mlflow-integration
This plugin provides Claude with MLflow expertise to set up production tracking servers, manage the model registry with stage transitions and aliases, define reproducible MLproject pipelines, register custom pyfunc models, and automate CI/CD deployments to Docker and SageMaker via webhooks. It includes an MLflow engineer agent, code pattern skills for server setup through model serving, and commands for tracking, registration, promotion, and deployment workflows.
Install
Source: https://github.com/Ormus-Solutions/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.
Is this your plugin?
Claim it to keep the card accurate and enter the weekly contest. Requires signing in as the GitHub owner (Ormus-Solutions).