An MCP server designed to interact with the Hugging Face Dataset Viewer API, enabling browsing, analysis, and export of datasets hosted on the Hugging Face Hub. It leverages the dataset:// URI scheme, supports dataset configurations and splits, and offers paginated access to dataset contents. Authentication is supported for private datasets, and the server provides capabilities to search and filter dataset contents, as well as retrieve statistics. Core capabilities are exposed as MCP endpoints, including validate (check dataset existence and accessibility), get_info (detailed dataset information), get_rows (paginated data), get_first_rows (initial rows of a split), get_statistics (split-level statistics), search_dataset (text search within a dataset), filter (SQL-like conditional filtering with optional ordering and paging), and get_parquet (download entire dataset as Parquet). Installation requires Python 3.12+ and uv, with dev-mode setup via uv add, and HUGGINGFACE_TOKEN for private data. Claude Desktop integration is supported via a config snippet. The README enumerates prerequisites, setup steps, and environment variables to enable private dataset access.