HF Trending MCP Server

An MCP server that tracks trending models, datasets, and spaces on Hugging Face.

It provides tools and prompts to fetch trending content, search for specific items, and analyze current trends, making it a valuable tool for developers, researchers, and AI enthusiasts.

Features

• Trending Tools: Retrieve the top trending models, datasets, and spaces with customizable limits.
• Search Functionality: Search trending items by query across models, datasets, or spaces.
• Trend Analysis Prompt: A built-in prompt to analyze and summarize current trends on Hugging Face.

Installation

Setup

1. Clone the Repository:

   git clone https://github.com/kukapay/hf-trending-mcp.git
   cd hf-trending-mcp

2. Install Dependencies:

   pip install mcp[cli] httpx

3. Client Configuration:

   "mcpServers": { 
     "hf-trending-mcp": { 
       "command": "python", 
       "args": [ "path/to/hf-trending-mcp/main.py" ]
     } 
   }
   

Usage

Once the server is running or installed, you can interact with it using an MCP client (e.g., Claude Desktop). Below are some example prompts:

Fetch Trending Content

Input:

Output:

google/vit-base-patch16-224 (Downloads: 12345, Likes: 678)
Tags: vision, transformer

facebook/detr-resnet-50 (Downloads: 9876, Likes: 543)
Tags: object-detection, transformer
...

Input:

Output:

imdb (Downloads: 45678, Likes: 2345)
Tags: nlp, sentiment-analysis

squad (Downloads: 34567, Likes: 1987)
Tags: nlp, question-answering
...

Input:

Output:

gradio/image-classifier (Likes: 890, SDK: Gradio)
Tags: demo, vision

streamlit/text-generator (Likes: 765, SDK: Streamlit)
Tags: nlp, demo
...

Search Trending Items

Input:

Output:

bert-base-uncased (Likes: 456)
Tags: nlp, transformer

distilbert-base-uncased (Likes: 321)
Tags: nlp, transformer
...

Input:

Output:

coco (Likes: 1234)
Tags: computer-vision, object-detection

imagenet-1k (Likes: 987)
Tags: computer-vision, classification
...

Analyze Trends

Input:

Output:

A detailed response combining results from all trending tools, followed by an analysis (generated by the client’s AI):

Top Trending Models:
google/vit-base-patch16-224 (Downloads: 12345, Likes: 678)
Tags: vision, transformer
...

Top Trending Datasets:
imdb (Downloads: 45678, Likes: 2345)
Tags: nlp, sentiment-analysis
...

Top Trending Spaces:
gradio/image-classifier (Likes: 890, SDK: Gradio)
Tags: demo, vision
...

Summary: Vision models like ViT are trending, likely due to recent advancements in image processing. NLP datasets remain popular for text-based AI research, and Gradio spaces are gaining traction for interactive demos.

API Details

Tools

• get_trending_models(limit: int = 10): Fetches trending models with downloads, likes, and tags.
• get_trending_datasets(limit: int = 10): Fetches trending datasets with downloads, likes, and tags.
• get_trending_spaces(limit: int = 10): Fetches trending spaces with likes, SDK info, and tags.
• search_trending(query: str, type: str = "models", limit: int = 10): Searches trending items by query and type.

Prompt

• analyze_trends(): Guides the analysis of trending items with a structured prompt.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Shared threads will appear here, showcasing real-world applications and insights from the community. Check back soon for updates!