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100
MCP live http

Hugging Face

huggingface

AI model hub for machine learning. Discover models, explore datasets, and access model documentation and capabilities.

Uptime
100.0%
77 probes
Response
337ms
last probe
Tools
7
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://huggingface.co

Tools · 7

hf_whoami

Hugging Face tools are being used anonymously and may be rate limited. Call this tool for instructions on joining and authenticating.

space_search

Find Hugging Face Spaces using semantic search. IMPORTANT Only MCP Servers can be used with the dynamic_space toolInclude links to the Space when presenting the results.

hub_repo_search

Search Hugging Face repositories with a shared query interface. You can target models, datasets, spaces, or aggregate across multiple repo types in one call. Use space_search for semantic-first discov…

hub_repo_details

Get details for one or more Hugging Face repos (model, dataset, or space). Auto-detects type unless specified. For datasets, use operations: overview, dataset_structure, dataset_preview. Use dataset_s…

hf_fs

Navigate Hugging Face resources with ls, cat, find, stat, and search over hf:// URIs. Roots: hf://models, hf://datasets, hf://spaces, hf://buckets, hf://collections, hf://papers. For papers, ls hf://p…

hf_doc_search

Search and Discover Hugging Face Product and Library documentation. Send an empty query to discover structure and navigation instructions. Knowledge up-to-date as at 13 July 2026. Combine with the Pro…

hf_doc_fetch

Fetch a document from the Hugging Face or Gradio documentation library. For large documents, use offset to get subsequent chunks.

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "hugging_face": {
      "url": "https://huggingface.co",
      "transport": "http"
    }
  }
}