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MCP Server Airflow Token

get_task_instance

Retrieve a specific task instance from an Airflow DAG run by providing the DAG ID, task ID, and DAG run ID to access execution details and status.

Instructions

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

Input Schema

NameRequiredDescriptionDefault
dag_idYes
dag_run_idYes
task_idYes

Input Schema (JSON Schema)

{ "properties": { "dag_id": { "title": "Dag Id", "type": "string" }, "dag_run_id": { "title": "Dag Run Id", "type": "string" }, "task_id": { "title": "Task Id", "type": "string" } }, "required": [ "dag_id", "task_id", "dag_run_id" ], "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/nikhil-ganage/mcp-server-airflow-token'

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