Hugging Face

Huggingface MCP Server provides direct access to Hugging Face models and resources through a simple interface. Built by Shreyas Karnik, it leverages the huggingface-hub library to connect with the Hugging Face ecosystem, allowing AI assistants to interact with thousands of machine learning models without complex setup. The server supports optional authentication via Hugging Face API tokens, enabling access to both public and private resources. Packaged as a Docker container with Smithery.ai configuration, it's designed for easy deployment in various environments. This implementation is particularly valuable for workflows requiring natural language processing, image generation, or other machine learning capabilities directly within conversation interfaces.