PyOrchestrator is a platform for building, scheduling, running, and monitoring Python automation in a Docker Compose environment. It includes a web interface, REST API, scheduler, isolated runtime, observability, and an MCP server for AI agents.
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Docker Compose isolation for Python jobs is something I've hacked together myself too many times. Curious how the MCP server side plays with scheduling, that's a combo I haven't seen elsewhere.
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Spun up a few scheduled scripts this afternoon and was surprised how clean the monitoring view is, everything runs in isolated containers without me touching a single compose file. The MCP server angle is a nice touch too.
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would love to see a way to chain tasks together visually, like a simple DAG view where you can drag connections between steps and it handles dependencies automatically. kind of like airflow but lighter
Docker Compose isolation for Python jobs is something I've hacked together myself too many times. Curious how the MCP server side plays with scheduling, that's a combo I haven't seen elsewhere.
Spun up a few scheduled scripts this afternoon and was surprised how clean the monitoring view is, everything runs in isolated containers without me touching a single compose file. The MCP server angle is a nice touch too.
would love to see a way to chain tasks together visually, like a simple DAG view where you can drag connections between steps and it handles dependencies automatically. kind of like airflow but lighter