call518/MCP-Airflow-API
🔍Model Context Protocol (MCP) server for Apache Airflow API integration. Provides comprehensive tools for managing Airflow clusters including service operations, configuration management, status monitoring, and request tracking.
This project helps data engineers, MLOps engineers, and data platform managers interact with their Apache Airflow clusters using natural language commands instead of complex API calls or web interfaces. You can input questions like "Show me the currently running DAGs" and receive real-time status and control over your Airflow workflows and tasks. It simplifies operations for anyone managing data pipelines or machine learning workflows in Airflow.
Use this if you manage Apache Airflow clusters and want to control, monitor, and troubleshoot your DAGs and tasks using simple, natural language prompts rather than writing code or navigating complex UIs.
Not ideal if you are comfortable with Airflow's REST API, prefer programmatic control, or do not use large language models for operational tasks.
Stars
44
Forks
13
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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