Dataloupe MCP Server Lets AI Assistants Explore CSVs and Generate Offline HTML Reports

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A developer named Aurelio has built Dataloupe, an open-source Model Context Protocol (MCP) server that enables AI assistants like Claude Desktop to explore CSV and other data files. The tool exposes several data operations including schema description, row preview, filtering, aggregation, and file diffing. Its standout feature is a visualize_data command that generates a fully self-contained, offline HTML report saved directly to disk. For security, the server restricts all file access to a user-defined root directory, blocking any path-traversal attempts. Dataloupe is available via npx or Docker and is listed in the official MCP registry for easy discovery by compatible clients.

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