Airflow + Daydreams Agents: Complete MCP Integration
Airflow is a MCP server that A MCP Server that connects to Apache Airflow using official python client..
When integrated with Daydreams Agents, 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 Daydreams Agents, 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 Daydreams Agents
- 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
- Daydreams Agents installed and configured
- Compatible operating system (Web Platform, API Access)
Installation
Step 1: Install Airflow
Configuration
Step 2: Configure Daydreams Agents
- Open Daydreams Agents 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 Daydreams Agents:
Pipeline Monitoring
undefined
Ask Daydreams Agents: "Check status of all DAGs and recent failures"
Expected Result: undefined
Manual DAG Execution
undefined
Ask Daydreams Agents: "Trigger monthly_report DAG with date parameter"
Expected Result: undefined
Troubleshooting Failed Tasks
undefined
Ask Daydreams Agents: "Show failed tasks in data_pipeline and their error logs"
Expected Result: undefined
Testing Your Setup
- Launch Daydreams Agents
- Verify Airflow is available in the tools list
- Test basic Airflow functionality
Troubleshooting
Common Issues
Platform Access Issues
Symptoms: Cannot log in, Dashboard not loading
Cause: Account or browser issues
Solution:
- Verify account credentials and status
- Try different browser or clear cache
- Check internet connectivity
- Contact Daydreams support for account issues
MCP Server Connection Failed
Symptoms: Server not connecting, Connection timeout
Cause: Server configuration or network issues
Solution:
- Verify server endpoint URL is correct
- Check server authentication configuration
- Ensure server is running and accessible
- Test server connectivity from other tools
Agent Not Using MCP Tools
Symptoms: Agent running but not using tools, Limited capabilities
Cause: Agent configuration or tool assignment issues
Solution:
- Verify tools are properly assigned to agent
- Check agent configuration and permissions
- Review agent behavior and trigger conditions
- Test with simpler tool usage scenarios
Airflow not appearing in Daydreams Agents
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check Airflow installation
- Restart Daydreams Agents
- Check logs for error messages
Next Steps
Now that Airflow is integrated with Daydreams Agents:
- Explore all Airflow capabilities through Daydreams Agents
- Check out other MCP servers that work with Daydreams Agents
- Join the MCP community for tips and support
- Consider contributing to Airflow development
Need Help?
- Search for Airflow documentation
- Check the Daydreams Agents MCP guide
- Join the MCP community discussions