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hf-mcp

Search Hugging Face Hub models, datasets, and Spaces, and run cloud compute jobs.

3|Updated Nov 4, 2025
Search Tags:#rag#mcp server#ai models#datasets#hugging face#gpu jobs
One-click install
npx skills add https://github.com/tayyabexe/skills --skill hf-mcp-tayyabexe
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hf-mcp
Source: https://github.com/tayyabexe/skills/tree/main/hf-mcp/skills/hf-mcp
Command: npx skills add https://github.com/tayyabexe/skills --skill hf-mcp-tayyabexe

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

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

Core Features & Use Cases

  • Model & Dataset Discovery: Search and filter models and datasets based on various criteria like task, author, and popularity.
  • Repository Information: Fetch detailed information, including READMEs, for any Hugging Face repository.
  • Compute Jobs: Run Python scripts on cloud GPUs for training or inference, with options for scheduling.
  • Gradio Spaces Integration: Discover and invoke Hugging Face Spaces as interactive AI tools.

Quick Start

Use the hf-mcp skill to 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 Hugging Face models and datasets from an AI assistant?▼

You can search for Hugging Face models and datasets by applying filters like task, author, and popularity. This integration allows your AI assistant to discover and retrieve detailed repository information directly.

Can I run cloud GPU jobs for training or inference using Hugging Face Hub?▼

Yes, you can run Python scripts on cloud GPUs for training or inference. The interface supports executing compute jobs on the Hugging Face Hub with options for scheduling.

How do I use Hugging Face Spaces as dynamic AI tools?▼

You can discover and invoke Hugging Face Gradio Spaces as interactive AI tools. This allows your assistant to utilize these Spaces for dynamic operations and advanced tasks.

What information can I retrieve about a Hugging Face repository?▼

You can fetch detailed repository information, including READMEs, for any Hugging Face repository. This provides comprehensive metadata and documentation for models, datasets, and Spaces.

Does the Hugging Face MCP server support advanced operations for AI assistants?▼

Yes, it integrates with MCP server functionalities to provide an interface for AI assistants. This enables advanced operations like repository searches, compute job execution, and Gradio Spaces integration.

What is the best way to find a model for a specific task like code generation on Hugging Face?▼

The best way is to search and filter Hugging Face models based on specific criteria like task. You can discover the most suitable models for code generation by filtering for that specific task.

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