Database · MODEL CONTEXT PROTOCOL
kukapay hf trending mcp
An MCP server that tracks trending AI models, datasets, and spaces on Hugging Face.
WHAT IT CONNECTS
What kukapay hf trending mcp gives an AI Agent
- **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.
- **Clone the Repository**:
- **Install Dependencies**:
- **Client Configuration**:
- **`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.
- **`analyze_trends()`**: Guides the analysis of trending items with a structured prompt.
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.
README
Repository documentation
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.
- 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.
-
Clone the Repository:
git clone https://github.com/kukapay/hf-trending-mcp.git cd hf-trending-mcp -
Install Dependencies:
pip install mcp[cli] httpx
-
Client Configuration:
"mcpServers": { "hf-trending-mcp": { "command": "python", "args": [ "path/to/hf-trending-mcp/main.py" ] } }
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:
Input:
"Show me the top 5 trending models on Hugging Face."
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:
"What are the top 10 trending datasets right now?"
Output:
imdb (Downloads: 45678, Likes: 2345)
Tags: nlp, sentiment-analysis
squad (Downloads: 34567, Likes: 1987)
Tags: nlp, question-answering
...
Input:
"List the top 3 trending spaces."
Output:
gradio/image-classifier (Likes: 890, SDK: Gradio)
Tags: demo, vision
streamlit/text-generator (Likes: 765, SDK: Streamlit)
Tags: nlp, demo
...
Input:
"Search for trending NLP models, limit to 5."
Output:
bert-base-uncased (Likes: 456)
Tags: nlp, transformer
distilbert-base-uncased (Likes: 321)
Tags: nlp, transformer
...
Input:
"Find trending datasets about computer vision."
Output:
coco (Likes: 1234)
Tags: computer-vision, object-detection
imagenet-1k (Likes: 987)
Tags: computer-vision, classification
...
Input:
"Analyze the current trends on Hugging Face."
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.
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.
analyze_trends(): Guides the analysis of trending items with a structured prompt.
This project is licensed under the MIT License. See the LICENSE file for details.
COMMUNITY