Hugging Face Hub MCP Server

A Model Context Protocol (MCP) server that provides access to the Hugging Face Hub API, allowing you to search and retrieve information about models, datasets, and their metadata.

Features

Models API: Search models, get detailed model info, and retrieve model tags
Datasets API: Search datasets, get dataset info, access parquet files, and Croissant metadata
Full Hub Integration: Access all public repositories and metadata from Hugging Face Hub

Tools

Models

hf_list_models - List and search models with filtering options
hf_get_model_info - Get detailed information about a specific model
hf_get_model_tags - Get all available model tags

Datasets

hf_list_datasets - List and search datasets with filtering options
hf_get_dataset_info - Get detailed information about a specific dataset
hf_get_dataset_parquet - Get parquet file information for datasets
hf_get_croissant - Get Croissant metadata for datasets
hf_get_dataset_tags - Get all available dataset tags

Installation

npm install
npm run build

Usage

STDIO (for Claude Desktop)

npm run dev:stdio

HTTP Server

npm run dev:shttp
# or specify port
npm start --port 3003

Configuration

The server uses the Hugging Face Hub public API endpoints. No authentication is required for public repositories.

Environment variables:

HF_BASE_URL: Base URL for Hugging Face API (default: https://huggingface.co)
PORT: HTTP server port (default: 3003)

Examples

Search for text classification models:

{
  "name": "hf_list_models", 
  "arguments": {
    "filter": "text-classification",
    "limit": 10
  }
}

Get information about a specific model:

{
  "name": "hf_get_model_info",
  "arguments": {
    "repo_id": "microsoft/DialoGPT-medium"
  }
}

Search for datasets by author:

{
  "name": "hf_list_datasets",
  "arguments": {
    "author": "huggingface",
    "limit": 5
  }
}

Deploy Server

HTTP connection URL

security - not tested

license - not found

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Tools

Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.

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