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hf-mcp

Access Hugging Face Hub models, datasets, and Spaces via MCP server.

1|Updated Feb 24, 2026
Search Tags:#mcp#ai tools#hugging face#gpu jobs#model search#dataset search
One-click install
npx skills add https://github.com/FacuM/yolo-agent --skill hf-mcp-facum
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hf-mcp
Source: https://github.com/FacuM/yolo-agent/tree/main/.claude/skills/hf-mcp
Command: npx skills add https://github.com/FacuM/yolo-agent --skill hf-mcp-facum

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables AI assistants to interact with the Hugging Face Hub, allowing them to search for models, datasets, and Spaces, retrieve repository details, run compute jobs, and utilize Gradio Spaces as AI tools.

Core Features & Use Cases

  • Model & Dataset Search: Find the best models or datasets for specific tasks.
  • Hugging Face Hub Integration: Access repository details, documentation, and run jobs.
  • Gradio Spaces as Tools: Discover and invoke AI tools hosted on Hugging Face Spaces.
  • Use Case: Find the best model for code generation by searching Hugging Face Hub and then inspecting the top result's details.

Quick Start

Find the best model for code 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 an MCP server?▼

You can search for models and datasets on the Hugging Face Hub by using an MCP server that provides programmatic access to Hub functionalities, allowing you to query repositories and retrieve detailed information.

Can I run GPU-accelerated jobs on Hugging Face through an AI agent?▼

Yes, you can run GPU-accelerated jobs on Hugging Face by using an MCP server that facilitates executing compute jobs, enabling your AI agent to leverage remote hardware for deployment tasks.

How do I use Gradio Spaces as dynamic tools for AI assistants?▼

You can use Gradio Spaces as dynamic tools by connecting your AI assistant to an MCP server that discovers and invokes AI tools hosted on Hugging Face Spaces, extending agent capabilities.

What is the best way to retrieve Hugging Face repository details and documentation programmatically?▼

The best way to retrieve Hugging Face repository details is through an MCP server integration that accesses repository information and documentation, providing structured data directly to your agent.

Does the Hugging Face Hub MCP integration require specific dependencies to function?▼

No specific dependencies are required to implement the Hugging Face Hub MCP integration, allowing you to connect your AI assistant to search models and run compute jobs without extra package constraints.

How do I find the best model for code generation tasks on Hugging Face?▼

To find the best model for code generation, use the MCP server to search the Hugging Face Hub for relevant models and then inspect the top result's repository details to evaluate its suitability.

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