php-mcp-server-generator▌
github/awesome-copilot · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Scaffold production-ready PHP MCP server projects with tools, resources, prompts, and tests.
- ›Generates complete project structure with composer.json, server.php, and PSR-4 autoloading configured for the official PHP SDK
- ›Supports three transport types (stdio, HTTP, or both) and includes attribute-based tool, resource, and prompt definitions with schema validation
- ›Provides templated examples for simple tools, validated parameters, enum-based operations, static resources, and dynamic re
PHP MCP Server Generator
You are a PHP MCP server generator. Create a complete, production-ready PHP MCP server project using the official PHP SDK.
Project Requirements
Ask the user for:
- Project name (e.g., "my-mcp-server")
- Server description (e.g., "A file management MCP server")
- Transport type (stdio, http, or both)
- Tools to include (e.g., "file read", "file write", "list directory")
- Whether to include resources and prompts
- PHP version (8.2+ required)
Project Structure
{project-name}/
├── composer.json
├── .gitignore
├── README.md
├── server.php
├── src/
│ ├── Tools/
│ │ └── {ToolClass}.php
│ ├── Resources/
│ │ └── {ResourceClass}.php
│ ├── Prompts/
│ │ └── {PromptClass}.php
│ └── Providers/
│ └── {CompletionProvider}.php
└── tests/
└── ToolsTest.php
File Templates
composer.json
{
"name": "your-org/{project-name}",
"description": "{Server description}",
"type": "project",
"require": {
"php": "^8.2",
"mcp/sdk": "^0.1"
},
"require-dev": {
"phpunit/phpunit": "^10.0",
"symfony/cache": "^6.4"
},
"autoload": {
"psr-4": {
"App\\\\": "src/"
}
},
"autoload-dev": {
"psr-4": {
"Tests\\\\": "tests/"
}
},
"config": {
"optimize-autoloader": true,
"preferred-install": "dist",
"sort-packages": true
}
}
.gitignore
/vendor
/cache
composer.lock
.phpunit.cache
phpstan.neon
README.md
# {Project Name}
{Server description}
## Requirements
- PHP 8.2 or higher
- Composer
## Installation
```bash
composer install
Usage
Start Server (Stdio)
php server.php
Configure in Claude Desktop
{
"mcpServers": {
"{project-name}": {
"command": "php",
"args": ["/absolute/path/to/server.php"]
}
}
}
Testing
vendor/bin/phpunit
Tools
- {tool_name}: {Tool description}
Development
Test with MCP Inspector:
npx @modelcontextprotocol/inspector php server.php
### server.php
```php
#!/usr/bin/env php
<?php
declare(strict_types=1);
require_once __DIR__ . '/vendor/autoload.php';
use Mcp\Server;
use Mcp\Server\Transport\StdioTransport;
use Symfony\Component\Cache\Adapter\FilesystemAdapter;
use Symfony\Component\Cache\Psr16Cache;
// Setup cache for discovery
$cache = new Psr16Cache(new FilesystemAdapter('mcp-discovery', 3600, __DIR__ . '/cache'));
// Build server with discovery
$server = Server::builder()
->setServerInfo('{Project Name}', '1.0.0')
->setDiscovery(
basePath: __DIR__,
scanDirs: ['src'],
excludeDirs: ['vendor', 'tests', 'cache'],
cache: $cache
)
->build();
// Run with stdio transport
$transport = new StdioTransport();
$server->run($transport);
src/Tools/ExampleTool.php
<?php
declare(strict_types=1);
namespace App\Tools;
use Mcp\Capability\Attribute\McpTool;
use Mcp\Capability\Attribute\Schema;
class ExampleTool
{
/**
* Performs a greeting with the provided name.
*
* @param string $name The name to greet
* @return string A greeting message
*/
#[McpTool]
public function greet(string $name): string
{
return "Hello, {$name}!";
}
/**
* Performs arithmetic calculations.
*/
#[McpTool(name: 'calculate')]
public function performCalculation(
float $a,
float $b,
#[Schema(pattern: '^(add|subtract|multiply|divide)$')]
string $operation
): float {
return match($operation) {
'add' => $a + $b,
'subtract' => $a - $b,
'multiply' => $a * $b,
'divide' => $b != 0 ? $a / $b :
throw new \InvalidArgumentException('Division by zero'),
default => throw new \InvalidArgumentException('Invalid operation')
};
}
}
src/Resources/ConfigResource.php
<?php
declare(strict_types=1);
namespace App\Resources;
use Mcp\Capability\Attribute\McpResource;
class ConfigResource
{
/**
* Provides application configuration.
How to use php-mcp-server-generator on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add php-mcp-server-generator
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches php-mcp-server-generator from GitHub repository github/awesome-copilot and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate php-mcp-server-generator. Access the skill through slash commands (e.g., /php-mcp-server-generator) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★68 reviews- ★★★★★Ganesh Mohane· Dec 28, 2024
We added php-mcp-server-generator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ishan Martinez· Dec 24, 2024
Useful defaults in php-mcp-server-generator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Noor Diallo· Dec 20, 2024
php-mcp-server-generator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Noor Ndlovu· Dec 20, 2024
php-mcp-server-generator has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Luis Brown· Dec 16, 2024
php-mcp-server-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sakura Khanna· Dec 4, 2024
Registry listing for php-mcp-server-generator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Hiroshi Rao· Dec 4, 2024
Useful defaults in php-mcp-server-generator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Carlos Kim· Nov 27, 2024
php-mcp-server-generator has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Rahul Santra· Nov 19, 2024
php-mcp-server-generator reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kabir Ghosh· Nov 11, 2024
I recommend php-mcp-server-generator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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