to help debug issues.
- Browser Logs - Access browser console logs and errors when developing with Laravel's frontend tools.
- Tinker Integration - Execute PHP code in the context of your application via Laravel Tinker, allowing agents to test hypotheses and verify behavior.
- Documentation Search - Search Laravel ecosystem documentation with results tailored to your installed package versions.
2. Prerequisites
Before installing Boost, make sure you have:
Required Software
- PHP 8.2+ or higher.
- Composer
- Node.js 20+
- Laravel 11 or newer
- Git
- AI-enabled IDE (Cursor, Claude Desktop, VS Code, etc.)
Installation
Laravel boost is support Laravel 10, 11, 12, and 13 running PHP 8.1 or higher. command
$composer require laravel/boost --dev
$php artisan boost:install
3. Create a Laravel Boost Project
If you don’t already have a project:
$composer create-project laravel/laravel boost-demo
Move into the project:
$cd boost-demo
Start Laravel:
$php artisan serve
4. Install Boost MCP Server
Install Boost into your Laravel application.
Example installation:
$composer require boost/mcp
Or using npm (depending on package distribution):
$npm install @boost/mcp
5. Publish Configuration
Publish Boost configuration files:
$php artisan vendor:publish --tag=boost-config
This creates:
config/boost.php
6. Configure Environment Variables
Configure Environment Variables in Boost settings to .env file
BOOST_ENABLED=true
BOOST_AI_PROVIDER=openai
BOOST_PROJECT_NAME=BoostDemo
Optional:
BOOST_DEBUG=true
BOOST_CACHE=true
7. Start the MCP Server
Run the Boost server:
$php artisan boost:start
Or:
$npm run boost
Expected output:
Boost MCP Server running on localhost:3000
8. Connect AI Agent
Now connect your AI coding assistant.
Example: Cursor IDE
Create MCP config:
{
"mcpServers": {
"boost": {
"command": "php",
"args": ["artisan", "boost:start"]
}
}
}
9. Verify AI Integration
Ask your AI:
Show all API routes in this Laravel app
The AI should now understand:
- Route definitions
- Controllers
- Middleware
- API resources
10. Database Intelligence
Boost allows AI to inspect database structure.
Example Migration
$php artisan make:model Post -m
Migration:
Schema::create('posts', function (Blueprint $table) {
$table->id();
$table->string('title');
$table->text('content');
$table->timestamps();
});
Run migration:
$php artisan migrate
Now the AI can understand:
- Table relationships
- Fields
- Data types
- Constraints
11. Route Analysis
Example route:
Route::get('/posts', [PostController::class, 'index']);
AI can now:
- Explain route flow
- Generate controllers
- Create tests
- Suggest optimizations
12. AI-Powered Code Generation
Example prompt:
- Create CRUD APIs for Post model
- Boost-aware AI can generate:
- Controller
- Form Requests
- API Resources
- Validation
- Routes
- Policies
13. Intelligent Debugging
Example error:
SQLSTATE[42S02]: Base table not found
Boost helps AI inspect:
- Missing migrations
- Wrong table names
- Broken relationships
- Query issues
14. Understanding Eloquent Relationships
Example models:
class User extends Model
{
public function posts()
{
return $this->hasMany(Post::class);
}
}
AI can understand:
- hasMany
- belongsTo
- morphMany
- pivot tables
And generate optimized queries automatically.
15. Generate Laravel Features Faster
Boost enables AI to build:
- Authentication systems
- Admin panels
- REST APIs
- Multi-tenant systems
- SaaS architecture
- Queue systems
- Notifications
- WebSockets
16. Advanced AI Workflows
Example Prompts
- Generate API Documentation
- Generate OpenAPI documentation for all routes
- Optimize Database Queries
- Find N+1 query problems
- Refactor Controllers
- Refactor fat controllers into services
17. Security Analysis
Boost-aware AI can inspect:
- Validation rules
- Mass assignment issues
- Authentication flow
- Authorization policies
- API vulnerabilities
18. Performance Optimization
AI can analyze:
- Slow queries
- Missing indexes
- Cache opportunities
- Queue bottlenecks
- Route caching
19. Testing Automation
Generate tests automatically:
Create feature tests for Post APIs
AI can generate:
- PHPUnit tests
- Pest tests
- API assertions
- Mock data
- Factories
20. Production Deployment
Deploy your Laravel app normally:
- php artisan config:cache
- php artisan route:cache
- php artisan optimize
Run production server:
$php artisan octane:start
Or deploy with:
- Forge
- Vapor
- Docker
- Kubernetes
(TL;RL) Create Workflow Laravel Boost Example:
Developer Prompt
Boost AI Response
- Models
- Controllers
- Policies
- Requests
- Resources
- Routes
- Migrations
- Tests
ความคิดเห็น
แสดงความคิดเห็น