airflow-mcp-server

MIT License

Overview InspectNew Schema Related Servers Reviews Score

clear_dag_run

Remove specific or all DAG runs in Apache Airflow to clean up execution history. Use dry-run mode to preview actions before applying.

Instructions

clear_dag_run

Input Schema

Name	Required	Description	Default
`dag_id`	No
`dag_run_id`	No
`dry_run`	No

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"
    },
    "dry_run": {
      "anyOf": [
        {
          "type": "boolean"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Dry Run"
    }
  },
  "title": "clear_dag_run_input",
  "type": "object"
}

You must be authenticated.

Other Tools from airflow-mcp-server

Related Tools

delete_dag_run
@abhishekbhakat/airflow-mcp-server
list_task_instances
@yangkyeongmo/mcp-server-apache-airflow
trigger_dag
@yangkyeongmo/mcp-server-apache-airflow
set_dag_run_note
@abhishekbhakat/airflow-mcp-server
get_extra_links
@abhishekbhakat/airflow-mcp-server
delete_dag_dataset_queued_event
@abhishekbhakat/airflow-mcp-server

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/abhishekbhakat/airflow-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server