Hugging Face is an AI community building the future. They provide tools that enable users to build, train and deploy ML models based on open source code and technologies.
JavaScript implementation of MiniMax MCP that enables interaction with MiniMax AI services for image generation, video generation, text-to-speech, and voice cloning through MCP-compatible clients.
Last updated
10
370
123
MIT
Why this server?
Provides Hugging Face agents with tools to search and verify MCP servers.
Enables MCP clients like Claude Desktop and Cursor to interact with MiniMax APIs for generating speech, cloning voices, creating videos, and generating images.
Last updated
6
1,545
MIT
Why this server?
Provides local semantic embeddings using models from Hugging Face (e.g., Xenova/all-MiniLM-L6-v2) for memory search and injection.
Provides tools for evaluating and benchmarking AI explanation methods through a standard interface that can be used with AI assistants and MCP-compatible applications.
Last updated
11
MIT
Why this server?
Downloads FLUX models and related AI models from Hugging Face repositories for image generation workflows.
Enables AI image generation using FLUX models through ComfyUI with GPU acceleration, supporting image generation, 4x upscaling, and background removal with optimized Docker deployment.
Last updated
6
4
MIT
Why this server?
Supports automated ingestion of daily papers from Hugging Face via the pipeline function, which evaluates relevance, generates embeddings, deduplicates content, and integrates them into the knowledge base.
