Apache Airflow MCP
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What this skill tells your AI
The instructions your AI receives, as published by agentskillexchange/skills in skills/apache-airflow-mcp/SKILL.md and read by ahel’s review.
Prerequisites
Python
Installation
Use the upstream install or setup path that matches your environment:
- pip - especially when it comes to constraint vs. requirements management.
- pip install 'apache-airflow==3.2.0' \
- pip install 'apache-airflow[postgres,google]==3.2.0' \
- docker tool, use them in Kubernetes, Helm Charts, docker-compose, docker swarm, etc. You can
Requirements and caveats from upstream:
- | PyPI | [](https://pypi.org/p...
- | Containers | [](https://hub.d...
- Support for Python and Kubernetes versions
Basic usage or getting-started notes:
-
Getting started
-
Airflow works best with workflows that are mostly static and slowly changing. When the Dag structure is similar from one run to the next, it clarifies the unit of work and continuity. Other similar projects include [L...
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Extracted from upstream docs: https://raw.githubusercontent.com/apache/airflow/HEAD/README.md
Documentation
Source
Signals
- GitHub stars
- 38
- Forks
- 53
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
apache-airflow-mcp- Source
- github.com/agentskillexchange/skills