mcp-hfspace MCP Server 🤗

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.

As an MCP (Model Context Protocol) server, mcp-hfspace MCP Server 🤗 enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

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.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.