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yangkyeongmo

MCP Server for Apache Airflow

by yangkyeongmo

get_import_errors

Retrieve and list import errors from Apache Airflow to identify and resolve DAG loading issues.

Instructions

List import errors

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
order_byNo

Implementation Reference

  • The async handler function that implements the get_import_errors tool. It accepts optional parameters limit, offset, order_by, calls the Airflow ImportErrorApi, and formats the response as MCP TextContent.
    async def get_import_errors( limit: Optional[int] = None, offset: Optional[int] = None, order_by: Optional[str] = None, ) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]: # Build parameters dictionary kwargs: Dict[str, Any] = {} if limit is not None: kwargs["limit"] = limit if offset is not None: kwargs["offset"] = offset if order_by is not None: kwargs["order_by"] = order_by response = import_error_api.get_import_errors(**kwargs) return [types.TextContent(type="text", text=str(response.to_dict()))]
  • Function providing the registration tuple for the get_import_errors MCP tool (function, name, description, read-only flag).
    def get_all_functions() -> list[tuple[Callable, str, str, bool]]: """Return list of (function, name, description, is_read_only) tuples for registration.""" return [ (get_import_errors, "get_import_errors", "List import errors", True), (get_import_error, "get_import_error", "Get a specific import error by ID", True), ]

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