
davanstrien/hub-semantic-search-mcp
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: This is an MCP server inspired by Hugging Face's official MCP server. It may be deprecated at any time if official functionality supersedes it. For the official server, see hf.co/mcp.
Обзор
: This is an MCP server inspired by Hugging Face's official MCP server. It may be deprecated at any time if official functionality supersedes it. For the official server, see hf.co/mcp. An MCP (Model Context Protocol) server that provides semantic search capabilities for Hugging Face models and datasets. This server enables Claude and other MCP-compatible clients to search, discover, and explore the Hugging Face ecosystem using natural language queries. - : AI-powered similarity search (not just keyword matching) - : Find datasets based on natural language descriptions - : Find models with optional parameter count filtering - : Find similar models/datasets to a given one - : Get currently trending models and datasets - : Access comprehensive technical information via HuggingFace API - : Download README cards for detailed information - search_datasets: Search datasets using natural language queries - find_similar_datasets: Find datasets similar to a specified one -...
README
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Hugging Face Hub Semantic Search MCP Server
⚠️ Note: This is an unofficial MCP server inspired by Hugging Face’s official MCP server. It may be deprecated at any time if official functionality supersedes it. For the official server, see hf.co/mcp.
An MCP (Model Context Protocol) server that provides semantic search capabilities for Hugging Face models and datasets. This server enables Claude and other MCP-compatible clients to search, discover, and explore the Hugging Face ecosystem using natural language queries.
Features
- Semantic Search: AI-powered similarity search (not just keyword matching)
- Dataset Search: Find datasets based on natural language descriptions
- Model Search: Find models with optional parameter count filtering
- Similarity Search: Find similar models/datasets to a given one
- Trending Content: Get currently trending models and datasets
- Detailed Metadata: Access comprehensive technical information via HuggingFace API
- Model/Dataset Cards: Download README cards for detailed information
Tools Available
Dataset Tools
search_datasets: Search datasets using natural language queriesfind_similar_datasets: Find datasets similar to a specified oneget_trending_datasets: Get currently trending datasetsget_dataset_info: Get detailed metadata for a specific datasetdownload_dataset_card: Download README card for a dataset
Model Tools
search_models: Search models using natural language queries with parameter filteringfind_similar_models: Find models similar to a specified oneget_trending_models: Get currently trending models with parameter filteringget_model_info: Get detailed metadata for a specific modelget_model_safetensors_metadata: Get model architecture details and parameter count from safetensorsdownload_model_card: Download README card for a model
Installation
Prerequisites
- UV - Fast Python package installer
- Claude Desktop or another MCP-compatible client
Quick Start
No installation needed! UV will automatically fetch and run the server.
Configuration
Claude Desktop Setup
Add the following to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"huggingface-hub-search": {
"command": "uvx",
"args": [
"git+https://github.com/davanstrien/hub-semantic-search-mcp.git"
],
"env": {
"HF_SEARCH_API_URL": "https://davanstrien-huggingface-datasets-search-v2.hf.space"
}
}
}
}
Alternative: Local Development Setup
If you want to contribute or modify the code:
# Clone the repository
git clone https://github.com/davanstrien/hub-semantic-search-mcp.git
cd hub-semantic-search-mcp
# Install dependencies with UV
uv sync
Установка
uvx git+https://github.com/davanstrien/hub-semantic-search-mcp.gitКонфигурация
{
"mcpServers": {
"huggingface-hub-search": {
"command": "uvx",
"args": [
"git+https://github.com/davanstrien/hub-semantic-search-mcp.git"
],
"env": {
"HF_SEARCH_API_URL": "https://davanstrien-huggingface-datasets-search-v2.hf.space"
}
}
}
}