MCP Servers
cerebrixos-org/tuning-engines-cli
CLI & MCP server for Tuning Engines — fine-tune LLMs on code repositories
Our verdict
We have not reviewed cerebrixos-org/tuning-engines-cli yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About cerebrixos-org/tuning-engines-cli
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
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
2 stars on GitHub. Last updated 2026-06-01. Licensed MIT.
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
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Install
npx -y --package tuningengines-cli@latest te auth statusTools exposed
create_jobestimate_joblist_jobsshow_jobjob_statuscancel_jobretry_joblist_modelsshow_modeldelete_modelmodel_statuslist_supported_modelslist_catalog_modelsget_catalog_modelcatalog_export_statuslist_datasetsshow_datasetcreate_datasetdelete_datasetdataset_status
Clients the listing names (not checked here)
Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, ChatGPT
Install
Add cerebrixos-org/tuning-engines-cli to your client
Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.
Claude Code
Config checkedRun in your terminal (runs on your computer)
claude mcp add --env TE_API_KEY=YOUR_TE_API_KEY --transport stdio tuning-engines -- npx -y tuningengines-cli@0.4.34 mcp serveNeeds TE_API_KEY: replace each YOUR_ value with your own.
Claude Desktop
Config checkedAdd to claude_desktop_config.json (runs on your computer)
{
"mcpServers": {
"tuning-engines": {
"command": "npx",
"args": [
"-y",
"tuningengines-cli@0.4.34",
"mcp",
"serve"
],
"env": {
"TE_API_KEY": "YOUR_TE_API_KEY"
}
}
}
}Needs TE_API_KEY: replace each YOUR_ value with your own.
Cursor
Config checkedAdd to .cursor/mcp.json (runs on your computer)
{
"mcpServers": {
"tuning-engines": {
"command": "npx",
"args": [
"-y",
"tuningengines-cli@0.4.34",
"mcp",
"serve"
],
"env": {
"TE_API_KEY": "YOUR_TE_API_KEY"
}
}
}
}Needs TE_API_KEY: replace each YOUR_ value with your own.
VS Code
Config checkedAdd to .vscode/mcp.json (runs on your computer)
{
"inputs": [
{
"type": "promptString",
"id": "te-api-key",
"description": "Tuning Engines API key. Get one at https://tuningengines.com or by running 'te auth login'.",
"password": true
}
],
"servers": {
"tuning-engines": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"tuningengines-cli@0.4.34",
"mcp",
"serve"
],
"env": {
"TE_API_KEY": "${input:te-api-key}"
}
}
}
}Needs TE_API_KEY: replace each YOUR_ value with your own.
Codex
Config checkedAdd to ~/.codex/config.toml (runs on your computer)
[mcp_servers.tuning-engines]
command = "npx"
args = ["-y", "tuningengines-cli@0.4.34", "mcp", "serve"]
env_vars = ["TE_API_KEY"]Needs TE_API_KEY: replace each YOUR_ value with your own.
- ChatGPT: ChatGPT connects only to remote servers that need no API key.
Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.
Works with
What cerebrixos-org/tuning-engines-cli connects to
5 clients, each with how we know and when we checked.
| Works with | Type | How we know | Checked |
|---|---|---|---|
| Claude Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.4.34Config checked | Claude Code docs |
| Claude Desktop | Client | Install recipe matches the client's documented formatRuns locally, version 0.4.34Config checked | Claude Desktop docs |
| Cursor | Client | Install recipe matches the client's documented formatRuns locally, version 0.4.34Config checked | Cursor docs |
| VS Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.4.34Config checked | VS Code docs |
| Codex | Client | Install recipe matches the client's documented formatRuns locally, version 0.4.34Config checked | Codex docs |
Sources
Where this comes from
No sources recorded yet. Each source we check is listed here with the date we checked it.
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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