# ML Lab MCP

> Use this tool when you need to transform AI assistants into a full ML engineering environment for training and fine-tuning models across multiple backends and cloud providers. It solves problems related to dataset management, experiment tracking, and cost estimation, providing a seamless interface for inputs such as datasets and models, and outputs including trained models and deployment options. Ideal for use cases requiring flexible and scalable ML model development, deployment, and management.

Canonical page: https://skillsregistry.net/skills/pushpullcommitpush-ml-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pushpullcommitpush-ml-mcp

## Description

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.

## Trust

- **Trust score (0–1):** 0.19
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zpcpw3ss2y)
- **Repository:** <https://github.com/PushPullCommitPush/ml-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pushpullcommitpush-ml-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pushpullcommitpush-ml-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pushpullcommitpush-ml-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt