set_task_instances_state

Instructions

Implementation Reference

• src/airflow/dag.py:234-267 (handler)

  The async handler function that executes the tool's logic by building a state request and calling the Airflow DAG API's post_set_task_instances_state method.

  async def set_task_instances_state(
      dag_id: str,
      state: str,
      task_ids: Optional[List[str]] = None,
      execution_date: Optional[str] = None,
      include_upstream: Optional[bool] = None,
      include_downstream: Optional[bool] = None,
      include_future: Optional[bool] = None,
      include_past: Optional[bool] = None,
      dry_run: Optional[bool] = None,
  ) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]:
      state_request = {"state": state}
      if task_ids is not None:
          state_request["task_ids"] = task_ids
      if execution_date is not None:
          state_request["execution_date"] = execution_date
      if include_upstream is not None:
          state_request["include_upstream"] = include_upstream
      if include_downstream is not None:
          state_request["include_downstream"] = include_downstream
      if include_future is not None:
          state_request["include_future"] = include_future
      if include_past is not None:
          state_request["include_past"] = include_past
      if dry_run is not None:
          state_request["dry_run"] = dry_run
  
      update_task_instances_state = UpdateTaskInstancesState(**state_request)
  
      response = dag_api.post_set_task_instances_state(
          dag_id=dag_id,
          update_task_instances_state=update_task_instances_state,
      )
      return [types.TextContent(type="text", text=str(response.to_dict()))]

• src/airflow/dag.py:15-33 (registration)

  The get_all_functions() defines the list of tools from the DAG module, including the registration tuple for set_task_instances_state.

  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),
      ]

• src/main.py:78-98 (registration)

  The main.py script iterates over API modules, calls their get_all_functions(), and registers each tool with the MCP app using app.add_tool().

  for api in apis:
      logging.debug(f"Adding API: {api}")
      get_function = APITYPE_TO_FUNCTIONS[APIType(api)]
      try:
          functions = get_function()
      except NotImplementedError:
          continue
  
      # Filter functions for read-only mode if requested
      if read_only:
          functions = filter_functions_for_read_only(functions)
  
      for func, name, description, *_ in functions:
          app.add_tool(func, name=name, description=description)
  
  if transport == "sse":
      logging.debug("Starting MCP server for Apache Airflow with SSE transport")
      app.run(transport="sse")
  else:
      logging.debug("Starting MCP server for Apache Airflow with stdio transport")
      app.run(transport="stdio")