Airflow API

This tool serves as a Model Context Protocol (MCP) server, offering a robust natural language interface for managing Apache Airflow clusters. It provides comprehensive tools for essential operations, including DAG management, service operations, configuration oversight, real-time status monitoring, and request tracking. Optimized for large-scale enterprise environments, it ensures efficient resource usage with advanced pagination and provides minimal, LLM-friendly output for seamless integration with AI agents and tools like OpenWebUI and Smithery.