Building your MCP server with Laravel (sevalla.com)

This tutorial walks through building a Model Context Protocol (MCP) server in Laravel to let AI agents (like Claude) discover and use your app’s capabilities instead of parsing freeform docs. You scaffold a Laravel app, install laravel/mcp, publish ai routes, and register a server endpoint (Mcp::web('/mcp/tasks', TaskServer::class)). The guide demonstrates a complete task-management example: migrations and a Task model (SQLite for the demo), a custom TaskBuilder for readable, chainable queries (forUser()->incomplete()->highPriority()), and an MCP server scaffold (php artisan make:mcp-server) that exposes tools, resources, and prompt templates. It also mentions integrating Sanctum auth, Pest tests, and Claude as an MCP client. Key technical takeaways: tools are action handlers (example: CreateTaskTool) with a schema() method using JsonSchema to declare input contracts, enabling the AI to validate and prepare correct calls; server-side validation returns helpful error messages so agents can retry intelligently; Response objects return structured, human-friendly confirmations. The pattern improves reliability and maintainability—AI clients can programmatically discover capabilities, inputs, and constraints, reducing misinterpretation and making agent-driven workflows (create task, mark complete, fetch reports) robust and testable.