Apache Airflow FAQs

Question 1

What can I manage with the Airflow MCP Server?

Accepted Answer

You can manage various aspects of Airflow, including DAGs (listing, details, pausing, updating, deleting), DAG Runs, Tasks, Variables, Connections, Datasets, and Event Logs. It provides a comprehensive API for controlling your Airflow environment.

Question 2

Which Airflow API groups are supported?

Accepted Answer

The server supports config, connections, dag, dagrun, dagstats, dataset, eventlog, importerror, monitoring, plugin, pool, provider, taskinstance, variable, and xcom API groups.  You can choose to only enable a subset of the APIs.

Question 3

How do I set up the Airflow MCP Server?

Accepted Answer

You need to set environment variables like `AIRFLOW_HOST`, `AIRFLOW_USERNAME`, and `AIRFLOW_PASSWORD` to connect to your Airflow instance. The provided README.md includes detailed setup instructions for using it with Claude Desktop or running it manually.

Question 4

What is the Apache Airflow MCP Server?

Accepted Answer

It's a server that implements the Model Context Protocol (MCP) for Apache Airflow. This provides a standardized way for MCP clients to interact with and manage Airflow workflows, making integration simpler.

Question 5

What are the benefits of using the Model Context Protocol (MCP) with Airflow?

Accepted Answer

MCP standardizes how different tools interact with Airflow, creating a more consistent and predictable experience. This reduces complexity when integrating Airflow with other platforms and allows for easier automation.

Apache Airflow

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