Hugging Face Hub
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Provides programmatic access to the Hugging Face Hub API for querying models, datasets, and their associated metadata.
About
Serving as a Model Context Protocol (MCP) server, this tool seamlessly integrates with the Hugging Face Hub API, offering a robust interface to explore and retrieve extensive information. Developers can access and search a vast collection of models and datasets, along with their detailed metadata, facilitating efficient discovery and utilization of AI resources directly from the Hub.
Key Features
- 0 GitHub stars
- Extensive Datasets API for searching, detailed information, parquet files, and Croissant metadata.
- Supports both STDIO and HTTP server modes for diverse usage scenarios.
- Comprehensive Models API for searching, detailed information, and tags.
- Seamless integration with the Hugging Face Hub for public repositories and metadata.
- Dedicated tools for common queries like listing models/datasets and getting specific details.
Use Cases
- Programmatic discovery and integration of AI models from Hugging Face Hub.
- Efficient searching and retrieval of datasets for machine learning projects.
- Accessing detailed metadata, such as model tags or dataset Croissant files, for analysis.
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