# ML MCP Server

> ML MCP Server — pktcopilot2-ml-mcp. Use this tool when you need to train and deploy machine learning models on local or distributed datasets for tasks like forecasting, regression, and classification. It solves problems related to predictive analytics, data-driven decision making, and anomaly detection by supporting the training and usage of ML models on CSV datasets. The ML MCP Server takes in local CSV data or data from other MCP servers as input and outputs trained models for various machine learning tasks.

Canonical page: https://skillsregistry.net/skills/pktcopilot2-ml-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pktcopilot2-ml-mcp

## Description

Enables training and using machine learning models on local CSV datasets or data from other MCP servers, supporting tasks like forecasting, regression, classification, and anomaly detection.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bfjf71nxct)
- **Repository:** <https://github.com/pktcopilot2/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": "pktcopilot2-ml-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pktcopilot2-ml-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pktcopilot2-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