Data · MODEL CONTEXT PROTOCOL
dataset-viewer
MCP server for Hugging Face dataset viewer
WHAT IT CONNECTS
What dataset-viewer gives an AI Agent
- 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
- **validate**
- Check if a dataset exists and is accessible
- Parameters:
- `dataset`: Dataset identifier (e.g. 'stanfordnlp/imdb')
- `auth_token` (optional): For private datasets
- **get_info**
- Get detailed information about a dataset
- Parameters:
- `dataset`: Dataset identifier
- `auth_token` (optional): For private datasets
- **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
- **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
- **get_statistics**
- Get statistics about a dataset split
- Parameters:
- `dataset`: Dataset identifier
- `config`: Configuration name
- `split`: Split name
- `auth_token` (optional): For private datasets
- **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
- **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
- **get_parquet**
- Download entire dataset in Parquet format
- Parameters:
- `dataset`: Dataset identifier
- `auth_token` (optional): For private datasets
- Python 3.12 or higher
- [uv](https://github.com/astral-sh/uv) - Fast Python package installer and resolver
- Clone the repository:
- Create a virtual environment and install:
- `HUGGINGFACE_TOKEN`: Your Hugging Face API token for accessing private datasets
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.
README
Repository documentation
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.
- 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
The server provides the following tools:
-
validate
- Check if a dataset exists and is accessible
- Parameters:
dataset: Dataset identifier (e.g. 'stanfordnlp/imdb')auth_token(optional): For private datasets
-
get_info
- Get detailed information about a dataset
- Parameters:
dataset: Dataset identifierauth_token(optional): For private datasets
-
get_rows
- Get paginated contents of a dataset
- Parameters:
dataset: Dataset identifierconfig: Configuration namesplit: Split namepage(optional): Page number (0-based)auth_token(optional): For private datasets
-
get_first_rows
- Get first rows from a dataset split
- Parameters:
dataset: Dataset identifierconfig: Configuration namesplit: Split nameauth_token(optional): For private datasets
-
get_statistics
- Get statistics about a dataset split
- Parameters:
dataset: Dataset identifierconfig: Configuration namesplit: Split nameauth_token(optional): For private datasets
-
search_dataset
- Search for text within a dataset
- Parameters:
dataset: Dataset identifierconfig: Configuration namesplit: Split namequery: Text to search forauth_token(optional): For private datasets
-
filter
- Filter rows using SQL-like conditions
- Parameters:
dataset: Dataset identifierconfig: Configuration namesplit: Split namewhere: SQL WHERE clause (e.g. "score > 0.5")orderby(optional): SQL ORDER BY clausepage(optional): Page number (0-based)auth_token(optional): For private datasets
-
get_parquet
- Download entire dataset in Parquet format
- Parameters:
dataset: Dataset identifierauth_token(optional): For private datasets
- Python 3.12 or higher
- uv - Fast Python package installer and resolver
- Clone the repository:
git clone https://github.com/privetin/dataset-viewer.git
cd dataset-viewer- Create a virtual environment and install:
# Create virtual environment
uv venv
# Activate virtual environment
# On Unix:
source .venv/bin/activate
# On Windows:
.venv\Scripts\activate
# Install in development mode
uv add -e .HUGGINGFACE_TOKEN: Your Hugging Face API token for accessing private datasets
Add the following to your Claude Desktop config file:
On Windows: %APPDATA%\Claude\claude_desktop_config.json
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"dataset-viewer": {
"command": "uv",
"args": [
"--directory",
"parent_to_repo/dataset-viewer",
"run",
"dataset-viewer"
]
}
}
}MIT License - see LICENSE for details
COMMUNITY