Skip to main content
Glama
yangkyeongmo

MCP Server for Apache Airflow

by yangkyeongmo

get_dataset_events

Retrieve dataset events from Apache Airflow to monitor data dependencies and track dataset updates for workflow orchestration.

Instructions

Get dataset events

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
order_byNo
dataset_idNo
source_dag_idNo
source_task_idNo
source_run_idNo
source_map_indexNo

Implementation Reference

  • The main handler function for the 'get_dataset_events' tool. It accepts optional parameters, builds a kwargs dict, calls dataset_api.get_dataset_events, and returns the response as TextContent.
    async def get_dataset_events(
        limit: Optional[int] = None,
        offset: Optional[int] = None,
        order_by: Optional[str] = None,
        dataset_id: Optional[int] = None,
        source_dag_id: Optional[str] = None,
        source_task_id: Optional[str] = None,
        source_run_id: Optional[str] = None,
        source_map_index: Optional[int] = 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
        if dataset_id is not None:
            kwargs["dataset_id"] = dataset_id
        if source_dag_id is not None:
            kwargs["source_dag_id"] = source_dag_id
        if source_task_id is not None:
            kwargs["source_task_id"] = source_task_id
        if source_run_id is not None:
            kwargs["source_run_id"] = source_run_id
        if source_map_index is not None:
            kwargs["source_map_index"] = source_map_index
    
        response = dataset_api.get_dataset_events(**kwargs)
        return [types.TextContent(type="text", text=str(response.to_dict()))]
  • The get_all_functions() returns a list of tuples for tool registration, including the one for 'get_dataset_events' at line 16.
    def get_all_functions() -> list[tuple[Callable, str, str, bool]]:
        """Return list of (function, name, description, is_read_only) tuples for registration."""
        return [
            (get_datasets, "get_datasets", "List datasets", True),
            (get_dataset, "get_dataset", "Get a dataset by URI", True),
            (get_dataset_events, "get_dataset_events", "Get dataset events", True),
            (create_dataset_event, "create_dataset_event", "Create dataset event", False),
            (get_dag_dataset_queued_event, "get_dag_dataset_queued_event", "Get a queued Dataset event for a DAG", True),
            (get_dag_dataset_queued_events, "get_dag_dataset_queued_events", "Get queued Dataset events for a DAG", True),
            (
                delete_dag_dataset_queued_event,
                "delete_dag_dataset_queued_event",
                "Delete a queued Dataset event for a DAG",
                False,
            ),
            (
                delete_dag_dataset_queued_events,
                "delete_dag_dataset_queued_events",
                "Delete queued Dataset events for a DAG",
                False,
            ),
            (get_dataset_queued_events, "get_dataset_queued_events", "Get queued Dataset events for a Dataset", True),
            (
                delete_dataset_queued_events,
                "delete_dataset_queued_events",
                "Delete queued Dataset events for a Dataset",
                False,
            ),
        ]

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/yangkyeongmo/mcp-server-apache-airflow'

If you have feedback or need assistance with the MCP directory API, please join our Discord server