Airflow MCP Server
The Airflow MCP server lets your AI tools read your DAGs, runs, and task logs, so you can ask the AI to investigate a failed task and recommend a fix without leaving VS Code.
It is backed by Astronomer's Airflow MCP server and works with both Airflow 2 and Airflow 3.
Prerequisites
- The Airflow MCP server enabled for your environment (see Enabling).
- Airflow enabled and running for your environment.
How it works
- No setup required. The server authenticates as you, using your Datacoves identity, so it only sees what your Airflow permissions allow.
- Read-only by default. The server is configured for read access, so the AI can inspect DAGs, runs, and logs but cannot trigger, pause, or change anything.
- Works with both your team's Airflow and, when enabled, your personal My Airflow instance.
Enabling
note
An administrator enables the server in Admin > Environments > your environment > AI Tools > MCP Servers by turning on Airflow.
Use it
Start (or restart) your workspace so the AI tools pick up the server, then ask, for example:
Check the log of the task that failed in my last DAG run and recommend a fix.
Which DAGs failed today, and what was the error?