Hugging Face MCP Server

Example Use Cases

• 1

  Access and interact with Hugging Face models and datasets.

• 2

  Detailed summaries and comparisons of Hugging Face models.

• 3

  Search and retrieve information about AI research papers from Hugging Face.

Description

The Hugging Face MCP Server is a tool that allows large language models (LLMs), such as Claude, to access and interact with Hugging Face Hub resources like models, datasets, spaces, papers, and collections via a custom URI scheme. It implements several tools for searching and retrieving information about models, datasets, papers, spaces, and collections, making it an essential resource for agents needing comprehensive access to Hugging Face's API offerings. The server supports optional authentication for higher API rate limits and access to private repositories.