Airflow + Glama: Complete MCP Integration
Airflow is a MCP server that A MCP Server that connects to Apache Airflow using official python client..
When integrated with Glama, you can:
- List all available DAGs in Airflow
- Manually trigger a DAG run
- Get DAG run history and status
This guide provides step-by-step instructions to set up Airflow in Glama, including configuration, examples, and troubleshooting.
What You'll Achieve
After completing this setup:
- Airflow will be fully integrated and operational
- You can use Airflow tools directly in Glama
- All Airflow capabilities will be available for your workflows
- Access to 5 different tools
Prerequisites
Before starting, ensure you have:
- Airflow webserver host URL
- Airflow authentication username
- Airflow authentication password
- Glama installed and configured
- Compatible operating system (Web Platform, API Access)
Installation
Step 1: Install Airflow
Configuration
Step 2: Configure Glama
- Open Glama settings
- Navigate to MCP server configuration
- Add Airflow server with appropriate settings
- Save and restart if needed
Examples
Once configured, you can use Airflow in Glama:
Pipeline Monitoring
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Ask Glama: "Check status of all DAGs and recent failures"
Expected Result: undefined
Manual DAG Execution
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Ask Glama: "Trigger monthly_report DAG with date parameter"
Expected Result: undefined
Troubleshooting Failed Tasks
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Ask Glama: "Show failed tasks in data_pipeline and their error logs"
Expected Result: undefined
Testing Your Setup
- Launch Glama
- Verify Airflow is available in the tools list
- Test basic Airflow functionality
Troubleshooting
Common Issues
Server Not Found
Symptoms: No search results, Missing from directory
Cause: Server not yet listed or incorrect search terms
Solution:
- Try alternative search terms or categories
- Check if server is community-contributed
- Submit server for inclusion in directory
- Use general MCP integration guides
Outdated Integration Guide
Symptoms: Instructions don't work, Old client versions
Cause: Documentation needs updating
Solution:
- Check for community updates or corrections
- Adapt instructions for current client versions
- Contribute updated documentation
- Ask community for current best practices
Community Support Needed
Symptoms: Complex integration issues, Custom requirements
Cause: Advanced or unique integration scenario
Solution:
- Post questions in community forums
- Share specific error messages and logs
- Connect with other users of same server
- Consider contributing solutions back to community
Airflow not appearing in Glama
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check Airflow installation
- Restart Glama
- Check logs for error messages
Next Steps
Now that Airflow is integrated with Glama:
- Explore all Airflow capabilities through Glama
- Check out other MCP servers that work with Glama
- Join the MCP community for tips and support
- Consider contributing to Airflow development
Need Help?
- Search for Airflow documentation
- Check the Glama MCP guide
- Join the MCP community discussions