Apache Airflow MCP git:20260710.2925510B

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---
title: "Apache Airflow MCP"
description: "Apache Airflow MCP is built around Apache Airflow workflow orchestration. The underlying ecosystem is represented by apache/airflow (44,767+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like Airflow REST API, DAGs, task instances, schedulers and preserving the operational […]"
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

Apache Airflow MCP is built around Apache Airflow workflow orchestration. The underlying ecosystem is represented by apache/airflow (44,767+ GitHub stars). It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like Airflow REST API, DAGs, task instances, schedulers and preserving the operational […]

## Prerequisites

Python

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
pip install apache-airflow
```

## Documentation

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

## Source

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