# tdprepview-mcp

> Use this tool when you need to create and manage machine learning data preprocessing pipelines for Teradata databases, solving problems related to data preparation and model deployment. It takes in Teradata database connections and data as inputs, and outputs trained models and predictions. Ideal for use cases where seamless integration of data preprocessing and model training is required for Teradata-based applications.

Canonical page: https://skillsregistry.net/skills/martinhillebrand-tdprepview-mcp  
JSON: https://api.skillsregistry.net/v1/skills/martinhillebrand-tdprepview-mcp

## Description

Enables machine learning data preprocessing pipeline creation and model training, deployment, and prediction for Teradata databases.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h5tua0iw3s)
- **Repository:** <https://github.com/martinhillebrand/tdprepview-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": "martinhillebrand-tdprepview-mcp"
    }
  }
}
```

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