# Agentic AutoML Data Scientist MCP

> Agentic AutoML Data Scientist MCP — harishrajan77-agentic-automl-mcp. Use this tool when you need to automate machine learning workflows, from data preparation to model deployment, and integrate with existing infrastructure for seamless file, compute, and database operations. It solves problems of manual model selection, hyperparameter tuning, and data processing, providing a streamlined interface for inputs like datasets and outputs like trained models. Ideal for data scientists and analysts looking to accelerate their workflow and improve model accuracy.

Canonical page: https://skillsregistry.net/skills/harishrajan77-agentic-automl-mcp  
JSON: https://api.skillsregistry.net/v1/skills/harishrajan77-agentic-automl-mcp

## Description

An AI platform that automates the complete machine learning workflow using LangGraph agents and integrates with MCP servers for file, compute, and database operations.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kwefs3poes)
- **Repository:** <https://github.com/Harishrajan77/Agentic-AutoML-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": "harishrajan77-agentic-automl-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/harishrajan77-agentic-automl-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/harishrajan77-agentic-automl-mcp/pull`

---
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