Dataset Viewer
Integrates with the Hugging Face Dataset Viewer API to enable exploration, analysis, and content retrieval of datasets hosted on t
This dataset-viewer MCP server, developed by privetin, provides a standardized interface for interacting with the Hugging Face Dataset Viewer API. Built with Python and leveraging the mcp and httpx libraries, it offers tools for listing dataset splits, viewing paginated dataset contents, and retrieving dataset statistics. The server abstracts complex API interactions into simple MCP tools, enabling AI assistants to easily explore and analyze datasets hosted on the Hugging Face Hub. It stands out by supporting various dataset configurations and splits, and providing paginated access to dataset contents. This implementation is particularly useful for applications requiring dataset exploration, content analysis, or integration of Hugging Face datasets into AI workflows.
Source
Repository: https://github.com/privetin/dataset-viewer
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