Airflow Integrations

About

Integrates Apache Airflow with AI assistants through the Model Context Protocol, offering tools for DAG management, run monitoring, and comprehensive logging. It supports a wide range of Airflow hosting platforms, allowing AI to trigger workflows, track task instances, and access real-time logs for enhanced debugging and troubleshooting.

Key Features

• Comprehensive Logging: Access and monitor logs for debugging and troubleshooting
• Universal Compatibility: Works with all popular Airflow hosting platforms
• DAG Run Operations: Trigger new runs, list existing runs, and get detailed run information
• DAG Management: List, view details, pause, and unpause DAGs
• Task Instance Monitoring: View task instances and their execution details
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Use Cases

• Facilitate AI-assisted debugging and troubleshooting through log access.
• Allow AI assistants to trigger and manage Airflow DAGs.
• Enable AI-driven monitoring of Airflow workflow executions.