Airflow + Toolprint: Complete MCP Integration
Airflow is a MCP server that A MCP Server that connects to Apache Airflow using official python client..
When integrated with Toolprint, 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 Toolprint, 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 Toolprint
- 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
- Toolprint installed and configured
- Compatible operating system (Cross-Platform)
Installation
Step 1: Install Airflow
Configuration
Step 2: Configure Toolprint
- Open Toolprint 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 Toolprint:
Pipeline Monitoring
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Ask Toolprint: "Check status of all DAGs and recent failures"
Expected Result: undefined
Manual DAG Execution
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Ask Toolprint: "Trigger monthly_report DAG with date parameter"
Expected Result: undefined
Troubleshooting Failed Tasks
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Ask Toolprint: "Show failed tasks in data_pipeline and their error logs"
Expected Result: undefined
Testing Your Setup
- Launch Toolprint
- Verify Airflow is available in the tools list
- Test basic Airflow functionality
Troubleshooting
Common Issues
CLI Authentication Failed
Symptoms: Login prompt fails, Unable to authenticate
Cause: Network or credential issues
Solution:
- Check internet connection
- Verify account credentials
- Try clearing authentication cache
- Contact Toolprint support if issues persist
MCP Server Not Starting
Symptoms: Port 7001 not accessible, Server startup fails
Cause: Port conflict or Node.js issues
Solution:
- Check if port 7001 is already in use
- Verify Node.js installation and version
- Try restarting the CLI command
- Check system firewall settings
Tool Selection Not Working
Symptoms: search_tools returns no results, Tool recommendations missing
Cause: Configuration or service connectivity issues
Solution:
- Verify internet connection for tool discovery
- Check Toolprint service status
- Restart MCP server: toolprint mcp
- Verify MCP client configuration
Airflow not appearing in Toolprint
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check Airflow installation
- Restart Toolprint
- Check logs for error messages
Next Steps
Now that Airflow is integrated with Toolprint:
- Explore all Airflow capabilities through Toolprint
- Check out other MCP servers that work with Toolprint
- Join the MCP community for tips and support
- Consider contributing to Airflow development
Need Help?
- Search for Airflow documentation
- Check the Toolprint MCP guide
- Join the MCP community discussions