About Scheduler Migration Toolkit MCP Server
Scheduler Migration Toolkit MCP Server is an MCP server published by gopalsab in the Developer Tools category: mCP server: Scheduler Migration Toolkit MCP Server.
Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/gopalsab/scheduler-migration-toolkit-mcp-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
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 DAGsvalidate_dag- Validate generated DAG syntax
License
MIT License
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.