cerebrixos-org/tuning-engines-cli

Overview

A CLI and MCP (Model Context Protocol) server for fine-tuning large language models on code repositories. It provides commands to prepare and run tuning jobs directly from a terminal or through MCP integration.

Best for

Best for
Developers who need to fine-tune LLMs on their own code repositories and want a CLI or MCP-based tool to manage the process.

Use cases

• Fine-tune an LLM on a private codebase for better code completion
• Set up an MCP server to manage tuning workflows programmatically
• Automate model retraining when repository source code changes

Notes

A CLI and MCP (Model Context Protocol) server for fine-tuning large language models on code repositories. It provides commands to prepare and run tuning jobs directly from a terminal or through MCP integration.

2 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

• Fine-tune an LLM on a private codebase for better code completion
• Set up an MCP server to manage tuning workflows programmatically
• Automate model retraining when repository source code changes

Pros

• Offers both CLI and MCP interfaces for flexible workflow automation
• Targets code-specific fine-tuning, which can improve performance on domain tasks
• Written in TypeScript, making it approachable for JavaScript/TypeScript developers

Cons

• Very low adoption (2 stars) suggests limited community support and testing
• Likely sparse documentation and example workflows
• Requires prior understanding of LLM fine-tuning concepts and infrastructure

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.