Dataset Viewer MCP Server
@privetin
Basic information
About Dataset Viewer MCP Server
MCP server for Hugging Face dataset viewer
Dataset Viewer MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"dataset-viewer": {
"command": "uv",
"args": [
"venv"
]
}
}
}Dataset Viewer MCP Server 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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