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MCP Server Airflow Token

unpause_dag

Resume a paused Airflow DAG by providing its ID to restart scheduled task execution and workflow automation.

Instructions

Unpause a DAG by ID

Input Schema

NameRequiredDescriptionDefault
dag_idYes

Input Schema (JSON Schema)

{ "properties": { "dag_id": { "title": "Dag Id", "type": "string" } }, "required": [ "dag_id" ], "type": "object" }

Implementation Reference

  • The unpause_dag tool handler: patches the DAG to set is_paused=False via the Airflow DAG API and returns the response.
    async def unpause_dag(dag_id: str) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]: response = dag_api.patch_dag(dag_id=dag_id, dag_update_request={"is_paused": False}) return [types.TextContent(type="text", text=str(response.to_dict()))]
  • Registration of all Airflow DAG tools, including the unpause_dag tool (line 23).
    def get_all_functions() -> list[tuple[Callable, str, str, bool]]: """Return list of (function, name, description, is_read_only) tuples for registration.""" return [ (get_dags, "fetch_dags", "Fetch all DAGs", True), (get_dag, "get_dag", "Get a DAG by ID", True), (get_dag_details, "get_dag_details", "Get a simplified representation of DAG", True), (get_dag_source, "get_dag_source", "Get a source code", True), (pause_dag, "pause_dag", "Pause a DAG by ID", False), (unpause_dag, "unpause_dag", "Unpause a DAG by ID", False), (get_dag_tasks, "get_dag_tasks", "Get tasks for DAG", True), (get_task, "get_task", "Get a task by ID", True), (get_tasks, "get_tasks", "Get tasks for DAG", True), (patch_dag, "patch_dag", "Update a DAG", False), (patch_dags, "patch_dags", "Update multiple DAGs", False), (delete_dag, "delete_dag", "Delete a DAG", False), (clear_task_instances, "clear_task_instances", "Clear a set of task instances", False), (set_task_instances_state, "set_task_instances_state", "Set a state of task instances", False), (reparse_dag_file, "reparse_dag_file", "Request re-parsing of a DAG file", False), ]

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