davanstrien-huggingface-hub-search
Provides semantic search capabilities for Hugging Face models and datasets using vector embeddings to find resources through natural language descriptions, similarity-based discovery, and trending content retrieval with detailed metadata extraction.
- Score
- 75.4672 signals
- Evidence
- 20 stars · 4 forks
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
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What it is
MCP server Hugging Face Hub Search, catalogued on PulseMCP. Provides semantic search capabilities for Hugging Face models and datasets using vector embeddings to find resources through natural language descriptions, similarity-based discovery, and trending content retrieval with detailed metadata extraction.
When to use it
Provides semantic search capabilities for Hugging Face models and datasets using vector embeddings to find resources through natural language descriptions, similarity-based discovery, and trending content retrieval with detailed metadata extraction.
Notes
Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.