How are tool inputs validated?

Tool inputs are defined using Laravel's JSON Schema builder and can be further validated using standard Laravel validation rules for maximum security.

Does this skill support authentication?

Yes, it supports both OAuth 2.1 and Laravel Sanctum to ensure that only authorized AI clients can access your MCP servers and tools.

Laravel MCP is a framework-specific implementation of the Model Context Protocol, allowing AI clients like Claude to interact directly with your Laravel application's tools, data, and prompts.

Can I stream responses for long-running AI tasks?

Yes, the skill includes patterns for using PHP generators to stream responses and send progress notifications back to the AI client.

Is this compatible with the latest version of Laravel?

Yes, this skill is specifically designed for Laravel v12 and utilizes its latest features for AI integration and schema building.

Laravel MCP Integration

Name: Laravel MCP Integration
Author: rawveg

byrawveg

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API Development

Integrates Laravel applications with AI clients using the Model Context Protocol to expose tools, resources, and prompts.

About

This skill empowers developers to build sophisticated Model Context Protocol (MCP) servers directly within Laravel v12 applications. It provides a structured approach to defining AI-accessible tools with built-in validation, exposing application data as resources, and creating reusable prompt templates. With support for OAuth 2.1, Sanctum authentication, and streaming responses, it enables secure, real-time interactions between AI agents and Laravel backends, allowing AI to perform actions, query databases, and provide context-aware assistance seamlessly.

Key Features

Automated input validation using Laravel's JSON Schema builder
8 GitHub stars
Deep integration with Laravel's dependency injection and service container
Define custom MCP servers with integrated tools, resources, and prompts
Secure AI interactions with built-in OAuth 2.1 and Sanctum support
Real-time streaming responses and progress notifications for long-running tasks

Use Cases

Building an AI assistant that can safely query and modify your Laravel database
Creating specialized AI prompts for recurring business logic and data analysis
Exposing private documentation or internal app resources to LLMs securely

About

Key Features

Automated input validation using Laravel's JSON Schema builder
8 GitHub stars
Deep integration with Laravel's dependency injection and service container
Define custom MCP servers with integrated tools, resources, and prompts
Secure AI interactions with built-in OAuth 2.1 and Sanctum support
Real-time streaming responses and progress notifications for long-running tasks

Use Cases

Building an AI assistant that can safely query and modify your Laravel database
Creating specialized AI prompts for recurring business logic and data analysis
Exposing private documentation or internal app resources to LLMs securely