post_dag_run
Trigger a DAG by ID in Apache Airflow to start workflow execution with optional parameters like run ID, data intervals, and execution date.
Instructions
Trigger a DAG by ID
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| dag_id | Yes | ||
| dag_run_id | No | ||
| data_interval_end | No | ||
| data_interval_start | No | ||
| execution_date | No | ||
| logical_date | No | ||
| note | No |
Implementation Reference
- src/airflow/dagrun.py:36-68 (handler)The main handler function for the 'post_dag_run' tool. It constructs a DAGRun object from provided parameters and triggers the DAG run using the Airflow DAGRunApi.
async def post_dag_run( dag_id: str, dag_run_id: Optional[str] = None, data_interval_end: Optional[datetime] = None, data_interval_start: Optional[datetime] = None, execution_date: Optional[datetime] = None, logical_date: Optional[datetime] = None, note: Optional[str] = None, # state: Optional[str] = None, # TODO: add state ) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]: # Build kwargs dictionary with only non-None values kwargs = {} # Add non-read-only fields that can be set during creation if dag_run_id is not None: kwargs["dag_run_id"] = dag_run_id if data_interval_end is not None: kwargs["data_interval_end"] = data_interval_end if data_interval_start is not None: kwargs["data_interval_start"] = data_interval_start if execution_date is not None: kwargs["execution_date"] = execution_date if logical_date is not None: kwargs["logical_date"] = logical_date if note is not None: kwargs["note"] = note # Create DAGRun without read-only fields dag_run = DAGRun(**kwargs) response = dag_run_api.post_dag_run(dag_id=dag_id, dag_run=dag_run) return [types.TextContent(type="text", text=str(response.to_dict()))] - src/airflow/dagrun.py:17-29 (registration)Registration of the 'post_dag_run' tool within the list of functions returned by get_all_functions(), used for MCP tool registration.
def get_all_functions() -> list[tuple[Callable, str, str, bool]]: """Return list of (function, name, description, is_read_only) tuples for registration.""" return [ (post_dag_run, "post_dag_run", "Trigger a DAG by ID", False), (get_dag_runs, "get_dag_runs", "Get DAG runs by ID", True), (get_dag_runs_batch, "get_dag_runs_batch", "List DAG runs (batch)", True), (get_dag_run, "get_dag_run", "Get a DAG run by DAG ID and DAG run ID", True), (update_dag_run_state, "update_dag_run_state", "Update a DAG run state by DAG ID and DAG run ID", False), (delete_dag_run, "delete_dag_run", "Delete a DAG run by DAG ID and DAG run ID", False), (clear_dag_run, "clear_dag_run", "Clear a DAG run", False), (set_dag_run_note, "set_dag_run_note", "Update the DagRun note", False), (get_upstream_dataset_events, "get_upstream_dataset_events", "Get dataset events for a DAG run", True), ]