reparse_dag_file
Reparse a DAG file in Apache Airflow to update its configuration and trigger execution after changes.
Instructions
Request re-parsing of a DAG file
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| file_token | Yes |
Implementation Reference
- src/airflow/dag.py:272-276 (handler)The MCP tool handler function that invokes the Airflow DAG API to reparse a DAG file using the provided file_token and returns the response.
async def reparse_dag_file( file_token: str, ) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]: response = dag_api.reparse_dag_file(file_token=file_token) return [types.TextContent(type="text", text=str(response.to_dict()))] - src/airflow/dag.py:15-33 (registration)The registration of the reparse_dag_file tool in the list of all functions returned 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 [ (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), ]