A
licenseNot graded
qualityD
maintenanceProvides direct access to the Hugging Face Hub for searching models and datasets, fetching metadata, and running inference on text, images, and audio.
MIT
Hugging Face Hub MCP Server
by michaelwaves
Related Servers
Alternatives to Hugging Face Hub MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityFmaintenanceEnables interaction with the Hugging Face Dataset Viewer API, allowing users to browse, search, filter, and analyze datasets hosted on the Hugging Face Hub.831MIT
- AlicenseNot gradedqualityBmaintenanceSearch and retrieve models, datasets, and spaces from Hugging Face Hub. Enables browsing trending items and getting detailed info on repos.13 npmMIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables access to 200,000+ machine learning models through the Hugging Face Inference API. Supports text generation, image creation, classification, translation, speech processing, embeddings, and more AI tasks.-
- AlicenseAqualityAmaintenanceEnables assistants to search, fetch daily curated lists, retrieve metadata, and generate citations for Hugging Face papers.618 npmMIT
- FlicenseAqualityDmaintenanceAn MCP server for the Hugging Face Dataset Viewer API that enables searching, fetching, and filtering datasets on the Hugging Face Hub. It allows users to explore schemas, perform full-text searches, and analyze dataset statistics through natural language.10-
TDQS
A3.6/5.0
Scored across 8 tools
Disambiguation5/5
Each tool has a clearly distinct purpose with no overlap: there are separate tools for datasets vs. models, and within each category, tools for getting info, listing all, getting tags, and dataset-specific tools for Croissant metadata and parquet files. The descriptions make the boundaries explicit, preventing misselection.
Naming Consistency5/5
All tools follow a consistent 'hf_' prefix with verb_noun pattern (e.g., hf_get_dataset_info, hf_list_models). The naming is uniform across the set, using snake_case and clear verbs like 'get', 'list', and 'get' for specific actions, making it predictable and readable.
Tool Count5/5
With 8 tools, this server is well-scoped for interacting with the Hugging Face Hub. It covers core operations for datasets and models (info, listing, tags) plus dataset-specific features like Croissant and parquet files, avoiding bloat while providing essential functionality.
Completeness4/5
The tool set covers read operations comprehensively for datasets and models, including metadata, listings, tags, and file access. A minor gap is the lack of write operations (e.g., upload or modify datasets/models), but for a read-focused server, it handles the domain well with no dead ends.
Maintenance
ActivityInactive
ResponsivenessNo issues