mcp-hfspace is an MCP server that connects to Hugging Face Spaces, supporting various AI functions such as image generation, speech processing, and visual models, simplifying the integration with Claude Desktop.

An MCP server for accessing and operating on Hugging Face datasets

An MCP server that provides read-only access to the Hugging Face Hub API, supporting resources such as LLM interaction models and datasets.

The MCP service tool collection provides API call functions for AI services on Hugging Face and Dify, supporting various NLP, CV, and speech processing tasks.

A tool that uses AI to generate game assets, supports 2D and 3D asset creation, and integrates Hugging Face and the MCP protocol.

An unofficial Hugging Face Hub semantic search MCP server that provides model and dataset search functionality based on natural language queries for MCP-compatible clients such as Claude.

trackio-mcp is a Python package that provides MCP (Model Context Protocol) server support for the trackio experiment tracking tool, enabling AI agents to observe and interact with trackio experiments through the MCP protocol. It can automatically enable the MCP server functionality by a simple import without modifying existing code, and supports local and Hugging Face Spaces deployment.

MCP-hfspace is a server tool that simplifies the connection to Hugging Face Spaces. It supports multiple AI functions such as image generation, speech processing, and vision models, and seamlessly integrates with Claude Desktop.

The Hugging Face MCP Server is a model context protocol service that provides read-only access to the Hugging Face Hub API, enabling LLMs like Claude to interact with Hugging Face's models, datasets, spaces, papers, and collections.

OpenGenes-MCP is a server based on the Model Context Protocol (MCP), which provides a standardized interface for the OpenGenes database to access data on aging and longevity research. The server automatically downloads the latest OpenGenes database from the Hugging Face Hub to ensure that users can always access the latest data. The database contains experimental data on lifespan changes, gene classification standards, associations with aging markers, and longevity-related research. It supports converting natural language queries into SQL queries, making it convenient for researchers and AI assistants to use.

A lightweight application based on Gradio that uses Hugging Face Transformers for sentiment analysis and sarcasm detection, compatible with the MCP architecture and can run on CPUs.