Tuning Engines MCP server

This is a helper that connects your AI assistant to Tuning Engines, a service that trains open-source coding models on your own data. It is handy if you want a model that knows your codebase, your naming style, or your team's debugging habits, without learning any of the technical setup yourself. You just ask your AI in plain words, and it does the work through this connection.

What this MCP server does

You ask your AI something like "train a bug-fix model on my repo" or "how much would training cost?" Your AI passes that request to this helper. The helper talks to Tuning Engines, which picks the right training agent, starts or checks the job, and sends the answer back. Your AI then shows you the result in the chat, like a job status, a cost estimate, or a list of your models. You never have to type the technical commands yourself.

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What you can do with it

• Start a fine-tuning job on a GitHub repository
• Estimate the cost of a training run before you start
• Check the status of a training job while it runs
• List the models you have already trained
• Export a trained model to your own storage bucket
• Check your account balance and usage
• Pick the right training agent automatically based on what you ask

Try asking your AI

• “Fine-tune Qwen 7B on my-org/my-repo using the SIERA agent with high quality”
• “How much would it cost to train a 32B model for 3 epochs on this repo?”
• “Check the status of my latest training job”
• “List my trained models”

What it gives back to you

You get answers right in the chat: a cost estimate in dollars, a job ID with its current status, a list of your trained models, or a confirmation that an export finished. When a job is running, you can ask again and see updated progress. Everything is written in plain sentences, not raw technical output.

Before you start

Who it's for

Developers and technical teams who want a coding model tuned to their own repository but would rather ask their AI than run commands.