What is the Hugging Face Hub tool?

The Hugging Face Hub tool is an MCP server that provides programmatic access to the Hugging Face Hub API, allowing you to search and retrieve comprehensive information about ML models, datasets, and their metadata.

How can I integrate or use this tool in my workflow?

The tool supports flexible usage scenarios, including STDIO mode for direct execution (e.g., with Claude Desktop) and an HTTP server mode, allowing for diverse programmatic integrations.

Do I need authentication to use the Hugging Face Hub tool?

No, this tool uses the public Hugging Face Hub API endpoints, so no authentication is required for accessing public repositories and their associated metadata.

What kind of data can I access using this tool?

You can access detailed information about ML models (search, info, tags) and datasets (search, info, parquet files, Croissant metadata, tags) available on the Hugging Face Hub.

Hugging Face Hub

Name: Hugging Face Hub
Author: michaelwaves

bymichaelwaves

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Desarrollo de API

Ciencia de Datos y ML

Herramientas para Desarrolladores

Provides programmatic access to the Hugging Face Hub API for querying models, datasets, and their associated metadata.

Serving as a Model Context Protocol (MCP) server, this tool seamlessly integrates with the Hugging Face Hub API, offering a robust interface to explore and retrieve extensive information. Developers can access and search a vast collection of models and datasets, along with their detailed metadata, facilitating efficient discovery and utilization of AI resources directly from the Hub.

Características Principales

010 GitHub stars

02Extensive Datasets API for searching, detailed information, parquet files, and Croissant metadata.

03Supports both STDIO and HTTP server modes for diverse usage scenarios.

04Comprehensive Models API for searching, detailed information, and tags.

05Seamless integration with the Hugging Face Hub for public repositories and metadata.

06Dedicated tools for common queries like listing models/datasets and getting specific details.

Casos de Uso

01Programmatic discovery and integration of AI models from Hugging Face Hub.

02Efficient searching and retrieval of datasets for machine learning projects.

03Accessing detailed metadata, such as model tags or dataset Croissant files, for analysis.