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Hugging Face vs autoresearch-ai-plugin

Hugging Face is an MCP server published by docker. Marketplaces we read that list it: 1 (Docker MCP Catalog). autoresearch-ai-plugin is a plugin bundle for AI coding tools published by proyecto26. Marketplaces we read that list it: 2 (Claude Code: claude-plugins-community, Community GitHub marketplaces). As of our marketplace pass on 2026-10-15. 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 Faceautoresearch-ai-plugin
Docker MCP Catalog Listed
Version: not stated
No figure published
Not marked · First seen
Not listed
Claude Code: claude-plugins-community Not listed Listed
Version: 0.3.2
Forks (GitHub): 2
Stars (GitHub): 13
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 autoresearch-ai-plugin
FactHugging Faceautoresearch-ai-plugin
Marketplaces that list it (differs)1 (worse)2 (better)
Stars (GitHub) (differs)No figure on GitHub13
Forks (GitHub) (differs)No figure on GitHub2
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
Hooks it runs (differs)Not published1
Parts of the bundle (differs)Not a bundle5
Licence (differs)Apache-2.0MIT
Repository (differs)Not statedgithub.com/proyecto26/autoresearch-ai-plugin
Changes in the last 7 days (differs)02
First seen2026-10-112026-10-11
Endpoint at the last check (differs)not checked yetno 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.

autoresearch-ai-plugin

In its own words, on Claude Code: claude-plugins-community:

Autonomous experiment loop for Claude Code. Run an endless optimize-measure-keep/discard cycle on any optimization target: LLM training loss, test speed, bundle size, build time, and more.

How to run each

Hugging Face As a remote MCP server

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

autoresearch-ai-plugin As a Claude Code plugin

Claude Code
/plugin marketplace add anthropics/claude-plugins-community
/plugin install autoresearch-ai-plugin@claude-community

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

Tools each declares

The marketplaces of autoresearch-ai-plugin publish no list of 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: autoresearch-ai-plugin · Compare two other plugins

Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. 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