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MCP Server for Apache Airflow

by yangkyeongmo

clear_dag_run

Clear a specific DAG run in Apache Airflow by providing the DAG ID and run ID, enabling users to manage workflow execution directly through the MCP server interface.

Instructions

Clear a DAG run

Input Schema

NameRequiredDescriptionDefault
dag_idYes
dag_run_idYes
dry_runNo

Input Schema (JSON Schema)

{ "properties": { "dag_id": { "title": "Dag Id", "type": "string" }, "dag_run_id": { "title": "Dag Run Id", "type": "string" }, "dry_run": { "anyOf": [ { "type": "boolean" }, { "type": "null" } ], "default": null, "title": "Dry Run" } }, "required": [ "dag_id", "dag_run_id" ], "title": "clear_dag_runArguments", "type": "object" }

MCP directory API

We provide all the information about MCP servers via our MCP API.

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

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