MCP Server for Apache Airflow

Instructions

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),
      ]