hf-mcp Skill
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. Published by huggingface in skills.
What is hf-mcp Skill?
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. Published by huggingface in skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Documentation
- Data analysis
- Research
- Documentation use cases
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use hf-mcp Skill
- Use it for documentation.
- Use it for data analysis.
- Use it for research.
Built with
Editorial notes
Source
- Creator: huggingface
- Repository: huggingface/skills
- Skill file: hf-mcp/skills/hf-mcp/SKILL.md
What it does
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.
Skill instructions
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. modelsearch(task="text-generation", query="code", sort="trendingScore", limit=10) 2. hubrepodetails(repoids=["top-result-id"], includereadme=true) Compare Models from Different Providers User: "Compare Llama vs Qwen for text generation" 1. modelsearch(author="meta-llama", task="text-generation", sort="downloads", limit=5) 2. modelsearch(author="Qwen", task="text-generation", sort="downloads", limit=5) 3. hubrepodetails(repoids=["meta-llama/Llama-3.2-1B", "Qwen/Qwen3-8B"], includereadme=true) Find Training Datasets User: "Find datasets for sentiment analysis in English" 1. datasetsearch(query="sentiment", tags=["language:en", "taskcategories:text-classification"], sort="downloads") 2. hubrepodetails(repoids=["top-dataset-id"], repotype="dataset", includereadme=true) Discove
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Frequently asked questions
What is hf-mcp?
hf-mcp is a open-source AI agent skill with Copy skill directory. 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.
Who is hf-mcp best for?
hf-mcp is best for reusing agent instructions, scripts, and references, documentation workflows, data analysis workflows, research workflows.
How do I install hf-mcp?
Install or run hf-mcp using Copy skill directory. Check hf-mcp for the latest setup command.
Is hf-mcp actively maintained?
hf-mcp may need a closer maintenance check before production use.
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