Traintools MCP
A local, read-only MCP server providing agent-ready PyTorch training diagnostics. It exposes tools for gradient health monitoring, gradient noise scale analysis, batch inspection, data quality checks, plasticity probing, and early stopping recommendations to help debug and optimize deep learning training runs.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
What you can do with it
- Diagnose gradient health issues like vanishing or exploding gradients
- Check if batch size is wasting compute using Gradient Noise Scale
- Inspect batches for imbalance, errors, or scale issues
- Determine if training should stop early based on plasticity probes
Source and maintenance
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
traintools 0.6.2
{
"version": "0.6.2",
"transport": "stdio",
"identifier": "traintools",
"runtimeHint": "uvx",
"registryType": "pypi",
"packageArguments": [
{
"type": "positional",
"value": "mcp"
}
],
"runtimeArguments": [
{
"name": "--with",
"type": "named",
"value": "mcp"
}
]
}Tools
Reported by the attributed source; not independently observed by Koskamo.
Connect from your client
Each snippet configures the same source-provided package; replace placeholders before use.
Cursor
{
"mcpServers": {
"traintools-mcp": {
"command": "uvx",
"args": [
"traintools==0.6.2",
"mcp"
]
}
}
}Cline
{
"mcpServers": {
"traintools-mcp": {
"command": "uvx",
"args": [
"traintools==0.6.2",
"mcp"
]
}
}
}VS Code
{
"servers": {
"traintools-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"traintools==0.6.2",
"mcp"
]
}
}
}Claude Desktop
{
"mcpServers": {
"traintools-mcp": {
"command": "uvx",
"args": [
"traintools==0.6.2",
"mcp"
]
}
}
}Let your agent find its tools
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