Skip to main content
Glama

list_import_errors

Retrieve import errors from Airflow to identify and resolve DAG loading issues, enabling efficient troubleshooting of deployment problems.

Instructions

[Tool Role]: Lists import errors in Airflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo

Implementation Reference

  • The core handler function that implements the list_import_errors tool by querying the Airflow /importErrors API endpoint with optional pagination parameters.
    async def list_import_errors(limit: int = 20, offset: int = 0) -> Dict[str, Any]: """[Tool Role]: Lists import errors in Airflow.""" params = {'limit': limit, 'offset': offset} query_string = "&".join([f"{k}={v}" for k, v in params.items()]) resp = await airflow_request("GET", f"/importErrors?{query_string}") resp.raise_for_status() return resp.json()
  • Registers the common tools including list_import_errors for Airflow API v1 by calling register_common_tools after setting the v1-specific airflow_request function.
    common_tools.register_common_tools(mcp)
  • Registers the common tools including list_import_errors for Airflow API v2 by calling register_common_tools after setting the v2-specific airflow_request function.
    common_tools.register_common_tools(mcp)

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/call518/MCP-Airflow-API'

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