airflow-mcp-server

MIT License

Overview InspectNew Schema Related Servers Reviews Score

get_task_instance_tries

Retrieve task instance retries in Airflow using dag_id, task_id, and run_id. Supports pagination, ordering, and filtering for efficient task monitoring and analysis.

Instructions

get_task_instance_tries

Input Schema

Name	Required	Description	Default
`dag_id`	No
`dag_run_id`	No
`limit`	No
`offset`	No
`order_by`	No
`task_id`	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"
    },
    "limit": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Limit"
    },
    "offset": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Offset"
    },
    "order_by": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Order By"
    },
    "task_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Task Id"
    }
  },
  "title": "get_task_instance_tries_input",
  "type": "object"
}

Install Server

HTTP connection URL

Other Tools from airflow-mcp-server

Related Tools

get_task_instance_try_details
@abhishekbhakat/airflow-mcp-server
get_task_instances_batch
@abhishekbhakat/airflow-mcp-server
get_mapped_task_instance
@abhishekbhakat/airflow-mcp-server
get_mapped_task_instances
@abhishekbhakat/airflow-mcp-server
get_task_instance
@yangkyeongmo/mcp-server-apache-airflow
get_task_instances
@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