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airflow-mcp-server

get_log

Extract and retrieve detailed logs for specific tasks, DAG runs, or task attempts using DAG ID, task ID, and run parameters for efficient workflow monitoring and debugging.

Instructions

get_log

Input Schema

NameRequiredDescriptionDefault
dag_idNo
dag_run_idNo
full_contentNo
map_indexNo
task_idNo
task_try_numberNo
tokenNo

Input Schema (JSON Schema)

{ "properties": { "dag_id": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Dag Id" }, "dag_run_id": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Dag Run Id" }, "full_content": { "anyOf": [ { "type": "boolean" }, { "type": "null" } ], "default": null, "title": "Full Content" }, "map_index": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Map Index" }, "task_id": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Task Id" }, "task_try_number": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Task Try Number" }, "token": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Token" } }, "title": "get_log_input", "type": "object" }

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