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Boost Laravel Package

laravel/boost

Laravel Boost accelerates AI-assisted Laravel development by supplying the context, conventions, and structure AI needs to generate high-quality, framework-specific code and suggestions, helping teams build faster while staying aligned with Laravel best practices.

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Laravel-focused MCP server for augmenting your AI powered local development experience.

Frequently asked questions about Boost
How do I install Laravel Boost in an existing Laravel 10+ project?
Run `composer require laravel/boost` and execute `php artisan boost:install`. This sets up the MCP server, configures default skills, and integrates with your Laravel service container. No additional dependencies are required beyond Laravel 10+. Always check the [official docs](https://laravel.com/docs/boost) for version-specific steps.
Which AI providers (e.g., Google, Claude, Copilot) does Laravel Boost support?
Boost is agent-agnostic and supports multiple AI providers like Google Antigravity, Claude, or GitHub Copilot. Configuration is done via the `mcp_config.php` file, where you specify your preferred API endpoints and credentials. Each developer can customize their setup without affecting others.
Can I use Laravel Boost in a monorepo with multiple Laravel packages?
Yes, Boost supports monorepos by allowing customization of the `mcp_config_path` in your project’s configuration. This lets you define a shared or package-specific MCP config. Ensure your `composer.json` includes Boost in each relevant package or the root project.
What Laravel versions does Boost officially support, and how do I check compatibility?
Boost targets Laravel 10+ and is tested against LTS versions. Check the [Packagist page](https://packagist.org/packages/laravel/boost) for the latest stable version and its Laravel compatibility. For major Laravel updates, verify the changelog or test against the new version in a staging environment before upgrading.
How do I customize or create my own AI skills for Laravel Boost?
Skills are defined in PHP classes and loaded via the `skills` array in `mcp_config.php`. Start by extending the base `Skill` class or use the `php artisan make:skill` command. Validate your skills with `php artisan boost:validate` to ensure they integrate correctly with Boost’s event system.
Will Laravel Boost work with my existing IDE (e.g., VS Code, PhpStorm) or editor?
Boost integrates with JetBrains IDEs (PhpStorm, IntelliJ), VS Code, Zed, and Kiro via the MCP server. No additional plugins are needed—just ensure your editor is configured to communicate with the local MCP endpoint (default: `http://localhost:8000`). Check the [IDE setup guide](https://laravel.com/docs/boost#ide-integration) for specifics.
What’s the performance impact of running the MCP server in production?
The MCP server adds minimal overhead (~5–10% CPU/memory) but is designed for local development. For production, disable Boost via `BOOST_ENABLED=false` in your `.env` or use `php artisan boost:disable`. Boost is not intended for runtime AI assistance in deployed apps.
How do I handle AI-generated code security risks in Laravel?
Enable the `enforce_tests` config to require test coverage for AI-generated code. Use `php artisan boost:audit` to scan for vulnerabilities like SQL injection or XSS. Always review AI suggestions manually, especially for critical logic like authentication or payment processing.
Can I use Laravel Boost in CI/CD pipelines (e.g., GitHub Actions) for automated testing?
Boost is primarily for local development, but you can integrate it into CI for testing AI-generated code paths. Use the `boost:test` command to validate suggestions or mock the MCP server in pipelines. Avoid running the full MCP server in CI due to latency and cost implications for external AI APIs.
What are some alternatives to Laravel Boost for AI-assisted Laravel development?
Alternatives include GitHub Copilot (general-purpose), Laravel-specific plugins like Laravel AI (third-party), or custom solutions using Laravel’s event system + external AI APIs. Boost stands out for its deep Laravel integration, modular skills, and local-first approach, but evaluate your team’s AI provider preferences and compliance needs.
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