Search and retrieve Hugging Face Hub models, datasets, and Spaces via MCP server.
npx skills add https://github.com/huggingface/skills --skill hf-mcp
Please help me install this Agent Skill. Skill: hf-mcp Source: https://github.com/huggingface/skills/tree/main/hf-mcp/skills/hf-mcp Command: npx skills add https://github.com/huggingface/skills --skill hf-mcp
This skill enables AI assistants to access Hugging Face Hub resources through MCP server to search and retrieve models, datasets, Spaces, papers, and documentation.
Use the hf-mcp skill to connect to the MCP server and run a sample search for models.
High-intent search queries and answers about installing and using this skill.
You can search Hugging Face models and datasets by connecting an AI assistant to an MCP server with model_search and dataset_search commands to discover and retrieve Hub resources directly.
Yes, you can retrieve Hugging Face documentation through an MCP server using the hf_doc_search command, allowing AI assistants to fetch relevant docs for integrated workflows.
You need MCP client tooling available in your workspace to use this skill for Hugging Face Hub discovery, enabling tool-based interactions like model_search and hub_repo_details.
Yes, an AI agent can launch Gradio Spaces as tools and run compute jobs using the dynamic_space and hf_jobs commands when connected to an MCP server.
You can retrieve models, datasets, Spaces, papers, and documentation through an MCP server, supporting comprehensive Hub resource discovery and repository details retrieval.
MCP integration enables AI assistants to use the space_search command to explore and retrieve Hugging Face Spaces, providing hub_repo_details and tool-based Space interactions.
luokai25Search models, datasets, Spaces, and papers via the Hugging Face Hub MCP server.
DMT123Search Hugging Face Hub models, datasets, and Spaces.
Himanshu040604Search Hugging Face Hub for models, datasets, and Spaces.
Brilly-BohyunManage models, datasets, and repositories on the Hugging Face Hub.
