claude

nixtla-airflow-operator

Real Apache Airflow tooling for TimeGPT forecasting pipelines. Generate production-ready DAGs (BigQuery / Snowflake / Postgres / S3 sources), AST + DagBag-based DAG validation with credential lint, real Airflow Connection JSON for 5 source types, and pytest test modules that load the DAG via DagBag.

11 on GitHubby Jeremy Longshorev1.0.0MITupdated 30 days ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin nixtla-airflow-operator in jeremylongshore/plugins-nixtla. Commands read from the repo's manifest — 29 days ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Slash commands (1)

  • /nixtla-airflow-operator:nixtla-airflow-dag

    Generate production-ready Airflow DAG for TimeGPT forecasting

MCP servers (1)

  • nixtla-airflow-operator

    runs: python scripts/airflow_mcp.py

View source on GitHub jeremylongshore.github.io

Problems found in this repo's manifests

  • "nixtla-baseline-lab" points to github:jeremylongshore/plugins-nixtla/005-plugins/nixtla-baseline-lab, which doesn't exist in the repo — install will fail
  • "nixtla-bigquery-forecaster" points to github:jeremylongshore/plugins-nixtla/005-plugins/nixtla-bigquery-forecaster, which doesn't exist in the repo — install will fail
  • "nixtla-search-to-slack" points to github:jeremylongshore/plugins-nixtla/005-plugins/nixtla-search-to-slack, which doesn't exist in the repo — install will fail

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