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MCP Server for Apache Airflow

by yangkyeongmo

get_task

Retrieve a specific task from Apache Airflow using its DAG and task identifiers to access execution details and status.

Instructions

Get a task by ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dag_idYes
task_idYes

Implementation Reference

  • The main handler function for the 'get_task' MCP tool. It calls the Airflow DAG API to retrieve task details by dag_id and task_id, and returns the response as TextContent.
    async def get_task(
        dag_id: str, task_id: str
    ) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]:
        response = dag_api.get_task(dag_id=dag_id, task_id=task_id)
        return [types.TextContent(type="text", text=str(response.to_dict()))]
  • The registration entry for the 'get_task' tool within the get_all_functions() list returned by dag.py, which is imported and used in src/main.py to add tools to the MCP server.
    (get_task, "get_task", "Get a task by ID", True),
  • Helper function get_all_functions() that provides the list of tool tuples, including get_task, for registration in the MCP server.
    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),
        ]
  • src/main.py:95-96 (registration)
    The generic loop in main.py that registers all tools from modules like dag.py by calling app.add_tool for each function in get_all_functions().
    for func, name, description, *_ in functions:
        app.add_tool(Tool.from_function(func, name=name, description=description))

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