H
Hugging Face MCP
39
Stack Score
Editorial pick✓ Verified workingMCP server
Hugging Face MCP
Models + datasets + spaces via Hugging Face.
Best for
Best for ML engineers + AI app builders working in the HF ecosystem.
At a glance
- Pricing
- open-source
- Setup time
- 15 minutes
- Learning curve
- easy
- Last verified
- 5/27/2026
What we love
- ✓HF-maintained
- ✓Largest OSS model + dataset hub
- ✓Spaces deploy exposed
Where it falls short
- −Many endpoints rate-limited
- −Inference endpoints cost separately
- −Permission scopes vary
Install & connect
Copy-paste ready
Install
shell
npx -y mcp-remote https://huggingface.run.tools
Config — Claude Desktop
json
{
"mcpServers": {
"huggingface": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://huggingface.run.tools"]
}
}
}Config — Claude Code
shell
claude mcp add --transport http huggingface https://huggingface.run.tools
Pricing
✓ Pricing verified Jun 14, 20261 tier
Open-source
$0
perpetual
- ✓Apache 2.0
Overview
MCP server for Hugging Face — model + dataset lookup, inference endpoints, Spaces deploys, file upload + download. HF token.
Key features
- ●Model + dataset lookup
- ●Inference endpoints
- ●Spaces deploy
- ●File upload + download
- ●HF token
Exposed tools
The MCP-tool names this server exposes. Your agent can invoke any of these when this server is connected.
- hf_whoamiGet authentication info for the current Hugging Face user.
- space_searchFind Hugging Face Spaces using semantic search.
- hub_repo_searchSearch Hugging Face repositories.
- hub_repo_detailsGet details for one or more Hugging Face repos (model, dataset, or space).
- paper_searchFind ML research papers on the Hugging Face hub.
- hf_doc_searchSearch Hugging Face product and library documentation.
- hf_doc_fetchFetch a document from HF or Gradio docs.
- gr1_z_image_turbo_generateGenerate an image using the Z-Image model.
Best use cases
Browse + run OSS models
Let Claude browse HF, pick a model, run inference.
Dataset preparation
Pull HF datasets into Claude for training prep.
Integrations
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