HuggingFace Spaces

Community

Server for using HuggingFace Spaces, supporting Open Source Image, Audio, Text Models and more

About HuggingFace Spaces MCP Server

The HuggingFace Spaces MCP server provides a comprehensive interface for AI applications to interact with huggingface spaces features. It enables AI assistants to help with various tasks related to development workflows.

Features

Tools
Resources

Category

Development
Getting Started

To use the HuggingFace Spaces MCP server in your AI application, follow these steps:

  1. Install the MCP client SDK for your platform
  2. Connect to the HuggingFace Spaces MCP server
  3. Authenticate with your HuggingFace Spaces credentials
  4. Start using the tools, resources, and prompts provided by the server

Example Code


// Connect to the HuggingFace Spaces MCP server
const server = await mcp.connect("huggingface spaces");

// Authenticate
await server.authenticate();

// Use a tool
const result = await server.tools.listRepositories({
  // Parameters
});

// Access a resource
const resource = await server.resources.repositoryContent({
  // Parameters
});

// Use a prompt
const response = await server.prompts.summarizePR({
  // Parameters
});
                      
Installation

npm

npm install @mcp/server-huggingface spaces

pip

pip install mcp-server-huggingface spaces
Compatible With
Claude for Desktop
Perplexity
Cursor
MCP Agent Framework