Inspired by Hugging Face's official MCP server, I've developed a complementary tool that exposes my semantic search API to enhance discovery across the HF platform.
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Inspired by Hugging Face's official MCP server, I've developed a complementary tool that exposes my semantic search API to enhance discovery across the HF platform.
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Key capabilities:
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Key capabilities:
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- AI-powered semantic search for models and datasets
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- AI-powered semantic search for models and datasets
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- Parameter count analysis via safetensors metadata
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- Parameter count analysis via safetensors metadata
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- Trending content discovery
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- Trending content discovery
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- Find similar 
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- Find similar 
models/datasets
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models/datasets
 functionality
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 functionality
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- 11 tools total for enhanced ecosystem navigation
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- 11 tools total for enhanced ecosystem navigation
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The semantic search goes beyond simple keyword matching, understanding context and relationships between different models and datasets.
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The semantic search goes beyond simple keyword matching, understanding context and relationships between different models and datasets.
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Example query: "Find around 10 reasoning Hugging Face datasets published in 2025 focusing on topics other than maths and science. Show a link and a short summary for each dataset." (results in video!) 
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Example query: "Find around 10 reasoning Hugging Face datasets published in 2025 focusing on topics other than maths and science. Show a link and a short summary for each dataset." (results in video!) 
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https://github.com/davanstrien/hub-semantic-search-mcp
https://github.com/davanstrien/hub-semantic-search-mcp
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Inspired by Hugging Face's official MCP server, I've developed a complementary tool that exposes my semantic search API to enhance discovery across the HF platform.

Key capabilities:

- AI-powered semantic search for models and datasets
- Parameter count analysis via safetensors metadata
- Trending content discovery
- Find similar models/datasets functionality
- 11 tools total for enhanced ecosystem navigation

The semantic search goes beyond simple keyword matching, understanding context and relationships between different models and datasets.

Example query: "Find around 10 reasoning Hugging Face datasets published in 2025 focusing on topics other than maths and science. Show a link and a short summary for each dataset." (results in video!) 

https://github.com/davanstrien/hub-semantic-search-mcp
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Rehan Wazir
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