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HF Dataset

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An MCP server for the Hugging Face Dataset Viewer API that enables searching, fetching, and filtering datasets on the Hugging Face Hub. It allows users to explo

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About

An MCP server for the Hugging Face Dataset Viewer API that enables searching, fetching, and filtering datasets on the Hugging Face Hub. It allows users to explore schemas, perform full-text searches, and analyze dataset statistics through natural language.

README

MCP server for the Hugging Face Dataset Viewer API. Search datasets, fetch rows, filter data, and more.

Installation

npx @cfahlgren1/hf-dataset-mcp

Configuration

Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "hf-datasets": {
      "command": "npx",
      "args": ["-y", "@cfahlgren1/hf-dataset-mcp"],
      "env": {
        "HF_TOKEN": "hf_..."
      }
    }
  }
}

Environment Variables

Variable Description
HF_TOKEN Hugging Face API token (required for private/gated datasets)
HF_DATASETS_SERVER Custom Dataset Viewer API URL (default: https://datasets-server.huggingface.co)

Tools

search_datasets

Find datasets on the Hugging Face Hub by name, tag, or author.

search_datasets(search?: string, author?: string, filter?: string[], sort?: string, limit?: number)

validate_dataset

Check if a dataset is accessible and which viewer features are available.

validate_dataset(dataset: string)

list_splits

Get all available configurations and splits for a dataset.

list_splits(dataset: string)

get_dataset_info

Get the schema, metadata, and row counts for a dataset configuration.

get_dataset_info(dataset: string, config: string)

get_rows

Fetch a slice of rows from a dataset split.

get_rows(dataset: string, config: string, split: string, offset?: number, length?: number)

search_dataset

Full-text search within a dataset split using BM25 ranking.

search_dataset(dataset: string, config: string, split: string, query: string, offset?: number, length?: number)

filter_rows

Filter dataset rows using SQL-like WHERE conditions.

filter_rows(dataset: string, config: string, split: string, where: string, orderby?: string, offset?: number, length?: number)

WHERE syntax: Column names in double quotes, strings in single quotes. Supports =, <>, >, <, >=, <=, AND, OR, NOT.

Example: "label"=1 AND "text" LIKE '%hello%'

get_dataset_size

Get row counts and byte sizes for all configs and splits.

get_dataset_size(dataset: string)

list_parquet_files

Get URLs for the dataset's Parquet files for direct download or processing.

list_parquet_files(dataset: string)

get_statistics

Get descriptive statistics for each column in a dataset split.

get_statistics(dataset: string, config: string, split: string)

Examples

Find text classification datasets

search_datasets(filter: ["task_categories:text-classification"], sort: "downloads", limit: 10)

Get IMDB dataset info

list_splits(dataset: "stanfordnlp/imdb")
get_dataset_info(dataset: "stanfordnlp/imdb", config: "plain_text")

Fetch rows from a dataset

get_rows(dataset: "stanfordnlp/imdb", config: "plain_text", split: "train", offset: 0, length: 10)

Search for specific content

search_dataset(dataset: "stanfordnlp/imdb", config: "plain_text", split: "train", query: "amazing movie")

Filter rows

filter_rows(dataset: "stanfordnlp/imdb", config: "plain_text", split: "train", where: "\"label\"=1", length: 10)

License

MIT

from github.com/cfahlgren1/hf-dataset-mcp

Install HF Dataset in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install hf-dataset-mcp

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add hf-dataset-mcp -- npx -y github:cfahlgren1/hf-dataset-mcp

Step-by-step: how to install HF Dataset

FAQ

Is HF Dataset MCP free?

Yes, HF Dataset MCP is free — one-click install via Unyly at no cost.

Does HF Dataset need an API key?

No, HF Dataset runs without API keys or environment variables.

Is HF Dataset hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install HF Dataset in Claude Desktop, Claude Code or Cursor?

Open HF Dataset on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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