Claude Skill

Apache Airflow MCP

Imported from agentskillexchange/skills/skills/apache-airflow-mcp.

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Install

skills CLI npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-airflow-mcp

Claude Code

claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart

Git git clone https://github.com/agentskillexchange/skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Apache Airflow MCP

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...
Source: https://github.com/apache/airflow
Extracted from upstream docs: https://raw.githubusercontent.com/apache/airflow/HEAD/README.md

Documentation

https://airflow.apache.org/docs/

Source

Agent Skill Exchange

Files (skills)

SKILL.md 1.9 KB

---
name: "Apache Airflow MCP"
slug: "apache-airflow-mcp"
description: ""
github_stars: 45040
verification: "security_reviewed"
source: "https://github.com/apache/airflow"
author: "apache"
category: "Data Extraction & Transformation"
framework: "MCP"
tool_ecosystem:
  github_repo: "apache/airflow"
  github_stars: 45040
---

# Apache Airflow MCP



## 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 | [![PyPI version](https://badge.fury.io/py/apache-airflow.svg)](https://badge.fury.io/py/apache-airflow) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/apache-airflow.svg)](https://pypi.org/p...
- | Containers | [![Docker Pulls](https://img.shields.io/docker/pulls/apache/airflow.svg)](https://hub.docker.com/r/apache/airflow) [![Docker Stars](https://img.shields.io/docker/stars/apache/airflow.svg)](https://hub.d...
- [Support for Python and Kubernetes versions](#support-for-python-and-kubernetes-versions)

Basic usage or getting-started notes:
- <!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE -->
- [Getting started](#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...

- Source: https://github.com/apache/airflow
- Extracted from upstream docs: https://raw.githubusercontent.com/apache/airflow/HEAD/README.md

## Documentation

- https://airflow.apache.org/docs/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/apache-airflow-mcp/)