yangkyeongmo/mcp-server-apache-airflow
🔌 MCP Serveryangkyeongmo
Connect your AI agents to Apache Airflow workflows via the Model Context Protocol.
This MCP server acts as a bridge between LLM-based agents and Apache Airflow, the industry-standard platform for programmatically authoring, scheduling, and monitoring workflows. By implementing the Model Context Protocol, it exposes Airflow's robust API capabilities to AI models, allowing them to perform complex orchestration tasks. Key features include the ability to list DAGs, trigger new workflow runs, and query the status of existing tasks directly from an MCP-compliant client. This integration is particularly useful for developers looking to build autonomous agents capable of managing data pipelines, triggering ETL jobs, or responding to system events by executing predefined Airflow workflows. The server is built to be lightweight and modular, ensuring compatibility with various MCP-enabled environments.
💡Highlights
- ├─Native Apache Airflow API integration
- ├─Trigger DAGs via natural language
- └─Real-time workflow status monitoring
🎯For
- ├─Data Engineers
- └─AI Automation Developers