hf-mcplisted

# Hugging Face MCP Server Connect AI assistants to the Hugging Face Hub. Setup: https://huggingface.co/settings/mcp ## Use Cases & Examples ### Find the Best Model for a Task ``` User: "Find the best model for code generation" 1. model_search(task="text-generation", query="code", sort="trendingScore", limit=10) 2. hub_repo_details(repo_ids=["top-result-id"], include_readme=true) ``` ### Compare Models from Different Providers ``` User: "Compare Llama vs Qwen for text generation" 1. model_search(author="meta-llama", task="text-generation", sort="downloads", limit=5) 2. model_search(author="Qwen", task="text-generation", sort="downloads", limit=5) 3. hub_repo_details(repo_ids=["meta-llama/Llama-3.2-1B", "Qwen/Qwen3-8B"], include_readme=true) ``` ### Find Training Datasets ``` User: "Find datasets for sentiment analysis in English" 1. dataset_search(query="sentiment", tags=["language:en", "task_categories:text-classification"], sort="downloads") 2. hub_repo_details(repo_ids=["top-dataset-id"], repo_type="dataset", include_readme=true) ``` ### Discover AI Tools (MCP Spaces) ``` User: "Find a tool that can remove image backgrounds" 1. space_search(query="background removal", mcp=true) 2. dynamic_space(operation="view_parameters", space_name="result-space-id") 3. dynamic_space(operation="invoke", space_name="result-space-id", parameters="{...}") ``` ### Generate Images ``` User: "Create an image of a robot reading a book" 1. dynamic_space(operation="discover") # S