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MCP server for semantic search of Hugging Face models and datasets
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Find datasets similar to a specified dataset.
Find models similar to a specified model.
Get safetensors metadata for a HuggingFace model to understand model architecture and parameter count. This tool parses the safetensors file header to extract detailed information about: - Model parameter count and size breakdown by layer - Tensor shapes and data types (float16, bfloat16, etc.) - Layer names and architecture structure - Memory requirements and model size Useful for understanding model complexity, memory needs, and architectural details.
Get trending datasets with their summaries.
Get trending models with their summaries and optional filtering.
Search for datasets using semantic/similarity search based on a text query. This uses AI-powered semantic search to find datasets whose descriptions are semantically similar to your query, not just keyword matching.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 10 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 0 | - | v1 |
Search for models using semantic/similarity search based on a text query with optional parameter count filtering. This uses AI-powered semantic search to find models whose descriptions are semantically similar to your query, not just keyword matching.