Scheduler Migration Toolkit

A generic Model Context Protocol (MCP) server for converting legacy scheduler scripts to Amazon Managed Apache Airflow (MWAA) DAGs.

Features

• Generic scheduler script conversion to Airflow DAGs
• Simple, extensible architecture
• MCP server integration for AI agents
• Sample agent implementation using Strands SDK

Installation

pip install scheduler-migration-toolkit

Usage

As MCP Server

Add to your MCP configuration:

{
  "mcpServers": {
    "scheduler-migration-toolkit": {
      "command": "python",
      "args": ["-m", "scheduler_migration_toolkit.server"],
      "disabled": false
    }
  }
}

Sample Agent

The included sample agent reads Control-M scripts from input/ folder and outputs converted DAGs to output/ folder:

python sample_agent.py

MCP Tools

• convert_scheduler_script - Convert scheduler scripts to Airflow DAGs
• validate_dag - Validate generated DAG syntax

License

MIT License