Airflow + AgenticFlow: Complete MCP Integration
Airflow is a MCP server that A MCP Server that connects to Apache Airflow using official python client..
When integrated with AgenticFlow, 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 AgenticFlow, 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 AgenticFlow
- 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
- AgenticFlow installed and configured
- Compatible operating system (Web Platform, Mobile Support)
Installation
Step 1: Install Airflow
Configuration
Step 2: Configure AgenticFlow
- Open AgenticFlow 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 AgenticFlow:
Pipeline Monitoring
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Ask AgenticFlow: "Check status of all DAGs and recent failures"
Expected Result: undefined
Manual DAG Execution
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Ask AgenticFlow: "Trigger monthly_report DAG with date parameter"
Expected Result: undefined
Troubleshooting Failed Tasks
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Ask AgenticFlow: "Show failed tasks in data_pipeline and their error logs"
Expected Result: undefined
Testing Your Setup
- Launch AgenticFlow
- Verify Airflow is available in the tools list
- Test basic Airflow functionality
Troubleshooting
Common Issues
Server Connection Failed
Symptoms: Red connection indicator, Server unreachable errors
Cause: Network connectivity or server configuration issues
Solution:
- Verify server endpoint URL is correct
- Check server authentication credentials
- Ensure server is running and accessible
- Review firewall and network settings
Tools Not Available
Symptoms: MCP tools not showing in workflow builder, Empty tools list
Cause: Server connection successful but tool discovery failed
Solution:
- Verify MCP server is properly configured
- Check server tool definitions and schemas
- Refresh connection in AgenticFlow dashboard
- Review server logs for tool registration errors
Workflow Execution Errors
Symptoms: Automation fails during MCP tool calls, Runtime errors
Cause: Tool parameter issues or server-side errors
Solution:
- Validate tool parameters in workflow editor
- Check required vs optional parameters
- Review execution logs for specific error messages
- Test MCP server independently outside AgenticFlow
Authentication Failures
Symptoms: Auth errors in logs, Unauthorized access messages
Cause: Incorrect authentication configuration
Solution:
- Verify API keys and tokens are correct
- Check authentication method matches server requirements
- Ensure credentials have necessary permissions
- Update expired authentication tokens
Airflow not appearing in AgenticFlow
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check Airflow installation
- Restart AgenticFlow
- Check logs for error messages
Next Steps
Now that Airflow is integrated with AgenticFlow:
- Explore all Airflow capabilities through AgenticFlow
- Check out other MCP servers that work with AgenticFlow
- Join the MCP community for tips and support
- Consider contributing to Airflow development
Need Help?
- Search for Airflow documentation
- Check the AgenticFlow MCP guide
- Join the MCP community discussions