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
418
123
MIT
Why this server?
Connects to MiniMax's Hugging Face organization to access related models and resources
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
1,527
MIT
Why this server?
Provides access to Hugging Face's model inference API.
Wisp AI Assistant MCP Server is a local MCP server that gives trusted AI clients read-only desktop context through Wisp: selected text, clipboard contents, active-window details, visible browser-page text, and screen snippets.
Last updated
5
5
MIT
Why this server?
Integrates with Hugging Face Papers to list daily trending papers, access AI summaries, and retrieve detailed paper information.
MCP server that brings AI paper reading and code repository discovery from Hugging Face Papers into any MCP-compatible client.
Last updated
4
MIT
Why this server?
Enables using Hugging Face's free tier text-to-image models as a backend for generating pixel art, configurable via HF_TOKEN and HF_MODEL environment variables.
An MCP server that generates pixel-art PNGs from text prompts, using a free image backend, and saves them directly to your project directory.
Last updated
2
MIT
Why this server?
Provides read-only access to Hugging Face Hub APIs, allowing interaction with models, datasets, spaces, papers, and collections. Includes tools for searching and retrieving detailed information across these resource types.
A Model Context Protocol server that provides Claude and other LLMs with read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections through natural language.
Last updated
10
71
MIT
Why this server?
Allows retrieval of daily featured papers, trending models, and popular datasets from Hugging Face Hub, providing insights into the latest developments in machine learning models.
Enables real-time tracking of AI/LLM research progress by searching and aggregating content from arXiv, GitHub, Hugging Face, and Papers with Code. Supports intelligent search, automated daily/weekly research summaries, and covers 15+ AI research areas with smart caching.
Last updated
8
MIT
Why this server?
Allows for the safety inspection of machine learning models hosted on Hugging Face by scanning direct resolve URLs for malicious artifacts and deserialization risks.
ModelSafetyMCP is an MCP server for scanning machine learning model artifacts for unsafe serialization, malicious model patterns, risky packaging, URL-based artifact scanning, and directory-level triage.
Last updated
6
1
MIT
Why this server?
Enables ML model training, dataset management, and interaction with the Hugging Face Hub through specialized agent skills.
Provides access to over 100 curated AI agent skills from organizations like Anthropic, Vercel, and Hugging Face. It enables AI assistants to perform specialized tasks including document processing, security analysis, and web development through a standardized interface.
