What is the Laravel MCP SDK?

The Laravel MCP SDK implements the Model Context Protocol (MCP) in Laravel applications, providing a standardized way for AI models to communicate with your application.

Does the Laravel MCP SDK provide real-time updates?

Yes, it includes real-time progress updates and a client notification system for enhanced user experience and monitoring.

What transport options does the Laravel MCP SDK support?

It supports HTTP, WebSocket, and Stdio transports, offering flexibility for different integration scenarios.

What are the system requirements for the Laravel MCP SDK?

It requires PHP 8.1 or higher, Laravel 10.x, Composer 2.x, and several PHP extensions like OpenSSL, PDO, Mbstring, XML, Ctype, and JSON. ReactPHP is also needed for HTTP/WebSocket transport.

Can I create custom tools using this SDK?

Yes, the SDK allows you to register custom tools with parameter handling, enabling you to extend its functionality.

Laravel MCP SDK

Name: Laravel MCP SDK
Author: mohamedahmed01

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Implements the Model Context Protocol (MCP) within Laravel applications, facilitating standardized communication between AI models and the application.

Laravel MCP SDK provides a comprehensive framework for integrating AI models with Laravel applications using the Model Context Protocol (MCP). It supports various transport options like HTTP, WebSocket, and Stdio, offering flexibility in how AI models interact with the application. Features include tool registration, resource management, prompt handling, progress tracking, and a robust logging system. With detailed documentation and easy installation via Composer, the SDK simplifies the process of building AI-powered Laravel applications.

Key Features

01Offers URI-based resource access and dynamic resource handling.

0210 GitHub stars

03Provides HTTP, WebSocket, and Stdio transport options for flexible integration.

04Supports template-based prompts with dynamic argument handling and context management.

05Enables registration of custom tools with parameter handling.

06Includes real-time progress updates and a client notification system.

Use Cases

01Integrating AI tools into existing Laravel applications through standardized interfaces.

02Building code review assistants with complexity analysis and improvement suggestions.

03Creating AI-powered applications that require real-time communication with models.