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Tools for interacting with Hugging Face models, datasets, research papers, and more.
Hugging Face is an MCP server entry in ChatHome Skills, sourced from Docker MCP Registry and scored 76/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. No automated install command is listed; check the repository for manual setup instructions. Review the last-pushed date and repository status before adding Hugging Face to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
See source docsReview the upstream source before running this command.
{
"raw": "name: hugging-face\ntype: remote\nmeta:\n category: ai\n tags:\n - ai\n - machine-learning\n - models\n - remote\nabout:\n title: Hugging Face\n description: Tools for interacting with Hugging Face models, datasets, research papers, and more.\n icon: https://www.google.com/s2/favicons?domain=hf.co&sz=64\nremote:\n transport_type: streamable-http\n url: https://huggingface.co/mcp\n",
"path": "servers/hugging-face/server.yaml"
}