delete_dag_run
Remove a specific DAG run in Apache Airflow by specifying the DAG ID and DAG run ID through MCP Server for efficient workflow management.
Instructions
Delete a DAG run by DAG ID and DAG run ID
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| dag_id | Yes | ||
| dag_run_id | Yes |
Implementation Reference
- src/airflow/dagrun.py:200-204 (handler)The main handler function for the 'delete_dag_run' tool. It calls the Airflow DAGRunApi to delete the DAG run specified by dag_id and dag_run_id, and returns a text response with the API result.async def delete_dag_run( dag_id: str, dag_run_id: str ) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]: response = dag_run_api.delete_dag_run(dag_id=dag_id, dag_run_id=dag_run_id) return [types.TextContent(type="text", text=str(response.to_dict()))]
- src/airflow/dagrun.py:17-29 (registration)The get_all_functions() in this module returns the list of all DAG run tools, including the registration tuple for 'delete_dag_run' (function reference, name, description, read-only=false).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), ]
- src/main.py:95-96 (registration)The central registration loop in main.py that adds all tools from various modules (including dagrun) to the MCP app using Tool.from_function.for func, name, description, *_ in functions: app.add_tool(Tool.from_function(func, name=name, description=description))