# mdl-train-mcp

> Use this tool when you need to monitor and manage long-running GPU training jobs for Large Language Models (LLMs) on Modal, reducing log output overload. It provides a centralized server for tracking training job progress, allowing for efficient management and minimized downtime. Ideal for use cases involving extensive GPU training, this tool streamlines the training process and optimizes resource utilization.

Canonical page: https://skillsregistry.net/skills/joshuasp-mdl-train-mcp  
JSON: https://api.skillsregistry.net/v1/skills/joshuasp-mdl-train-mcp

## Description

An MCP server for monitoring and managing training jobs on Modal. Built for LLMs that need to check on long-running GPU training without drowning in log output.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m6zidcq6vk)
- **Repository:** <https://github.com/JoshuaSP/mdl-train-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": "joshuasp-mdl-train-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/joshuasp-mdl-train-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/joshuasp-mdl-train-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