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MCP verified Apache-2.0 Self-run

Unsloth Mcp Server

mcp-scientiacapital-unsloth-mcp-server · by ScientiaCapital

MCP server for LLM fine-tuning with Unsloth. 33 tools, 180 tests, RunPod GPU integration. Fine-tune 2x faster with 80% less memory.

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Install

$ agentstack add mcp-scientiacapital-unsloth-mcp-server

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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.


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

| Component | Status | | --------------------- | -------------------------- | | MCP tools (33) | Working | | Test suite (180) | Passing | | RunPod pod management | Working | | Knowledge capture | Working | | Checkpoint management | Working | | GRPO training | Dtype compatibility issues | | SFT training | Environment-dependent |

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:

| Skill Area | What I Learned | | ----------------------------- | ------------------------------------------------------------------------------ | | Developer tooling | Built MCP server that developers actually use - learned API design for DX | | Cost optimization | Implemented budget tracking, alerts - understand unit economics of GPU compute | | Infrastructure automation | RunPod API integration - programmatic cloud GPU provisioning | | Testing discipline | 180 tests with Jest - shipping quality that earns trust | | Technical documentation | Writing docs that reduce support burden | | Product iteration | v2.0 → v2.3.0 based on real usage feedback |

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)

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.