Kritim Yantra
May 02, 2025
Artificial Intelligence is reshaping how we build applications, and with protocols like MCP (Model Context Protocol), integrating AI into traditional web stacks is easier than ever. If you're a PHP developer wondering how to leverage AI tools and models like ChatGPT or Claude within your applications, then building a PHP MCP server is your answer.
In this beginner-friendly blog post, we’ll explore what a PHP MCP server is, why it matters, what problems it solves, and walk through example code to get you started.
The Model Context Protocol (MCP) is an open standard that enables language models to interact with external tools, data sources, or services. Think of it as a bridge that lets an AI model request specific information or take action using your application’s backend.
A PHP MCP server is an implementation of this protocol in PHP. It allows your PHP application to expose methods (like file operations, database access, or custom business logic) as tools that an AI model can discover and use.
With libraries like logiscape/mcp-sdk-php
or community packages like PulseMCP
, building a compliant MCP server in PHP is now straightforward.
MCP standardizes communication between AI models and your services. No more writing custom integrations for each tool—just expose your PHP functionality once, and any compliant AI client can use it.
PHP still powers a significant portion of the web. With MCP, you can infuse AI into CMS platforms, e-commerce apps, and business portals without switching stacks.
MCP gives you full control over what an AI agent can access—whether it’s file reads, database queries, or third-party APIs. You can sandbox, throttle, or secure endpoints as needed.
logiscape/mcp-sdk-php
)<?php
require 'vendor/autoload.php';
use Logiscape\MCP\Server\MCPServer;
use Logiscape\MCP\Transport\StdIOTransport;
use Logiscape\MCP\Message\ToolInvocation;
$transport = new StdIOTransport();
$server = new MCPServer($transport);
$server->registerTool('echoText', function (ToolInvocation $invocation) {
$input = $invocation->getParams()['message'] ?? '';
return ['echo' => strtoupper($input)];
});
$server->start();
This sets up a basic tool called echoText
that returns an uppercase version of any input string.
# Create Laravel project
composer create-project laravel/laravel mcp-server
cd mcp-server
composer require garyblankenship/mcp-php
// app/Providers/MCPServiceProvider.php
<?php
namespace App\Providers;
use Illuminate\Support\ServiceProvider;
use MCP\Server\MCPServer;
use MCP\Transport\SSETransport;
class MCPServiceProvider extends ServiceProvider
{
public function boot()
{
$transport = new SSETransport();
$server = new MCPServer($transport);
$server->registerResource('listUsers', function () {
return \App\Models\User::all()->toArray();
});
$server->start();
}
}
This Laravel service provider exposes a listUsers
resource that returns a list of all users in your database.
PHP MCP servers unlock the full power of AI in your PHP applications. Whether you're building a tool to automate file operations, respond to customer queries, or analyze sales data, the Model Context Protocol gives you a standardized way to expose your app's capabilities to AI agents.
Thanks to robust SDKs and community support, getting started with PHP MCP servers is easier than ever. It's time to bridge the gap between your PHP stack and the next generation of intelligent, autonomous systems.
Ready to build your first AI-enabled PHP tool? Start with a simple echo server and expand from there—the possibilities are endless.
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