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hf-mcp

Search Hugging Face Hub models, datasets, and Spaces.

Updated Mar 2, 2026
Search Tags:#models#mcp#ai tools#gpu#datasets#huggingface
One-click install
npx skills add https://github.com/DMT123/claude-skills-collection --skill hf-mcp-dmt123
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hf-mcp
Source: https://github.com/DMT123/claude-skills-collection/tree/main/plugins/huggingface/hf-mcp
Command: npx skills add https://github.com/DMT123/claude-skills-collection --skill hf-mcp-dmt123

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill allows AI assistants to interact with the Hugging Face Hub, enabling them to search for models, datasets, and Spaces, retrieve repository details, and even run compute jobs on cloud GPUs.

Core Features & Use Cases

  • Model & Dataset Search: Find the best models or datasets for specific tasks (e.g., code generation, sentiment analysis).
  • AI Tool Integration: Discover and use Hugging Face Spaces as AI tools (e.g., image background removal).
  • Compute Jobs: Run Python scripts on cloud GPUs for training or inference.
  • Documentation Lookup: Learn how to use libraries and fine-tune models.

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 AI models and datasets on the Hugging Face Hub?▼

Discover AI models and datasets by querying the Hugging Face Hub for specific tasks. The integration allows you to search repositories, retrieve details, and find optimal resources for applications like sentiment analysis or code generation.

Can I use Hugging Face Spaces as AI tools within my workflow?▼

Yes, you can integrate Hugging Face Spaces as interactive AI tools. This allows you to discover Gradio applications and leverage them for tasks like image background removal directly within your workflow.

How do I run Python scripts on cloud GPUs for model training?▼

Execute Python scripts on cloud GPUs by utilizing the compute jobs feature. This facilitates running training or inference tasks and supports scheduling advanced GPU jobs for model processing.

Does this integration support fine-tuning models with PEFT?▼

Yes, the integration supports advanced use cases including fine-tuning models with PEFT. You can execute these training tasks by running Python compute jobs on cloud GPUs to adapt models.

What is the best way to find documentation for fine-tuning models?▼

Use the documentation lookup feature to find library instructions and fine-tuning guidelines. It allows you to learn how to use libraries and effectively retrieve information for adapting models.

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