Integrates Apache Airflow API to provide comprehensive tools for cluster management, monitoring, and operations via Model Context Protocol.
Control Apache Airflow instances via Airflow APIs through a Model Context Protocol (MCP) server.
Connects AI assistants to Apache Airflow instances via the Model Context Protocol (MCP) to enable inspection and management.
Deploys an Apache Airflow cluster using Docker Compose for local development and orchestration.
Manages and monitors Apache Airflow DAG runs.
Provides a Model Context Protocol (MCP) server for Apache Airflow, integrating Bearer token authentication for seamless operation with Astronomer Cloud and standalone Airflow instances.
Enables AI assistants to interact with Apache Airflow workflows, monitor DAG runs, and programmatically manage tasks.
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