Airflow
Connects AI assistants to Apache Airflow instances via the Model Context Protocol (MCP) to enable inspection and management.
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Connects AI assistants to Apache Airflow instances via the Model Context Protocol (MCP) to enable inspection and management.
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The Airflow MCP Server acts as a human-entrypoint, exposing a safe and focused set of tools that allow AI assistants to interact with Apache Airflow. It enables inspection of DAGs, runs, and logs, with optional write operations gated by client approval for enhanced security. Responses are structured JSON objects, simplifying integration with AI models and providing traceability through a `request_id`. The server supports configuring multiple Airflow instances and offers robust server-side filtering for logs, facilitating efficient incident triage and automated Airflow management workflows.