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Dataset Viewer MCP Server

@privetin

Repository

About Dataset Viewer MCP Server

MCP server for Hugging Face dataset viewer

Basic information

Category

Data & Analytics

License

MIT

Runtime

python

Transports

stdio

Publisher

privetin

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "dataset-viewer": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Tools

8

`dataset`: Dataset identifier (e.g. 'stanfordnlp/imdb')

`dataset`: Dataset identifier

`dataset`: Dataset identifier

`dataset`: Dataset identifier

`dataset`: Dataset identifier

`dataset`: Dataset identifier

`dataset`: Dataset identifier

`dataset`: Dataset identifier

Overview

What is Dataset Viewer MCP Server?

An MCP server for interacting with the Hugging Face Dataset Viewer API, enabling users to browse, search, and analyze datasets hosted on the Hugging Face Hub. It provides tools for dataset validation, statistics, filtering, and downloading data in Parquet format.

How to use Dataset Viewer MCP Server?

Install Python 3.12+ and uv, clone the repository, create a virtual environment, and install the package. Configure the server by setting the HUGGINGFACE_TOKEN environment variable for private datasets and adding the command to your MCP client configuration (e.g., Claude Desktop).

Key features of Dataset Viewer MCP Server

  • Uses dataset:// URI scheme for accessing Hugging Face datasets
  • Supports dataset configurations and splits with pagination
  • Handles authentication for private datasets via optional token
  • Provides search and SQL-like filtering of dataset rows
  • Offers dataset statistics and analysis tools
  • Allows downloading entire datasets in Parquet format

Use cases of Dataset Viewer MCP Server

  • Validate that a

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