PHP code example of klapaudius / symfony-mcp-server
1. Go to this page and download the library: Download klapaudius/symfony-mcp-server library. Choose the download type require.
2. Extract the ZIP file and open the index.php.
3. Add this code to the index.php.
<?php
require_once('vendor/autoload.php');
/* Start to develop here. Best regards https://php-download.com/ */
klapaudius / symfony-mcp-server example snippets
class IntelligentAnalyzer implements SamplingAwareToolInterface
{
private SamplingClient $samplingClient;
public function execute(array $arguments): ToolResultInterface
{
// Check if sampling is available
if ($this->samplingClient !== null && $this->samplingClient->isEnabled()) {
try {
// Let AI analyze and reason about complex data
$response = $this->samplingClient->createTextRequest(
"Analyze this data and suggest optimizations: {$arguments['data']}",
new ModelPreferences(
[['name' => 'claude-3-sonnet']],
0.3, // costPriority
0.8, // intelligencePriority
0.2 // speedPriority
),
'You are a data analysis expert.',
2000
);
// Execute actions based on AI reasoning
return new TextToolResult($response->getContent()->getText());
} catch (\Exception $e) {
// Fallback to basic analysis
return new TextToolResult('Basic analysis: Data structure appears valid.');
}
}
return new TextToolResult('Advanced analysis
class CodeReviewAgent implements SamplingAwareToolInterface
{
private SamplingClient $samplingClient;
public function execute(array $arguments): ToolResultInterface
{
// Check if sampling is available
if ($this->samplingClient !== null && $this->samplingClient->isEnabled()) {
try {
// AI analyzes code for patterns, security, and best practices
$review = $this->samplingClient->createTextRequest(
"Review this code for security vulnerabilities, performance issues, and suggest improvements: {$arguments['code']}",
new ModelPreferences(
[['name' => 'claude-3-sonnet']],
0.2, // costPriority
0.8, // intelligencePriority
0.2 // speedPriority
),
'You are a senior code reviewer with expertise in security and performance.',
2000
);
// Generate actionable recommendations
return new TextToolResult($this->formatReview($review->getContent()->getText()));
} catch (\Exception $e) {
// Fallback to basic analysis
return new TextToolResult('Basic code review: Structure appears valid.');
}
}
return new TextToolResult('Advanced code review
class DataInsightAgent implements SamplingAwareToolInterface, StreamableToolInterface
{
private SamplingClient $samplingClient;
private ?ProgressNotifierInterface $progressNotifier = null;
public function execute(array $arguments): ToolResultInterface
{
// Check if sampling is available
if ($this->samplingClient !== null && $this->samplingClient->isEnabled()) {
try {
// Multi-step reasoning process
$steps = [
'Identify patterns and anomalies',
'Generate statistical insights',
'Create visualizations',
'Recommend actions'
];
$this->progressNotifier?->sendProgress(
progress: 0,
total: count($steps)+1,
message: "Analyzing dataset..."
);
$insights = [];
foreach ($steps as $i => $step) {
$response = $this->samplingClient->createTextRequest(
"$step for this data: {$arguments['data']}",
new ModelPreferences(
[['name' => 'claude-3-sonnet']],
0.2, // costPriority
0.8, // intelligencePriority
0.2 // speedPriority
),
'You are a data analysis expert.',
2000
);
$insights[] = $response->getContent()->getText();
$this->progressNotifier?->sendProgress(
progress: $i+1,
total: count($steps)+1,
message: $step
);
}
return new TextToolResult($this->compileReport($insights));
} catch (\Exception $e) {
return new TextToolResult('Basic data analysis: Dataset appears well-formed.');
}
}
return new TextToolResult('Advanced data analysis
class SupportAgent implements SamplingAwareToolInterface
{
private SamplingClient $samplingClient;
public function execute(array $arguments): ToolResultInterface
{
// Check if sampling is available
if ($this->samplingClient !== null && $this->samplingClient->isEnabled()) {
try {
// Load customer context
$context = $this->loadCustomerHistory($arguments['customer_id']);
// AI determines best response strategy
$response = $this->samplingClient->createTextRequest(
"Customer issue: {$arguments['issue']}\nHistory: $context\nDetermine the best resolution approach.",
new ModelPreferences(
[['name' => 'claude-3-sonnet']],
0.2, // costPriority
0.8, // intelligencePriority
0.2 // speedPriority
),
'You are an expert customer support agent.',
2000
);
// Send back the strategy for user approval
return new TextToolResult($response->getContent()->getText());
} catch (\Exception $e) {
return new TextToolResult('Standard support response: We will review your issue and respond within 24 hours.');
}
}
return new TextToolResult('Personalized support