MLCBakery
Provides a bridge between AI assistants and machine learning datasets, enabling search, validation, and retrieval of ML Croissant metadata from the MLCBakery system without switching contexts.
About
MLCBakery MCP Server provides a bridge between AI assistants and machine learning datasets through the Model Context Protocol. Built by Jonathan Lebensold, this implementation enables MCP-compatible clients to search, validate, and retrieve ML Croissant metadata for datasets stored in the MLCBakery system. The server exposes tools for dataset discovery, preview generation, and metadata validation, making it particularly valuable for researchers and data scientists who need to reference or validate machine learning datasets during AI-assisted workflows without switching contexts.
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