Airflow + TypingMind: Complete MCP Integration

Airflow is a MCP server that A MCP Server that connects to Apache Airflow using official python client..

When integrated with TypingMind, 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 TypingMind, 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 TypingMind
• 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
• TypingMind installed and configured
• Compatible operating system (Web App, Desktop App)

Installation

Step 1: Install Airflow

Configuration

Step 2: Configure TypingMind

1. Open TypingMind 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 TypingMind:

Pipeline Monitoring

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Ask TypingMind: "Check status of all DAGs and recent failures"

Expected Result: undefined

Manual DAG Execution

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Ask TypingMind: "Trigger monthly_report DAG with date parameter"

Expected Result: undefined

Troubleshooting Failed Tasks

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

Expected Result: undefined

Testing Your Setup

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

Troubleshooting

Common Issues

Connection Failed

Symptoms: Red status indicator, Connector not found

Cause: Connector not running or port blocked

Solution:

• Keep the terminal window with the npx command open
• Check if port 50880 is available
• Verify the token matches

Airflow not appearing in TypingMind

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

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

Next Steps

Now that Airflow is integrated with TypingMind:

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

Need Help?

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