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privetin/dataset-viewer

MCP server for Hugging Face dataset viewer

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Source: collected from the abordage/awesome-mcp list · type: MCP server
Harvest history: first seen 2026-10-14 · last seen 2026-10-16 · seen 4× · listed by 3 sources
Score: score 303 · 3 sources · mcp

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Dataset Viewer MCP Server

以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →

An MCP server for interacting with the Hugging Face Dataset Viewer API, providing capabilities to browse and analyze datasets hosted on the Hugging Face Hub.
Features
Resources
- Uses dataset:// URI scheme for accessing Hugging Face datasets
- Supports dataset configurations and splits
- Provides paginated access to dataset contents
- Handles authentication for private datasets
- Supports searching and filtering dataset contents
- Provides dataset statistics and analysis
Tools
The server provides the following tools:
1. **validate**
- Check if a dataset exists and is accessible
- Parameters:
- dataset: Dataset identifier (e.g. 'stanfordnlp/imdb')
- auth_token (optional): For private datasets
2. **get_info**
- Get detailed information about a dataset
- Parameters:
- dataset: Dataset identifier
- auth_token (optional): For private datasets
3. **get_rows**
- Get paginated contents of a dataset
- Parameters:
- dataset: Dataset identifier
- config: Configuration name
- split: Split name
- page (optional): Page number (0-based)
- auth_token (optional): For private datasets
4. **get_first_rows**
- Get first rows from a dataset split
- Parameters:
- dataset: Dataset identifier
- config: Configuration name
- split: Split name
- auth_token (optional): For private datasets
5. **get_statistics**
- Get statistics about a dataset split
- Parameters:
- dataset: Dataset identifier
- config: Configuration name
- split: Split name
- auth_token (optional): For private datasets
6. **search_dataset**
- Search for text within a dataset
- Parameters:
- dataset: Dataset identifier
- config: Configuration name
- split: Split name
- query: Text to search for
- auth_token (optional): For private datasets
7. **filter**
- Filter rows using SQL-like conditions
- Parameters:
- dataset: Dataset identifier
- config: Configuration name
- split: Split name
- where: SQL WHERE clause (e.g. "score > 0.5")
- orderby (optional): SQL ORDER BY clause
- page (optional): Page number (0-based)
- auth_token (optional): For private datasets
8. **get_parquet**
- Download entire dataset in Parquet format
- Parameters:
- dataset: Dataset identifier
- auth_token (optional): For private datasets
Installation
Prerequisites
- Python 3.12 or higher
- uv - Fast Python package installer and resolver
Setup
1. Clone the repository: