MCP server exposing 10 tools for huggingface.
This URL is a JSON-RPC 2.0 endpoint over HTTP. Issue POST requests with a JSON-RPC body. Browsers and search crawlers land here on GET.
POST https://gateway.pipeworx.io/huggingface/mcp
Content-Type: application/json
{"jsonrpc":"2.0","id":1,"method":"tools/list"}search_models — Search Hugging Face Hub models with filters for author, library (transformers/diffusers/…), language, pipeline_tag (text-generation/…), and tags; sort by downloads, likes, or trending_score.search_datasets — Search Hugging Face Hub datasets with filters for author, language, and task_categories; sort by downloads, likes, or lastModified; returns dataset id, downloads, likes, and tags.search_spaces — Search Hugging Face Spaces (demo apps) with filters for author and SDK (gradio/streamlit/docker/static); returns space id, sdk, runtime status, and likes.get_model — Detailed model info — config, tags, downloads, files at root.get_dataset — Detailed Hugging Face dataset metadata by repo_id (e.g. "squad") and optional revision; returns card data, tags, downloads, task categories, and file list.get_space — Detailed Hugging Face Space metadata by repo_id (e.g. "stabilityai/stable-diffusion") and optional revision; returns sdk, runtime status, likes, and linked models.list_model_files — List files at the root of a model repo.list_dataset_files — List files in a Hugging Face dataset repository by repo_id and optional revision/subdirectory path; returns filename, size, and blob SHA for each file.trending_models — Currently-trending models on the Hub.trending_datasets — Currently-trending datasets.Code samples (curl / TypeScript / one-click client install), schemas, and the live playground are on the pack page:
https://pipeworx.io/packs/huggingface/
Pipeworx is an open MCP gateway connecting AI agents to live data. pipeworx.io