hf-mcp

Search models, datasets, Spaces, and papers via the Hugging Face Hub MCP server.

Updated May 4, 2026
One-click install
npx skills add https://github.com/luokai25/luo-ai-skills-market --skill hf-mcp-luokai25
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hf-mcp
Source: https://github.com/luokai25/luo-ai-skills-market/tree/main/09-data-and-ai%20%28by%20Luo%20Kai%29/09-huggingface/hf-hf-mcp
Command: npx skills add https://github.com/luokai25/luo-ai-skills-market --skill hf-mcp-luokai25

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires transformers, datasets, mcp, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies accessing the Hugging Face Hub using the MCP server, allowing users to search for models, datasets, Spaces, and papers, as well as manage and run compute jobs.

Core Features & Use Cases

  • Model and Dataset Search: Find the best models and datasets for your tasks.
  • Spaces and Papers: Discover AI tools and the latest research papers.
  • Compute Jobs: Run code and training jobs on the cloud.
  • Gradio Spaces: Use Gradio Spaces as AI tools.
  • Documentation and Training: Learn how to use libraries and run jobs.

Quick Start

Use the hf-mcp skill to search for the latest models for text generation.

Frequently Asked Questions about hf-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search for models and datasets on the Hugging Face Hub using MCP?

You can search for models and datasets on the Hugging Face Hub using MCP by connecting to the HF MCP server, which provides a comprehensive interface to query and discover assets directly.

Can I run compute jobs and training tasks on the cloud through the Hugging Face MCP server?

Yes, the Hugging Face MCP server enables you to run compute jobs and training tasks on the cloud, allowing you to execute code and manage jobs remotely through the interface.

Do I need Python libraries to access Hugging Face Spaces and papers via the MCP server?

Yes, accessing Hugging Face Spaces and papers via the MCP server requires Python libraries including transformers and datasets to perform model and dataset operations.

What's the best way to discover AI tools and Gradio Spaces on the Hugging Face Hub?

The best way to discover AI tools and Gradio Spaces on the Hugging Face Hub is by using the MCP server interface to search for Spaces and access them as interactive AI tools.

Does the Hugging Face MCP server support finding research papers?

Yes, the Hugging Face MCP server supports finding research papers by providing a search interface that allows users to discover the latest research papers alongside models and datasets.