abhishekbhakat/airflow-mcp-server

MCP Server for Apache Airflow

50
/ 100
Established

This project creates a Model Context Protocol (MCP) server that connects to Apache Airflow. It takes commands from an MCP client (like Claude Desktop) to interact with your Airflow setup via its API, allowing you to manage DAGs, tasks, and connections. This is useful for data engineers or operations teams who want to control and monitor their Airflow workflows using an MCP-compatible client.

No commits in the last 6 months. Available on PyPI.

Use this if you want to manage your Apache Airflow pipelines, tasks, and configurations from an MCP-compliant application.

Not ideal if you prefer to interact with Airflow solely through its native web UI or traditional API client libraries.

data-orchestration workflow-automation pipeline-management ETL-operations data-engineering
Stale 6m
Maintenance 2 / 25
Adoption 7 / 25
Maturity 25 / 25
Community 16 / 25

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Stars

31

Forks

7

Language

Python

License

MIT

Last pushed

Oct 14, 2025

Commits (30d)

0

Dependencies

6

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