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hf-mcp

Connect AI assistants to the Hugging Face MCP server for models, datasets, and Spaces.

4|Updated Feb 26, 2026
Search Tags:#ai-assistant#huggingface#hf-mcp#model-search#dataset-search#space-tools
One-click install
npx skills add https://github.com/oabdelmaksoud/Openclaw-skills-Compilations --skill hf-mcp-oabdelmaksoud
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hf-mcp
Source: https://github.com/oabdelmaksoud/Openclaw-skills-Compilations/tree/main/hf-mcp
Command: npx skills add https://github.com/oabdelmaksoud/Openclaw-skills-Compilations --skill hf-mcp-oabdelmaksoud

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Connect AI assistants to the Hugging Face MCP server to access models, datasets, and Spaces via a centralized MCP workflow.

Core Features & Use Cases

  • Discover models, datasets, and Spaces on Hugging Face through MCP-powered searches.
  • Retrieve repository details and documentation from HF Hub for quick context.
  • Run compute jobs and leverage Gradio Spaces as AI tools within MCP-enabled environments.

Quick Start

Connect your AI to the HF MCP server and start exploring models, datasets, and Spaces.

Frequently Asked Questions about hf-mcp

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

FAQPage Schema
How does MCP connect an AI assistant to the Hugging Face Hub?▼

MCP connects AI assistants to the Hugging Face Hub server to provide centralized access for discovering models, datasets, and Spaces. It uses the hf CLI to enable MCP-powered search and repository documentation retrieval.

How do I search for Hugging Face models and datasets using an MCP server?▼

To search for Hugging Face models and datasets, connect your AI assistant to the HF MCP server. This enables MCP-powered discovery and retrieval of repository details directly from the HF Hub.

Can I run compute jobs and invoke Gradio Spaces through an MCP workflow?▼

Yes, you can run compute jobs and leverage Gradio Spaces as AI tools within MCP-enabled environments. The MCP workflow integrates the hf CLI to execute these commands on the Hugging Face Hub.

What do I need to use Hugging Face MCP features for model and dataset discovery?▼

You need an MCP-enabled environment and an AI assistant connected to the Hugging Face MCP server. This setup allows you to use the hf CLI for model search, dataset discovery, and retrieving repository documentation.

Can I retrieve Hugging Face repository documentation directly through an AI assistant?▼

Yes, retrieving repository details and documentation from the HF Hub is a core feature. By connecting your AI to the Hugging Face MCP server, you can fetch quick context for models and datasets.

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