Find and filter models on Hugging Face Hub using queries, authors, and tags. Retrieve relevant models for tasks like text classification or translation with customizable result limits.
Retrieve detailed information about a specific paper by providing its arXiv ID using Hugging Face MCP Server. Streamline access to research data and metadata for efficient academic workflows.
An unofficial MCP server that provides semantic search capabilities for Hugging Face models and datasets, enabling Claude and other MCP-compatible clients to search, discover, and explore the Hugging Face ecosystem using natural language queries.
Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.
An MCP server that provides Hugging Face Hub API and Search endpoints through multiple transport protocols (STDIO, SSE, StreamableHTTP, and StreamableHTTPJson), enabling integration with AI model capabilities.