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Comparison

Hugging Face vs data-science-team

Hugging Face is an MCP server published by docker. Marketplaces we read that list it: 1 (Docker MCP Catalog). data-science-team is a plugin bundle for AI coding tools published by tonone-ai. Marketplaces we read that list it: 1 (Community GitHub marketplaces). As of our marketplace pass on 2026-11-09. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplaceHugging Facedata-science-team
Docker MCP Catalog Listed
Version: not stated
No figure published
Not marked · First seen
Not listed
Community marketplace tonone-ai/tonone Not listed Listed
Version: 1.19.0
Forks (GitHub): 11
Stars (GitHub): 77
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

Hugging Face vs data-science-team
FactHugging Facedata-science-team
Marketplaces that list it11
Stars (GitHub) (differs)No figure on GitHub77
Forks (GitHub) (differs)No figure on GitHub11
Last releaseNot publishedNot published
Where it runs (differs)Remote server (huggingface.co/mcp)Installs as a plugin bundle
Transport (differs)Streamable HTTPNot stated
Tools it declares (differs)4Not published
Environment variables it asks forNot publishedNot published
Licence (differs)Apache-2.0MIT
Repository (differs)Not statedgithub.com/tonone-ai/tonone
Changes in the last 7 days (differs)02
First seen (differs)2026-10-112026-11-09
Endpoint at the last check (differs)Responded less than an hour agono remote endpoint we check

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

Hugging Face

In its own words, on Docker MCP Catalog:

Tools for interacting with Hugging Face models, datasets, research papers, and more.

data-science-team

In its own words, on Community GitHub marketplaces:

Data Science Team bundle — 10 agents: Cast, Feat, Fit, Score, Drift, Vect, Tune, Plot, Clean, Eval

How to run each

Hugging Face As a remote MCP server

Claude Code
claude mcp add --transport http hugging-face https://huggingface.co/mcp

data-science-team As a Claude Code plugin

Claude Code
/plugin marketplace add tonone-ai/tonone
/plugin install data-science-team@tonone-ai

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Only Hugging Face has a remote endpoint we check. How we check endpoints

Tools each declares

Neither the marketplaces of data-science-team nor its endpoint list any tools, so we do not compare tools.

Settings each asks for

Neither one's marketplaces publish the settings it asks for.

What it can do: Hugging Face · What it can do: data-science-team · Compare two other plugins

Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built