Unsloth MCP Server

Example Use Cases

• 1

  Load and run large language models efficiently with 4-bit quantization and gradient checkpointing to save VRAM.

• 2

  Automate fine-tuning workflows (LoRA/QLoRA) with configurable training settings and dataset support for rapid experimentation.

• 3

  Generate text, export fine-tuned models to common deployment formats (GGUF, Hugging Face, etc.), or verify installation and supported models programmatically.

Description

This MCP server provides remote access to Unsloth's capabilities — including model loading (with 4-bit quantization), LoRA/QLoRA fine-tuning, text generation, model export, and installation checks. It enables much faster fine-tuning and drastically lower GPU memory usage compared to standard methods, while supporting extended context lengths. The server exposes convenience tools for common workflows (list models, load, finetune, generate, export) and is intended to integrate Unsloth into automated agent pipelines.