# MFlowy

> MFlowy — ifoodsci-ai-mflowy. Use this tool when you need to streamline machine learning workflows, automate data analysis, and train models efficiently. MFlowy solves problems related to data processing, model development, and workflow orchestration, providing a modular engine for seamless integration. It takes in data and model configurations as inputs and outputs trained models and analysis results, ideal for use cases requiring scalable and reproducible ML workflows.

Canonical page: https://skillsregistry.net/skills/ifoodsci-ai-mflowy  
JSON: https://api.skillsregistry.net/v1/skills/ifoodsci-ai-mflowy

## Description

Enables users to interact with MFlowy, an MCP-native modular ML workflow engine with data analysis, model training, and orchestration.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vg5qg1haf0)
- **Repository:** <https://github.com/ifoodsci-ai/mflowy>

## 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": "ifoodsci-ai-mflowy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ifoodsci-ai-mflowy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ifoodsci-ai-mflowy/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