# WarpGBM MCP Service

> Use this tool when you need to accelerate gradient boosting model training and inference with GPU acceleration. It solves problems of slow model training and prediction times, enabling fast and scalable AI model development. The service takes in training data and model parameters as input and outputs trained models and predictions, ideal for use cases requiring rapid model deployment and inference.

Canonical page: https://skillsregistry.net/skills/jefferythewind-warpgbm-mcp-service  
JSON: https://api.skillsregistry.net/v1/skills/jefferythewind-warpgbm-mcp-service

## Description

Provides GPU-accelerated gradient boosting model training and inference through a cloud service. Enables AI agents to train models on NVIDIA A10G GPUs and get fast cached predictions with portable model artifacts.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vonsigrjr4)
- **Repository:** <https://github.com/jefferythewind/warpgbm-mcp-service>

## 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": "jefferythewind-warpgbm-mcp-service"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jefferythewind-warpgbm-mcp-service` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jefferythewind-warpgbm-mcp-service/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