Search Hugging Face Hub models, datasets, Spaces, and papers via MCP server tools.
npx skills add https://github.com/domattioli/DomI --skill hf-mcp-domattioli
Please help me install this Agent Skill. Skill: hf-mcp Source: https://github.com/domattioli/DomI/tree/main/plugins/huggingface-skills/hf-mcp/skills/hf-mcp Command: npx skills add https://github.com/domattioli/DomI --skill hf-mcp-domattioli
Connect AI assistants to the Hugging Face Hub via MCP server tools to quickly locate models, datasets, Spaces, and papers, and to orchestrate compute tasks.
Initialize an MCP-enabled workflow to locate a model for a given task and execute a compute job.
High-intent search queries and answers about installing and using this skill.
To search Hugging Face models and datasets from an AI assistant, use MCP server tools to query the Hub, locate repositories, fetch repo details, and retrieve documentation for models, datasets, and Spaces in tool-assisted workflows.
An MCP server connection is used to connect AI assistants to the Hugging Face Hub, enabling them to locate models, datasets, Spaces, and papers, and to orchestrate compute tasks within automated pipelines.
Yes, you can run compute jobs and leverage Gradio Spaces as AI tools within MCP-enabled workflows to orchestrate and execute tasks on the Hugging Face Hub.
Yes, an active MCP server connection is required to fetch Hugging Face repository details, as the workflow uses MCP APIs to perform model searches, retrieve repo details, and run compute jobs.
You can compare Hugging Face Spaces and models for automated pipelines by using MCP server tools to search available options, fetch repository details, and select suitable models for your specific compute task.
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