# mcp-ml-toolkit

> mcp-ml-toolkit — wzx11223344-mcp-ml-toolkit. Use this tool when you need to leverage machine learning capabilities for tasks like classification, regression, clustering, dimensionality reduction, model evaluation, and data preprocessing. The mcp-ml-toolkit provides 30 tools built on FastMCP and scikit-learn, offering a comprehensive interface for inputting datasets and outputting trained models and evaluated results. It is ideal for data scientists and analysts seeking to streamline their machine learning workflows and solve complex data-driven problems.

Canonical page: https://skillsregistry.net/skills/wzx11223344-mcp-ml-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/wzx11223344-mcp-ml-toolkit

## Description

基于FastMCP和scikit-learn构建的机器学习MCP服务器，提供30个工具覆盖分类、回归、聚类、降维、模型评估和数据预处理。

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ulzxcqxuff)
- **Repository:** <https://github.com/wzx11223344/mcp-ml-toolkit>

## 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": "wzx11223344-mcp-ml-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wzx11223344-mcp-ml-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wzx11223344-mcp-ml-toolkit/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