What is mcp-hfspace?
mcp-hfspace is a server designed to facilitate the use of HuggingFace spaces with minimal configuration, particularly in Claude Desktop mode for generating images and handling files.
How to use mcp-hfspace?
To use mcp-hfspace, you can either install it via NPX with the command npx @llmindset/mcp-hfspace or download and build it from the provided GitHub repository. Configuration involves adding your desired HuggingFace spaces and running the server.
Key features of mcp-hfspace?
- Seamless integration with HuggingFace spaces
- Supports file handling in Claude Desktop mode
- Multiple server instances and configurations for diverse use cases
- Supports private HuggingFace spaces with authentication tokens
Use cases of mcp-hfspace?
- Generating and downloading images using AI models.
- Uploading images for analysis and returning results.
- Transcribing audio files and generating text outputs.
- Managing multiple HuggingFace spaces for varied tasks.
FAQ from mcp-hfspace?
- Can I run multiple instances of mcp-hfspace?
Yes, you can run multiple server instances by configuring different working directories and tokens.
- How do I use private HuggingFace spaces with mcp-hfspace?
You need to provide your HuggingFace token either as an argument or as an environment variable.
- What should I do if the server times out?
Check your working directory for saved results, and consider adjusting the settings to avoid long tasks exceeding timeout limits.