
Dataset Viewer
An MCP server that lets users browse and analyze Hugging Face datasets, including search, filtering, statistics, and data export capabilities.
About this tool
Dataset Viewer
Type: MCP server
Category: mcp-server-directories-lists
Source: https://github.com/privetin/dataset-viewer
Description
Dataset Viewer is an MCP server for interacting with the Hugging Face Dataset Viewer API, enabling browsing and analysis of datasets hosted on the Hugging Face Hub.
Features
- Integrates with the Hugging Face Dataset Viewer API to work with datasets on the Hugging Face Hub.
- Exposes datasets as MCP resources using the
dataset://scheme. - Provides multiple tools for dataset inspection and interaction (all callable via MCP):
validate- Parameters:
dataset,auth_token
- Parameters:
get_info- Parameters:
dataset,auth_token
- Parameters:
get_rows- Parameters:
dataset,config,split,page,auth_token
- Parameters:
get_first_rows- Parameters:
dataset,config,split,auth_token
- Parameters:
get_statistics- Parameters:
dataset,config,split,auth_token
- Parameters:
search_dataset- Parameters:
dataset,config,split,query,auth_token
- Parameters:
filter- Parameters:
dataset,config,split,where,orderby,page,auth_token
- Parameters:
get_parquet- Parameters:
dataset,auth_token
- Parameters:
Installation
The repository README contains sections for Prerequisites and Setup, but specific installation commands or steps are not included in the provided content.
Configuration
- Environment variables:
HUGGINGFACE_TOKEN– used to authenticate against the Hugging Face Hub.
Integration
- Claude Desktop integration:
- Add the MCP server configuration to your Claude Desktop config file.
- Windows:
%APPDATA%\Claude\claude_desktop_config.json - macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
(The exact JSON configuration snippet is not present in the provided content.)
Pricing
- Licensed under the MIT License (see
LICENSEin the repository). - Open-source and free to use; no paid plans or pricing tiers are mentioned in the provided content.
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Information
Websitegithub.com
PublishedDec 22, 2025
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