Control Apache Airflow workflows using natural language through Claude, GPT, or any LLM via MCP. Eliminates REST API calls by enabling direct chat-based workflow management for Airflow 2.x and 3.0+.
MCP-Airflow-API is a Model Context Protocol server that enables natural language control of Apache Airflow workflows. It bridges the gap between LLMs (Claude, GPT, etc.) and Airflow, allowing users to manage DAGs, trigger runs, monitor tasks, and control workflows through conversational AI without writing API calls.
Installation involves: 1) Install the Python package via pip, 2) Configure your Airflow connection details, 3) Connect the MCP server to your LLM client (Claude, ChatGPT, or custom LLM), 4) Start issuing natural language commands to manage your workflows. Full setup documentation is available on the GitHub repository.
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