Empowers LLM agents to manage and automate ETL workflows across Airflow, AWS Glue, Athena, and S3 using natural language commands.
This project implements a Model Context Protocol (MCP)-compliant server that exposes a powerful set of ETL orchestration tools to LLM agents (like Claude or GPT). It enables these AI assistants to control, monitor, and interact with real-world data infrastructure, including Airflow, AWS Glue, Athena, and S3, using natural language. This seamless integration allows for the automation and management of complex data workflows through intuitive natural language commands, bridging the gap between large language models and operational data infrastructure.