Airflow + Cursor: Complete MCP Integration
Airflow is a MCP server that A MCP Server that connects to Apache Airflow using official python client..
When integrated with Cursor, 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 Cursor, 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 Cursor
- 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
- Cursor installed and configured
- Compatible operating system (Windows, macOS, Linux)
Installation
Step 1: Install Airflow
Configuration
Step 2: Configure Cursor
- Open Cursor 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 Cursor:
Pipeline Monitoring
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Ask Cursor: "Check status of all DAGs and recent failures"
Expected Result: undefined
Manual DAG Execution
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Ask Cursor: "Trigger monthly_report DAG with date parameter"
Expected Result: undefined
Troubleshooting Failed Tasks
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Ask Cursor: "Show failed tasks in data_pipeline and their error logs"
Expected Result: undefined
Testing Your Setup
- Launch Cursor
- Verify Airflow is available in the tools list
- Test basic Airflow functionality
Troubleshooting
Common Issues
Installation Problems
Symptoms: Cursor fails to install, Application won't start
Cause: System requirements not met or corrupted download
Solution:
- Check minimum system requirements
- Re-download installer from official website
- Run installer as administrator (Windows)
- Check available disk space and permissions
MCP Settings Not Found
Symptoms: No MCP option in settings, Missing configuration section
Cause: Feature not available in current Cursor version
Solution:
- Update Cursor to latest version
- Check if MCP support is enabled in your subscription
- Look for "Extensions" or "Integrations" section instead
- Contact Cursor support for feature availability
Server Configuration Fails
Symptoms: Settings not saving, Configuration errors
Cause: Invalid server path or configuration parameters
Solution:
- Verify server executable path is correct
- Check server installation and permissions
- Use absolute paths instead of relative paths
- Test server command from system terminal first
AI Assistant Not Using MCP Tools
Symptoms: Tools available but AI not using them, Limited functionality
Cause: AI assistant not properly configured for MCP integration
Solution:
- Restart Cursor after configuration changes
- Check AI assistant settings for tool permissions
- Verify MCP server is running and responding
- Try explicitly asking AI to use specific tools
Airflow not appearing in Cursor
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check Airflow installation
- Restart Cursor
- Check logs for error messages
Next Steps
Now that Airflow is integrated with Cursor:
- Explore all Airflow capabilities through Cursor
- Check out other MCP servers that work with Cursor
- Join the MCP community for tips and support
- Consider contributing to Airflow development
Need Help?
- Search for Airflow documentation
- Check the Cursor MCP guide
- Join the MCP community discussions