Airflow + Claude.ai: Complete MCP Integration
Airflow is a MCP server that A MCP Server that connects to Apache Airflow using official python client..
When integrated with Claude.ai, 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 Claude.ai, 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 Claude.ai
- 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
- Claude.ai installed and configured
- Compatible operating system (Web Browser)
Installation
Step 1: Install Airflow
Configuration
Step 2: Configure Claude.ai
- Open Claude.ai 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 Claude.ai:
Pipeline Monitoring
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Ask Claude.ai: "Check status of all DAGs and recent failures"
Expected Result: undefined
Manual DAG Execution
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Ask Claude.ai: "Trigger monthly_report DAG with date parameter"
Expected Result: undefined
Troubleshooting Failed Tasks
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Ask Claude.ai: "Show failed tasks in data_pipeline and their error logs"
Expected Result: undefined
Testing Your Setup
- Start a new conversation in Claude.ai
- Ask Claude.ai to list available tools
- Try using Airflow functionality
Test prompts:
- "What tools are available to me right now?"
- "Can you use Airflow to help me with {example_task}?"
- "Show me the capabilities from my connected MCP servers"
Troubleshooting
Common Issues
Cannot Find MCP Settings
Symptoms: No MCP option in settings, Integration menu missing
Cause: Feature may not be available in current web interface version
Solution:
- Check if your account has access to MCP features
- Try accessing from different browser or clearing cache
- Contact Anthropic support for account feature access
Server Connection Failed
Symptoms: Connection timeout, Server unreachable errors
Cause: Network connectivity or server configuration issues
Solution:
- Verify server URL is correct and accessible
- Check if server requires authentication
- Ensure server supports web client connections
- Test server connectivity from other clients
Tools Not Appearing
Symptoms: Server connected but no tools available, Empty tools list
Cause: Server connected but not properly exposing tools
Solution:
- Verify server is properly configured and running
- Check server logs for tool registration issues
- Refresh connection or reconnect to server
- Ensure server implements MCP protocol correctly
Airflow not appearing in Claude.ai
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check Airflow installation
- Restart Claude.ai
- Check logs for error messages
Next Steps
Now that Airflow is integrated with Claude.ai:
- Explore all Airflow capabilities through Claude.ai
- Check out other MCP servers that work with Claude.ai
- Join the MCP community for tips and support
- Consider contributing to Airflow development
Need Help?
- Search for Airflow documentation
- Check the Claude.ai MCP guide
- Join the MCP community discussions