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Monitor Airflow DAG status, recent runs, history, and performance metrics read-only.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Airflow MCP Monitor" yet — see the docs or source repo.
List all currently active Airflow DAGs and show each DAG's schedule frequency and latest run status.
A list of active DAGs with schedule details and a summary of the latest run results.
Fetch failed DAG runs from the last 7 days, rank them by failure count, and summarize the most failure-prone workflows.
A report of failed runs, failure rankings, and a brief analysis of high-risk DAGs.
Analyze execution duration trends for a specified DAG across the last 30 runs and identify any regressions or abnormal fluctuations.
An execution time trend analysis highlighting possible performance issues and anomalous periods.
Connect to Apache Airflow to inspect workflows, trigger DAGs, and monitor health.
Manage Apache Airflow workflows with natural language for monitoring, task control, and configuration.
Inspect Airflow DAGs, runs, logs, and trigger or clear workflows.
Monitor Docker containers, system resources, ports, and logs in real time.
Securely monitor Cisco Meraki networks with real-time, read-only queries.
Retrieve air quality sensor data remotely and export historical analyses.