# Dataset Viewer MCP Server

> Use this tool when you need to interact with datasets hosted on the Hugging Face Hub, enabling browsing, searching, filtering, and analysis of datasets through the Hugging Face Dataset Viewer API. It solves problems related to dataset exploration and discovery, providing an interface for users to input search queries and filters, and outputting relevant dataset information. Ideal for data scientists and researchers working with Hugging Face datasets, this tool streamlines dataset analysis and selection.

Canonical page: https://skillsregistry.net/skills/privetin-dataset-viewer  
JSON: https://api.skillsregistry.net/v1/skills/privetin-dataset-viewer

## Description

Enables interaction with the Hugging Face Dataset Viewer API, allowing users to browse, search, filter, and analyze datasets hosted on the Hugging Face Hub.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b5mmrmnn6b)
- **Repository:** <https://github.com/privetin/dataset-viewer>

## 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": "privetin-dataset-viewer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/privetin-dataset-viewer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/privetin-dataset-viewer/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