ML Lab MCP Server

Example Use Cases

• 1

  Manage and automate ML model training and fine-tuning workflows across local, cloud, and remote VPS environments.

• 2

  Secure credential management and cost-efficient GPU provisioning with multi-provider support.

• 3

  Integrated experiment tracking, dataset management, and advanced analysis with seamless deployment to Ollama and Open WebUI.

Description

ML Lab MCP provides a unified environment to handle credential management, dataset registration, experiment tracking, multi-backend training, and cloud GPU provisioning. It supports local and remote training, integrates with popular fine-tuning APIs and model hubs, and offers advanced features like cost estimation, Ollama and Open WebUI integration, and deep analysis tools. The server enhances productivity by automating environment setup, secure credential handling, and providing a rich CLI toolset for ML engineering workflows.