beginner⏱️ 18-28 minutes📅 Updated June 2026

Step-by-step guide to integrate Airflow MCP server with GenAIScript. Includes list_dags and trigger_dag.

Airflow + GenAIScript: Complete MCP Integration

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

When integrated with GenAIScript, 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 GenAIScript, 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 GenAIScript
  • 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
  • GenAIScript installed and configured
  • Compatible operating system (Windows, macOS, Linux, VS Code)

Installation

Step 1: Install Airflow

Configuration

Step 2: Configure GenAIScript

  1. Open GenAIScript 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 GenAIScript:

Pipeline Monitoring

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

Expected Result: undefined

Manual DAG Execution

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Ask GenAIScript: "Trigger monthly_report DAG with date parameter"

Expected Result: undefined

Troubleshooting Failed Tasks

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

Expected Result: undefined

Testing Your Setup

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

Troubleshooting

Common Issues

GenAIScript Installation Failed

Symptoms: npm install errors, Command not found

Cause: Node.js version or npm configuration issues

Solution:

  • Verify Node.js 18+ is installed
  • Check npm global installation permissions
  • Try using yarn instead of npm
  • Clear npm cache and retry installation

MCP Server Not Found

Symptoms: Server not available in scripts, Connection errors

Cause: Server configuration or PATH issues

Solution:

  • Verify server is properly installed
  • Check genaiscript.config.ts configuration
  • Use absolute path to server executable
  • Test server independently first

Script Execution Fails

Symptoms: Runtime errors, Tool execution failures

Cause: Script syntax or MCP integration issues

Solution:

  • Check TypeScript syntax and imports
  • Verify MCP server is responding
  • Use --debug flag for detailed logging
  • Test with simpler script first

VS Code Extension Issues

Symptoms: Extension not working, No intellisense

Cause: Extension installation or configuration problems

Solution:

  • Verify extension is properly installed
  • Reload VS Code window
  • Check workspace is GenAIScript project
  • Update extension to latest version

Airflow not appearing in GenAIScript

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

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

Next Steps

Now that Airflow is integrated with GenAIScript:

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

Need Help?

Related Resources

More Integrations

Explore other MCP servers that work with GenAIScript

Need Help?

Join the MCP community for support and discussions

Airflow + GenAIScript: MCP Setup Guide (2026)