Skip to main content
Glama
yangkyeongmo

MCP Server for Apache Airflow

by yangkyeongmo

get_dag

Retrieve a specific DAG by its ID from Apache Airflow using the MCP Server's standardized REST API interface for efficient DAG management and monitoring.

Instructions

Get a DAG by ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dag_idYes

Implementation Reference

  • The main handler function for the 'get_dag' tool. It retrieves the DAG by ID from the Airflow API, adds a UI URL using get_dag_url helper, and returns the result as MCP TextContent.
    async def get_dag(dag_id: str) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]: response = dag_api.get_dag(dag_id=dag_id) # Convert response to dictionary for easier manipulation response_dict = response.to_dict() # Add UI link to DAG response_dict["ui_url"] = get_dag_url(dag_id) return [types.TextContent(type="text", text=str(response_dict))]
  • The get_all_functions() returns a list of tuples for tool registration, including ('get_dag', "get_dag", "Get a DAG by ID", True) on line 19.
    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), ]
  • Helper function to generate the UI URL for a DAG, used in the get_dag handler.
    def get_dag_url(dag_id: str) -> str: return f"{AIRFLOW_HOST}/dags/{dag_id}/grid"

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