Awesome MCPMedia & Creativity

evalstate/mcp-hfspace

⭐ 389 TypeScript added to this list on 2025-05-06 repository created 2024-12-03

The project "mcp-hfspace" is an MCP (Model Context Protocol) server designed to facilitate seamless integration of Hugging Face Spaces with Claude Desktop, enabling a variety of AI tasks such as image generation, vision processing, speech recognition, and chat functionalities with minimal configuration. It acts as a bridge that connects Claude Desktop to Hugging Face Spaces, allowing users to leverage powerful AI models hosted on Hugging Face with ease. The server supports multiple AI modalities including image generation, vision models, text-to-speech, speech-to-text, and chat models, making it versatile for different AI applications. The project provides a simple setup process where users can specify Hugging Face Spaces they want to use, and the server automatically configures the most appropriate endpoints. It supports private spaces through Hugging Face tokens and allows multiple server instances for different configurations. The server operates primarily in "Claude Desktop Mode," where images are returned directly in tool responses and other files are saved in a working directory, with file paths returned to the client. This mode optimizes the user experience when using Claude Desktop as the client. The project also supports Gradio MCP integration, leveraging Gradio's built-in MCP support via Server-Sent Events (SSE). It offers robust file handling capabilities, including uploading and downloading images, audio, and other files, and supports URL inputs for content processing. The server can be configured to specify API endpoints explicitly and can be run locally or integrated with cloud services. Overall, mcp-hfspace simplifies the use of Hugging Face Spaces within the MCP ecosystem, providing a flexible and user-friendly interface for accessing a wide range of AI models and services. It is particularly useful for users of Claude Desktop who want to extend their AI capabilities with minimal setup and configuration.

https://github.com/evalstate/mcp-hfspace

ai-integrationai-modelsai-tasksapi-endpointchatchat-modelsclaude-desktopfile-handlinggradiogradio-mcp-supporthugging-face-spacesimage-generationimage-to-imagemcpmcp-serverminimal-configurationmodel-context-protocolnodejsnpm-packageprivate-spacesprompt-generationresource-managementserver-sent-eventsspeechspeech-to-textssetext-to-speechvisionvision-modelworking-directory

Also in Media & Creativity

heygen-com/hyperframes

HyperFrames is an open-source framework that converts HTML, CSS, and media into deterministic MP4 videos, designed for AI agents and automated content creation workflows.

zcaceres/markdownify-mcp

Markdownify MCP Server is an MCP server that converts various file types and web content into Markdown format, enabling easy content sharing and management within the MCP ecosystem.

samuelgursky/davinci-resolve-mcp

DaVinci Resolve MCP Server is an MCP server that enables AI coding assistants like Cursor and Claude Desktop to control and query DaVinci Resolve through natural language commands.

heshengtao/comfyui_LLM_party

ComfyUI LLM Party is a versatile framework integrating multiple LLMs and MCP server support within ComfyUI to build customizable LLM workflows and AI assistants with social app integration and advanced multi-agent interactions.

MiniMax-AI/MiniMax-MCP

MiniMax-MCP is the official MiniMax Model Context Protocol server enabling MCP clients to interact with advanced AI APIs for text-to-speech, voice cloning, image, and video generation.

elevenlabs/elevenlabs-mcp

The official ElevenLabs MCP server enabling MCP clients to access advanced text-to-speech and audio processing capabilities through ElevenLabs' APIs.

gyoridavid/short-video-maker

Short Video Maker is an open-source tool that automates the creation of short-form videos for social media using the Model Context Protocol and a REST API.

abhiemj/manim-mcp-server

Manim MCP Server is an MCP server that executes Manim animation scripts and returns generated videos, enabling dynamic animation creation through the Model Context Protocol.