What is AirTrack?
AirTrack is a Model Context Protocol (MCP) server for Apache Airflow that enables standardized access to Directed Acyclic Graph (DAG) metadata, run status, and task insights, facilitating seamless integration with MCP clients for monitoring and automation.
How to use AirTrack?
To use AirTrack, set up the Airflow environment using Docker, and run the MPC server by following the provided instructions in the project documentation. Ensure both services are running for full functionality.
Key features of AirTrack?
- Standardized access to Airflow's REST API through MCP.
- Integration with various MCP clients for enhanced monitoring.
- Future development plans for live updates, security enhancements, and AI troubleshooting.
Use cases of AirTrack?
- Monitoring Airflow DAGs and task statuses through a unified interface.
- Automating workflows that require interaction between Airflow and other applications.
- Enhancing Airflow's capabilities with real-time updates and analytics.
FAQ from AirTrack?
- What is the purpose of AirTrack?
AirTrack serves to standardize interactions with Apache Airflow, making it easier to monitor and automate workflows.
- How do I install AirTrack?
Follow the installation instructions in the project documentation, which includes setting up Docker and the MPC application.
- Is AirTrack compatible with all versions of Airflow?
AirTrack is designed to work with the official Apache Airflow client library, ensuring compatibility with supported versions.