# dataset-pipeline-mcp

> dataset-pipeline-mcp — pranjalisr-dataset-pipeline-mcp. Use this tool when you need to automate dataset discovery and preprocessing for machine learning tasks. It solves problems of manual dataset searching and scripting by generating domain-aware pipelines from natural-language queries, taking in dataset descriptions and outputting runnable preprocessing scripts. Ideal for data scientists and ML engineers working with diverse datasets from HuggingFace and Kaggle.

Canonical page: https://skillsregistry.net/skills/pranjalisr-dataset-pipeline-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pranjalisr-dataset-pipeline-mcp

## Description

An MCP server that searches HuggingFace/Kaggle for datasets, detects their domain, and generates a matching preprocessing script. It turns natural-language dataset queries into runnable, domain-aware preprocessing pipelines.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dpxamfwozb)
- **Repository:** <https://github.com/pranjalisr/dataset-pipeline-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": "pranjalisr-dataset-pipeline-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pranjalisr-dataset-pipeline-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pranjalisr-dataset-pipeline-mcp/pull`

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