skills.rest
yanochka11
yanochka11COMMUNITY
Explore all skills by this author →
GitHub

hf-mcp

Connect AI assistants to Hugging Face resources via MCP integrations.

Updated May 5, 2026
Search Tags:#machine learning#mcp#datasets#huggingface#gpu jobs#model search
One-click install
npx skills add https://github.com/yanochka11/harness_bro --skill hf-mcp-yanochka11
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hf-mcp
Source: https://github.com/yanochka11/harness_bro/tree/main/.claude/skills/ported/hf-mcp
Command: npx skills add https://github.com/yanochka11/harness_bro --skill hf-mcp-yanochka11

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps AI assistants access Hugging Face resources without manually navigating model repositories, documentation, datasets, papers, or compute services.

Core Features & Use Cases

  • Hugging Face Discovery: Search models, datasets, papers, repositories, and Gradio Spaces through MCP tools.
  • AI Development Workflows: Retrieve documentation, inspect model details, run GPU jobs, and use hosted AI tools for research and development scenarios.
  • Use Case: A machine learning engineer can use this Skill to compare language models, find training datasets, read library documentation, or launch a cloud GPU experiment through Hugging Face services.

Quick Start

Ask the hf-mcp skill to find a suitable Hugging Face model, dataset, paper, or tool for your AI development task.

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 Hugging Face models and datasets using an AI assistant?▼

To search for Hugging Face models and datasets using an AI assistant, you need an MCP integration that connects your assistant to Hugging Face resources. This allows direct model discovery, dataset search, and paper retrieval without manual navigation.

Can I launch GPU jobs on Hugging Face through my AI assistant?▼

You can launch GPU jobs on Hugging Face through your AI assistant by utilizing MCP server capabilities for compute operations. This integration enables direct execution of cloud GPU experiments and compute tasks from your assistant interface.

What is the best way to retrieve Hugging Face library documentation for machine learning workflows?▼

The best way to retrieve Hugging Face library documentation for machine learning workflows is through an MCP integration that connects your AI assistant directly to Hugging Face resources. This enables automatic documentation retrieval and repository inspection.

Do I need MCP server access to inspect Hugging Face repositories?▼

Yes, you need MCP server access to inspect Hugging Face repositories through an AI assistant. The MCP integration provides the necessary capabilities for repository inspection, AI tool invocation, and compute operations required for machine learning workflows.

How does an AI assistant find and use Gradio Spaces hosted on Hugging Face?▼

An AI assistant finds and uses Gradio Spaces hosted on Hugging Face through MCP tools that connect to Hugging Face resources. This integration allows searching for Gradio Spaces and invoking hosted AI tools for research and development scenarios.

Related Skills

Explore More Education & Research Skills→
iani-kuliiani-kuli

hf-mcp

Integrate Hugging Face Hub model discovery, dataset retrieval, and cloud compute jobs.

Community
Advanced
DMT123DMT123

hf-mcp

Search Hugging Face Hub models, datasets, and Spaces.

Community
Advanced
huggingfacehuggingface
10.9k

huggingface-lora-space-builder

Generate Gradio web apps for AI models and publish them on Hugging Face Spaces.

Official
Intermediate
bcastelinobcastelino
2

hugging-face-cli

Execute Hugging Face Hub operations via the hf CLI for models, datasets, and repositories.

Community
Intermediate