mlflow-integration
This plugin provides a complete MLflow operational stack through an agent and skills, covering server setup with PostgreSQL and S3 backends, model registry stage transitions, MLproject definitions, custom Python function flavors, and model serving to Docker or SageMaker endpoints. It includes commands for tracking, registering, serving, and promoting models, plus webhook automation for CI/CD-triggered deployments.
Install
Source: https://github.com/HermeticOrmus/LibreMLOps-Claude-Code/tree/HEAD/plugins/mlflow-integration
What it's made of
1 command · 1 agent · 1 skill
- Commands
- 1
- Agents
- 1
- Skills
- 1
- MCP servers
- 0
- Hooks
- 0
What it needs & plugs into
- API keys
- none
- Paid services
- none detected
- External tools
- none
- Talks to
- nothing external detected
Analyzed . Facts extracted from the plugin's files. Prose generated by claude-haiku-4-5-20251001.
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