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Hugging Face Hub

Search Hugging Face models, datasets and spaces.

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About

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Hugging Face Hub is a Model Context Protocol server in the Data & Databases category. It lets AI assistants that speak MCP call its tools and read its resources over STDIO.

Example tools

Illustrative tool names — the actual tool set is defined by the server at runtime.

query
Run a read-only SQL query
list_tables
List tables in the connected database
describe_table
Return column info for a table

Screenshots

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Frequently Asked Questions

Common questions about Hugging Face Hub.

What is the Hugging Face Hub MCP and what are its primary functions?
The Hugging Face Hub MCP enables programmatic searching of models, datasets, and spaces hosted on the Hugging Face platform. It facilitates discovery and integration of AI assets directly from other client applications configured with the MCP.
How do I authenticate with the Hugging Face Hub MCP?
Authentication to the Hugging Face Hub MCP requires an API key. This key should be obtained from your Hugging Face account settings and configured within your MCP client application.
What capabilities does the Hugging Face Hub MCP provide?
This MCP's primary capability is to search for Hugging Face models, datasets, and spaces. It provides a standardized interface for clients to discover and utilize these resources.
Are there any costs associated with using the Hugging Face Hub MCP?
The Hugging Face Hub MCP itself is open source and free to use. However, costs may be associated with the underlying Hugging Face services, depending on your usage and any premium features you opt for on the Hugging Face platform.
What is a typical limitation when using the Hugging Face Hub MCP?
A realistic limitation is that the MCP's search capabilities are dependent on the Hugging Face Hub API. Advanced filtering or specific deep dives into model architectures might require direct interaction with the Hugging Face website.
How can I integrate the Hugging Face Hub MCP with a client like Cline?
Integration with Cline (or similar clients) generally involves configuring the MCP server address and providing your Hugging Face API key within the client's settings. Consult the Cline documentation for specific steps on adding an MCP via standard I/O transport.

Install Hugging Face Hub

Claude Desktop

Add this to claude_desktop_config.json.

{
  "mcpServers": {
    "huggingface-hub": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-huggingface-hub"
      ]
    }
  }
}

Cursor

Add this to ~/.cursor/mcp.json.

{
  "mcpServers": {
    "huggingface-hub": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-huggingface-hub"
      ]
    }
  }
}

VS Code

Add this to your workspace settings.json.

{
  "mcp.servers": {
    "huggingface-hub": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-huggingface-hub"
      ]
    }
  }
}

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