Integrates Hugging Face Hub resources as AI tools for model discovery and dataset retrieval.

Install

mkdir -p .claude/skills/hf-mcp && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8795" && unzip -o skill.zip -d .claude/skills/hf-mcp && rm skill.zip

Installs to .claude/skills/hf-mcp

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.
222 chars✓ has a “when” trigger
Intermediate

Key capabilities

  • Query Hugging Face repositories for model metadata and readme files
  • Sort and filter datasets based on tasks, language, and download counts
  • Invoke Gradio Space tools directly for image generation or analysis
  • Extract citations and linked repository data from research papers

How it works

Queries the Hugging Face API via the MCP protocol to fetch registry data and execute remote Gradio API calls.

Inputs & outputs

You give it
Natural language query or specific model/dataset repository ID
You get back
Structured JSON metadata, links to documentation, or tool invocation results

When to use hf-mcp

  • Find code generation models
  • Compare model performance
  • Download training datasets

About this skill

Hugging Face MCP Server

Connect AI assistants to the Hugging Face Hub. Setup: https://huggingface.co/settings/mcp

Use Cases & Examples

Find the Best Model for a Task

User: "Find the best model for code generation"

1. model_search(task="text-generation", query="code", sort="trendingScore", limit=10)
2. hub_repo_details(repo_ids=["top-result-id"], include_readme=true)

Compare Models from Different Providers

User: "Compare Llama vs Qwen for text generation"

1. model_search(author="meta-llama", task="text-generation", sort="downloads", limit=5)
2. model_search(author="Qwen", task="text-generation", sort="downloads", limit=5)
3. hub_repo_details(repo_ids=["meta-llama/Llama-3.2-1B", "Qwen/Qwen3-8B"], include_readme=true)

Find Training Datasets

User: "Find datasets for sentiment analysis in English"

1. dataset_search(query="sentiment", tags=["language:en", "task_categories:text-classification"], sort="downloads")
2. hub_repo_details(repo_ids=["top-dataset-id"], repo_type="dataset", include_readme=true)

Discover AI Tools (MCP Spaces)

User: "Find a tool that can remove image backgrounds"

1. space_search(query="background removal", mcp=true)
2. dynamic_space(operation="view_parameters", space_name="result-space-id")
3. dynamic_space(operation="invoke", space_name="result-space-id", parameters="{...}")

Generate Images

User: "Create an image of a robot reading a book"

1. dynamic_space(operation="discover")  # See available tasks
2. gr1_flux1_schnell_infer(prompt="a robot sitting in a library reading a book, warm lighting, detailed")

Research a Topic

User: "What are the latest papers on RLHF?"

1. paper_search(query="reinforcement learning from human feedback", results_limit=10)
2. hub_repo_details(repo_ids=["paper-linked-model"], include_readme=true)  # If paper links to models

Learn How to Use a Library

User: "How do I fine-tune with LoRA using PEFT?"

1. hf_doc_search(query="LoRA fine-tuning", product="peft")
2. hf_doc_fetch(doc_url="https://huggingface.co/docs/peft/...")

Run a Quick GPU Job

User: "Run this Python script on a GPU"

hf_jobs(operation="uv", args={
  "script": "# /// script\n# dependencies = [\"torch\"]\n# ///\nimport torch\nprint(torch.cuda.is_available())",
  "flavor": "t4-small"
})

Train a Model on Cloud GPU

User: "Run my training script on an A10G"

hf_jobs(operation="run", args={
  "image": "pytorch/pytorch:2.5.1-cuda12.4-cudnn9-runtime",
  "command": ["/bin/sh", "-lc", "pip install transformers trl && python train.py"],
  "flavor": "a10g-small",
  "secrets": {"HF_TOKEN": "$HF_TOKEN"}
})

Check Job Status

User: "What's happening with my training job?"

1. hf_jobs(operation="ps")
2. hf_jobs(operation="logs", args={"job_id": "job-xxxxx"})

Explore What's Trending

User: "What models are trending right now?"

model_search(sort="trendingScore", limit=20)

Get Model Card Details

User: "Tell me about Mistral-7B"

hub_repo_details(repo_ids=["mistralai/Mistral-7B-v0.1"], include_readme=true)

Find Quantized Models

User: "Find GGUF versions of Llama 3"

model_search(query="Llama 3 GGUF", sort="downloads", limit=10)

Use a Gradio Space as a Tool

User: "Transcribe this audio file"

1. space_search(query="speech to text transcription", mcp=true)
2. dynamic_space(operation="view_parameters", space_name="openai/whisper")
3. dynamic_space(operation="invoke", space_name="openai/whisper", parameters="{\"audio\": \"...\"}")

Schedule Recurring Jobs

User: "Run this data sync every day at midnight"

hf_jobs(operation="scheduled uv", args={
  "script": "...",
  "cron": "0 0 * * *",
  "flavor": "cpu-basic"
})

Tool Selection Guide

GoalTool
Find modelsmodel_search
Find datasetsdataset_search
Find Spaces/appsspace_search
Find paperspaper_search
Get repo README/detailshub_repo_details
Learn library usagehf_doc_searchhf_doc_fetch
Run code on GPU/CPUhf_jobs
Use Gradio apps as toolsdynamic_space
Generate imagesgr1_flux1_schnell_infer or dynamic_space
Check authhf_whoami

Tips

  • Use sort="trendingScore" to find what's popular now
  • Use sort="downloads" to find battle-tested options
  • Set mcp=true in space_search to find Spaces usable as tools
  • Use include_readme=true in hub_repo_details for full model/dataset documentation
  • For jobs accessing private repos, always include secrets: {"HF_TOKEN": "$HF_TOKEN"}
  • Use dynamic_space(operation="discover") to see all available Space-based tasks

When not to use it

  • Accessing private datasets without proper authentication tokens
  • Performing heavy training or fine-tuning workloads locally

Prerequisites

Hugging Face Hub accountMCP server connection configured

Limitations

  • Limited by the exposed functionality of specific Gradio Spaces
  • Dependent on stable network connectivity to the Hugging Face Hub

How it compares

It bridges the gap between static browsing and direct tool interaction with hosted AI research artifacts.

Compared to similar skills

hf-mcp side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
hf-mcp (this skill)07moNo flagsIntermediate
qiskit47moReviewAdvanced
pennylane17moReviewAdvanced
model-registry-maintainer08moCautionIntermediate

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