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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.
Inspect Airflow DAGs, runs, logs, and trigger or clear workflows.
Chat with an AI agent, get weather data, and monitor agent status via MCP.
Securely monitor Cisco Meraki networks with real-time, read-only queries.
Query metrics and dimensions with MetricFlow through natural language interfaces.
Monitor machines, manage processes, and run diagnostics across local and remote systems.