Transforms AI assistants into a full ML engineering environment for training and fine-tuning models across multiple backends (local GPU, Mistral, Together AI, OpenAI) and cloud providers (Lambda Labs, RunPod, SSH-accessible VPS), with dataset management, experiment tracking, cost estimation, and deployment to Ollama/Open WebUI.
Not monetized yet
Turn ML Lab MCP’s tool calls into revenue: one disclosed sponsored slot, 70% revenue share, fail-open by design.
Install ML Lab MCP
For anyone using ML Lab MCP — no Lulu account needed# stdio server — install per the repository README: https://github.com/pushpullcommitpush/ml-mcp
9 field-tested tactics as a designed playbook plus skills your coding agent can run. Free.
Get the Kit →FAQ
ML Lab MCP installs from source — follow the repository README.
Unrated out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
Similar servers
Works well together
Your server?
This is for the person who owns ML Lab MCP — adds Lulu Ads to your own code. Not the install steps above, those are for your users.
Copies a ready prompt: your coding agent installs the lulu-ads SDK, wires the slot, and applies the widget design guide.
or set up manually at getlulu.dev/publishers
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Managed hosting with monetization built in — waitlist.
[](https://getlulu.dev/mcps/ml-lab-mcp)