连接能力
dataset-viewer 为 AI Agent 提供什么
- 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
安全
MCP 收录不等于安全审核
MCP 服务器可能获得模型上下文、凭据、本地文件或调用外部系统的权限。连接 Agent 前,请检查代码、环境变量、网络行为、软件包来源与维护状态。
README
仓库文档
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
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