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MCP-Airflow-API

failed_dags

Identify and review recently failed DAG runs in an Apache Airflow cluster, providing detailed information on dag_id, run_id, execution dates, and task states for troubleshooting.

Instructions

[Tool Role]: Lists all recently failed DAG runs in the Airflow cluster.

Returns: List of failed DAG runs with comprehensive info: dag_id, run_id, state, execution_date, start_date, end_date, data_interval_start, data_interval_end, run_type, conf, external_trigger, dag_display_name

Input Schema

NameRequiredDescriptionDefault

No arguments

Input Schema (JSON Schema)

{ "properties": {}, "type": "object" }

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/call518/MCP-Airflow-API'

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