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hf-mcp

Search Hugging Face Hub models, datasets, spaces, and papers via MCP.

1|Updated Feb 20, 2026
Search Tags:#mcp#huggingface#dataset_search#space_search#model_search#hub_repo_details#hf_jobs
One-click install
npx skills add https://github.com/BlackRoad-OS-Inc/blackroad-operator --skill hf-mcp-blackroad-os-inc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hf-mcp
Source: https://github.com/BlackRoad-OS-Inc/blackroad-operator/tree/main/agents/skills/hf-mcp/skills/hf-mcp
Command: npx skills add https://github.com/BlackRoad-OS-Inc/blackroad-operator --skill hf-mcp-blackroad-os-inc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Hugging Face MCP enables AI assistants to access, search, and interact with models, datasets, spaces, and papers on the Hugging Face Hub via a centralized MCP server, enabling quick discovery and deployment.

Core Features & Use Cases

  • Model discovery and comparison using model_search with filters such as task and popularity.
  • Dataset and Space discovery using dataset_search and space_search, with repo details via hub_repo_details.
  • Run compute jobs and browse documentation with hf_jobs, paper_search, and dynamic_space to invoke Space-based tools.
  • Quick scenarios: find a model for code generation; compare two models from different providers; launch a small evaluation workflow on MCP.

Quick Start

Ask your AI assistant to search for a model suitable for image classification and fetch its details from the MCP server.

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 my AI assistant?▼

You can search Hugging Face models and datasets by connecting your AI assistant to a Hugging Face MCP server. This enables commands like model_search and dataset_search to locate Hub resources directly.

Can I compare models from different providers using Hugging Face MCP?▼

Yes, Hugging Face MCP supports model discovery and comparison. You can use model_search with filters like task and popularity to evaluate different options across providers.

How do I find detailed repository information for a Hugging Face Space?▼

You can retrieve Hugging Face Space and repository details by using the hub_repo_details command via the MCP server. This fetches specific repo information for your AI assistant.

Can I launch compute jobs on Hugging Face through an MCP connection?▼

Yes, the Hugging Face MCP integration includes the hf_jobs command to run compute jobs. You can launch small evaluation workflows or browse documentation directly through the server.

Do I need an MCP server to search for Hugging Face papers?▼

Yes, an MCP server connection is required. The paper_search command operates through the MCP server to locate papers on the Hugging Face Hub for your AI assistant.

Can I use a private token to search private Hugging Face repositories?▼

Yes, the Hugging Face MCP commands support options for private token usage. This allows your AI assistant to access and search private repositories on the Hub securely.

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