abhishekbhakat/airflow-mcp-server
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abhishekbhakat
2025-02-16 10:18:35 +00:00
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@@ -31,3 +31,11 @@ https://github.com/user-attachments/assets/f3e60fff-8680-4dd9-b08e-fa7db655a705
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> You can download the openapi spec from [Airflow REST API](https://airflow.apache.org/docs/apache-airflow/stable/stable-rest-api-ref.html) > You can download the openapi spec from [Airflow REST API](https://airflow.apache.org/docs/apache-airflow/stable/stable-rest-api-ref.html)
# Scope
2 different streams in which Airflow MCP Server can be used:
- Adding Airflow to AI (_complete access to an Airflow deployment_)
- This will enable AI to be able to write DAGs and just do things in a schedule on its own.
- Adding AI to Airflow (_read-only access using Airflow Plugin_)
- This stream can enable Users to be able to get a better understanding about their deployment. Specially in cases where teams have hundreds, if not thousands of dags.