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MCP Server for Apache Airflow

by yangkyeongmo

update_task_instance

Update the state of a specific task instance in Apache Airflow using DAG ID, DAG run ID, and task ID for precise workflow management.

Instructions

Update a task instance by DAG ID, DAG run ID, and task ID

Input Schema

NameRequiredDescriptionDefault
dag_idYes
dag_run_idYes
stateNo
task_idYes

Input Schema (JSON Schema)

{ "properties": { "dag_id": { "title": "Dag Id", "type": "string" }, "dag_run_id": { "title": "Dag Run Id", "type": "string" }, "state": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "State" }, "task_id": { "title": "Task Id", "type": "string" } }, "required": [ "dag_id", "dag_run_id", "task_id" ], "title": "update_task_instanceArguments", "type": "object" }

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/yangkyeongmo/mcp-server-apache-airflow'

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