astronomer-data-agents

Data engineering for Apache Airflow and Astronomer. Author DAGs with best practices, debug pipeline failures, trace data lineage, profile tables, migrate Airflow 2 to 3, and manage local and cloud deployments.

Install

If the official marketplace isn’t added yet, run

Category: Development
GitHub: astronomer/agents

Good for

Author Airflow DAGs following best practices
Debug pipeline failures
Trace data lineage and profile tables
Migrate from Airflow 2 to Airflow 3

Getting started

Install with /plugin install astronomer-data-agents@claude-plugins-official
The plugin includes the Airflow MCP server, which runs via uvx from PyPI
For self-hosted Airflow, set AIRFLOW_API_URL to your instance
Ask Claude to write a DAG, debug a pipeline or manage local and cloud deployments

Before you install

The MCP server works with any Airflow 2.x/3.x REST API. Warehouse queries run through the analyzing-data skill in a background Jupyter kernel.

Summarized by AI from the project docs; check the official docs before relying on it.

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