Airflow + Theia 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 Theia 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 Theia 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 Theia 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
• Theia AI installed and configured
• Compatible operating system (Theia IDE, Custom Apps)

Installation

Step 1: Install Airflow

Configuration

Step 2: Configure Theia AI

1. Open Theia AI settings
2. Navigate to MCP server configuration
3. Add Airflow server with appropriate settings
4. Save and restart if needed

Examples

Once configured, you can use Airflow in Theia AI:

Pipeline Monitoring

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Ask Theia AI: "Check status of all DAGs and recent failures"

Expected Result: undefined

Manual DAG Execution

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Ask Theia AI: "Trigger monthly_report DAG with date parameter"

Expected Result: undefined

Troubleshooting Failed Tasks

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Ask Theia AI: "Show failed tasks in data_pipeline and their error logs"

Expected Result: undefined

Testing Your Setup

1. Launch Theia AI
2. Verify Airflow is available in the tools list
3. Test basic Airflow functionality

Troubleshooting

Common Issues

Server Launch Failed

Symptoms: AI cannot access external context

Cause: Command not found in PATH

Solution:

• Ensure tools like uvx, npm, or python are in the environment PATH where Theia is launched

Airflow not appearing in Theia AI

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

• Verify configuration syntax
• Check Airflow installation
• Restart Theia AI
• Check logs for error messages

Next Steps

Now that Airflow is integrated with Theia AI:

• Explore all Airflow capabilities through Theia AI
• Check out other MCP servers that work with Theia AI
• Join the MCP community for tips and support
• Consider contributing to Airflow development

Need Help?

• Search for Airflow documentation
• Check the Theia AI MCP guide
• Join the MCP community discussions