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Comparison

Hugging Face vs autoresearch

Hugging Face is an MCP server published by docker. Marketplaces we read that list it: 1 (Docker MCP Catalog). autoresearch is a plugin bundle for AI coding tools published by pjhoberman. Marketplaces we read that list it: 2 (Claude Code: claude-plugins-community, Community GitHub marketplaces). As of our marketplace pass on 2026-10-20. 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
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: 1.2.0
Forks (GitHub): 1
Stars (GitHub): 22
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
FactHugging Faceautoresearch
Marketplaces that list it (differs)1 (worse)2 (better)
Stars (GitHub) (differs)No figure on GitHub22
Forks (GitHub) (differs)No figure on GitHub1
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
Parts of the bundle (differs)Not a bundle2
Licence (differs)Apache-2.0MIT
Repository (differs)Not statedgithub.com/pjhoberman/autoresearch
Changes in the last 7 days (differs)02
First seen2026-10-112026-10-11
Endpoint at the last check (differs)Responded 4 days 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.

autoresearch

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

Autonomous experiment loops on any codebase — one file, one metric, one loop. An agent edits a constrained file, runs an eval, keeps improvements, reverts failures, and repeats unattended. Based on Karpathy’s autoresearch pattern, generalized beyond ML training to any code with a measurable outcome.

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 As a Claude Code plugin

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

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 autoresearch 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: autoresearch · 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