Data Pipeline Example

ETL and data processing system with multi-source ingestion, transformation, validation, and flexible output destinations.

Overview

• Data ingestion from multiple sources (databases, APIs, files)
• Transformation and validation pipelines
• Error handling and retry mechanisms
• Output to various destinations (databases, files, APIs)
• Monitoring and alerting for data quality

Features

• Data Ingestion: Support for CSV, JSON, XML, database sources
• Transformation: Data cleaning, validation, enrichment
• Quality Control: Data validation, duplicate detection
• Output Management: Multiple destination support
• Monitoring: Pipeline health, data quality metrics

Quick Start

$server = new McpServer(new Implementation('data-pipeline', '1.0.0'));

// Pipeline management
$server->tool('create_pipeline', 'Create data pipeline', $schema, $handler);
$server->tool('run_pipeline', 'Execute pipeline', $schema, $handler);
$server->tool('monitor_pipeline', 'Monitor pipeline status', $schema, $handler);

See the complete implementation for full source code.