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mcp-hfspace MCP Server


Introduction:

mcp-hfspace is an MCP server that connects to Hugging Face Spaces, simplifying configuration and supporting multiple functionalities such as image generation and speech transcription.

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mcp-hfspace MCP Server

mcp-hfspace MCP Server is a bridge that connects Claude Desktop and Hugging Face Spaces. It aims to simplify the integration process with Hugging Face Spaces, allowing users to easily use various models and services provided by Hugging Face Spaces in Claude Desktop, such as image generation, text-to-speech, speech-to-text, and visual models.

Main Features:

  • Connect to Hugging Face Spaces: Allows Claude Desktop to connect and use models and services in Hugging Face Spaces with simple configuration.
  • Automatic Configuration: Can automatically find suitable API endpoints and configure them.
  • File Processing: Supports file upload and download, handling files such as images and audio.
  • Claude Desktop Mode: A mode specifically designed for Claude Desktop, where images are directly returned to Claude's context window, and other files are saved to the working directory with file paths returned.
  • Support for Private Spaces: Can access and use private Spaces using a Hugging Face Token.
  • Flexible Configuration: Allows users to customize the working directory, API endpoints, etc.

Use Cases:

mcp-hfspace MCP Server can be applied in various scenarios, including:

  • Image Generation: Utilize image generation models from Hugging Face Spaces, such as FLUX.1-schnell, shuttleai/shuttle-3.1-aesthetic, etc., to generate high-quality images.
  • Visual Tasks: Use visual models like OmniParser, paligemma2-vqav2, etc., for image analysis, object detection, and other tasks.
  • Text-to-Speech (TTS): Convert text to speech, such as using the parler-tts/parler_tts model.
  • Speech-to-Text (STT): Convert speech to text, such as using the hf-audio/whisper-large-v3-turbo model.
  • Text-to-Music: Generate music from text, such as using the haoheliu/audioldm2-text2audio-text2music model.
  • Chat: Conduct conversations using large language models (LLMs), such as Qwen/Qwen2.5-72B-Instruct or prithivMLmods/Mistral-7B-Instruct-v0.3.
  • Multimodal Tasks: Combine the contextual understanding capabilities of Claude Desktop with models provided by Hugging Face Spaces to accomplish more complex tasks, such as combining image generation and analysis.

In summary, mcp-hfspace MCP Server provides a convenient way to combine the powerful features of Claude Desktop and Hugging Face Spaces, extending Claude Desktop's capabilities and enabling users to more easily use various AI models and services.