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qualityProvides a standardized way for MCP clients to interact with Apache Airflow's REST API, supporting operations like DAG management and monitoring Airflow system health.
Last updated -
66
77
Python
MIT License
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows.
Why this server?
Allows interaction with Apache Airflow through a Model Context Protocol server that wraps Airflow's REST API. Supports DAG management (listing, viewing details, pausing/unpausing), DAG runs (listing, creating), task management (listing tasks and task instances), and system information (health status, version, import errors).
Why this server?
Provides comprehensive monitoring and management of Apache Airflow clusters through natural language queries, including DAG inspection, task monitoring, health checks, cluster analytics, pool management, variable management, XCom operations, and event logging without requiring direct API complexity.
Why this server?
Enables interaction with Apache Airflow's REST API, allowing management of DAGs (listing, viewing, pausing, unpausing), triggering and monitoring DAG runs, accessing task instance details, and retrieving comprehensive logs for debugging and troubleshooting.
Why this server?
Provides comprehensive access to Apache Airflow's REST API, enabling management of DAGs, DAG runs, tasks, variables, connections, pools, XComs, datasets, and monitoring features. Supports both token-based and basic authentication, with special compatibility for Astronomer Cloud deployments.