Yes, Huggingface is free to use.

How do I install Huggingface?

Huggingface is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

What AI apps work with Huggingface?

Huggingface uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Huggingface MCP Server

by Pipeworx Io

AI & MLLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

Hugging Face Hub MCP — models, datasets, spaces

About

Hugging Face Hub MCP — models, datasets, spaces

Remote endpoints: streamable-http: https://gateway.pipeworx.io/huggingface/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (341/341 approved). 1 finding(s) downgraded by scanner intelligence.

21 tools verified · Open access · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-pipeworx-io-huggingface": {
      "url": "https://gateway.pipeworx.io/huggingface/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

mcp-huggingface

Hugging Face Hub MCP — models, datasets, spaces

Part of Pipeworx — an MCP gateway connecting AI agents to 250+ live data sources.

Tools

Tool	Description
`search_models`	Browse / search models on the Hub.
`search_datasets`	Browse / search datasets on the Hub.
`search_spaces`	Browse / search Spaces (demo apps).
`get_model`	Detailed model info — config, tags, downloads, files at root.
`get_dataset`	Detailed dataset info.
`get_space`	Detailed Space info.
`list_model_files`	List files at the root of a model repo.
`list_dataset_files`	List files in a dataset repo.
`trending_models`	Currently-trending models on the Hub.
`trending_datasets`	Currently-trending datasets.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "huggingface": {
      "url": "https://gateway.pipeworx.io/huggingface/mcp"
    }
  }
}

Or connect to the full Pipeworx gateway for access to all 250+ data sources:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English:

ask_pipeworx({ question: "your question about Huggingface data" })

The gateway picks the right tool and fills the arguments automatically.

License

MIT

Reviews

No reviews yet

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Huggingface MCP Server

About

Security Report

Findings (1)

Permissions Required

How to Connect

Documentation

mcp-huggingface

Tools

Quick Start

Using with ask_pipeworx

More

License

Reviews

No reviews yet

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