Airflow
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Manages and monitors Apache Airflow DAG runs.
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This project provides a Model Context Protocol (MCP) server integrated with Apache Airflow, offering tools to manage and monitor DAG runs. It supports triggering DAGs, retrieving DAG status, backfilling data, and obtaining logs, streamlining Airflow workflows.
Características Principales
- Enable DAGs
- List all available DAGs
- 0 GitHub stars
- Trigger DAGs
- Get daily reports of DAG runs
- Backfill DAG data for specific date ranges
Casos de Uso
- Recovering missing data by backfilling DAGs
- Monitoring DAG run status and logs
- Automating DAG execution based on external triggers
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