MCP Server for Apache Airflow

Instructions

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),
      ]