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TL;DR

Hugging Face is a AI & ML MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent models, datasets, and spaces on HF. Install in 1 minute with mcpizy install huggingface.

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Hugging Face

Install verified

AI & ML

Last updated September 23, 2026 ยท By MCPizy team

Models, datasets, and spaces on HF

Install Hugging Face

Via MCPizy CLI (recommended):
mcpizy install huggingface
Or run directly:
npx -y -p @llmindset/hf-mcp-server hf-mcp-server

Works with

Claude Code
Claude Desktop
Cursor
Windsurf
VS Code + Copilot
Any MCP Client

Frequently asked questions

What is the Hugging Face MCP server?

Hugging Face is listed as an AI & ML Model Context Protocol server whose documented purpose is to let an MCP-compatible agent models, datasets, and spaces on HF. Client support, permissions and authentication remain specific to the upstream project.

How do I install Hugging Face MCP with Claude Code?

The fastest way is the MCPizy CLI: run `mcpizy install huggingface` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `npx -y -p @llmindset/hf-mcp-server hf-mcp-server` and restarting Claude Code.

Does MCPizy charge to view or install Hugging Face MCP?

No. Reading this profile and copying its install guidance is free. Upstream software, API, account or usage costs are separate, and licence coverage should be checked from the linked source when available.

Does Hugging Face MCP work with Cursor and Windsurf?

The MCP standard is supported by those clients, but a specific server can still have client-specific setup or transport limits. Use the configuration shown on this page when present and verify the upstream instructions before installation.

What can I do with Hugging Face MCP?

Its documented purpose is to let an MCP-compatible agent models, datasets, and spaces on HF. The exact tools, permissions and write capabilities depend on the server version and configuration shown by the upstream project.

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