Skip to main content
Glama
yangkyeongmo

MCP Server for Apache Airflow

by yangkyeongmo

set_task_instances_state

Change the state of Airflow task instances to manage workflow execution, such as marking tasks as failed or successful for troubleshooting or manual intervention.

Instructions

Set a state of task instances

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dag_idYes
stateYes
task_idsNo
execution_dateNo
include_upstreamNo
include_downstreamNo
include_futureNo
include_pastNo
dry_runNo

Implementation Reference

  • The main asynchronous handler function for the 'set_task_instances_state' tool. It constructs an UpdateTaskInstancesState object from the input parameters and calls the Airflow DAG API to set the state of the specified task instances.
    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()))]
  • The registration of all tools, including 'set_task_instances_state' as a tuple (function, name, description, is_read_only=False). This list is returned by get_all_functions() 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),
        ]

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