beginner⏱️ 18-28 minutes📅 Updated June 2026

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

Airflow + Sourcegraph Cody: Complete MCP Integration

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

When integrated with Sourcegraph Cody, 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 Sourcegraph Cody, 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 Sourcegraph Cody
  • 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
  • Sourcegraph Cody installed and configured
  • Compatible operating system (VS Code Extension, JetBrains Extension)

Installation

Step 1: Install Airflow

Configuration

Step 2: Configure Sourcegraph Cody

  1. Open Sourcegraph Cody 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 Sourcegraph Cody:

Pipeline Monitoring

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Ask Sourcegraph Cody: "Check status of all DAGs and recent failures"

Expected Result: undefined

Manual DAG Execution

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Ask Sourcegraph Cody: "Trigger monthly_report DAG with date parameter"

Expected Result: undefined

Troubleshooting Failed Tasks

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

Expected Result: undefined

Testing Your Setup

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

Troubleshooting

Common Issues

Tools Not Available

Symptoms: Cody does not see the connected tools

Cause: Incorrect config path or JSON syntax error

Solution:

  • Verify path is exactly ~/.config/cody/mcp_servers.json
  • Check JSON validity
  • Check Cody output logs in VS Code Output panel

Airflow not appearing in Sourcegraph Cody

Symptoms: Server not listed, Tools not available

Cause: Configuration or installation issue

Solution:

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

Next Steps

Now that Airflow is integrated with Sourcegraph Cody:

  • Explore all Airflow capabilities through Sourcegraph Cody
  • Check out other MCP servers that work with Sourcegraph Cody
  • 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 Sourcegraph Cody

Need Help?

Join the MCP community for support and discussions

Airflow + Sourcegraph Cody: MCP Setup Guide (2026)