MCP server
Huggingface
io.github.pipeworx-io/huggingface
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Hugging Face Hub MCP — models, datasets, spaces
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 27,910 tokens per request once connected52 tools
https://gateway.pipeworx.io/huggingface/mcp
At a glance
- Type
- MCP server
- Publisher
- pipeworx.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 52
- Token cost
- About 27,910 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http huggingface https://gateway.pipeworx.io/huggingface/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.huggingface] url = "https://gateway.pipeworx.io/huggingface/mcp"
Gemini CLI
{"mcpServers":{"huggingface":{"httpUrl":"https://gateway.pipeworx.io/huggingface/mcp"}}}
Cursor
{"mcpServers":{"huggingface":{"url":"https://gateway.pipeworx.io/huggingface/mcp"}}}
VS Code
{"servers":{"huggingface":{"type":"http","url":"https://gateway.pipeworx.io/huggingface/mcp"}}}
Antigravity
agy mcp add huggingface https://gateway.pipeworx.io/huggingface/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"huggingface","server_url":"https://gateway.pipeworx.io/huggingface/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"huggingface","server_url":"https://gateway.pipeworx.io/huggingface/mcp"}
Tools
get_dataset~119 tokens
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_model~123 tokens
Detailed model info — config, tags, downloads, files at root.get_space~122 tokens
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_dataset_files~126 tokens
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.list_model_files~213 tokens
Hugging Face Hub API — list the files in a model repository at a given revision (branch, tag or commit; main by default) and optional subdirectory path. Returns each entry's path, type, byte size and blob SHA, including LFS details for weight shards. Answers which weight, config and tokenizer filessearch_datasets~221 tokens
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_models~384 tokens
Search Hugging Face Hub models with filters for author, library (transformers/diffusers/…), language, pipeline_tag (text-generation/…), and tags; sort by downloads, likes, or trendingScore.search_spaces~177 tokens
Search Hugging Face Spaces (demo apps) with filters for author and SDK (gradio/streamlit/docker/static); returns space id, sdk, runtime status, and likes.trending_datasets~60 tokens
Currently-trending datasets.trending_models~62 tokens
Currently-trending models on the Hub.
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