Unsloth MCP Server

33 MCP tools for LLM fine-tuning via Claude. 180 tests passing. Integrates Unsloth (2x faster, 80% less memory) with RunPod GPU management.

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What It Does

• 33 MCP tools for model fine-tuning, tokenizer training, GPU management
• RunPod integration - create, start, stop pods programmatically
• Knowledge capture pipeline - OCR, AI enhancement, training data generation
• Checkpoint management - save/load/resume training sessions
• Cost tracking - budgets, alerts, expense reporting

Goals

Enable Claude to orchestrate LLM fine-tuning workflows without manual Python scripting.

Quick Start

cd unsloth-mcp-server
npm install && npm run build
npm test  # 180 tests passing

Add to Claude Code MCP settings:

{
  "mcpServers": {
    "unsloth-server": {
      "command": "node",
      "args": ["/path/to/build/index.js"]
    }
  }
}

Current Status

Known Issues

• GRPO: Dtype mismatches in some configurations
• Requires Python 3.10-3.12 (not 3.13)
• GPU required for fine-tuning

GTME Skills Developed

Building toward Go-To-Market Engineer through hands-on projects:

Tech Stack

Node.js/TypeScript, MCP SDK, Python/Unsloth, Jest, RunPod API

Requirements

• Node.js 18+
• Python 3.10-3.12
• NVIDIA GPU with CUDA (for training)