Comparison

superRA vs Zotero MCP

superRA is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑27.

superRA is a plugin bundle for AI coding tools published by Julie Zhiyu Fu. No marketplace we read lists it any more. Zotero MCP is an MCP server published by 54yyyu. Marketplaces we read that list it: 2 (Official MCP Registry, PyPI (MCP servers)). As of our marketplace pass on 2026-11-15. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.

Where each is published

Where each is published
Marketplace	superRA	Zotero MCP
Community marketplace fuzhiyu/superra	Removed on 2026-10-27 Version: 0.5.0 Forks (GitHub): 2 Stars (GitHub): 11 Not marked · First seen 2026-10-19	Not listed
Official MCP Registry	Not listed	Listed Version: 0.17.2 Downloads/month (PyPI): 20 314 Downloads/week (PyPI): 7 650 Forks (GitHub): 465 Stars (GitHub): 5 915 Not marked · First seen 2026-10-11
PyPI (MCP servers)	Not listed	Listed Version: 0.17.1 Downloads/month (PyPI): 20 314 Downloads/week (PyPI): 7 650 Forks (GitHub): 465 Stars (GitHub): 5 915 Not marked · First seen 2026-10-13

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

superRA vs Zotero MCP
Fact	superRAno longer listed · 2026-10-27	Zotero MCP
Marketplaces that list it (differs)	0	2
Stars (GitHub) (differs)	11	5 915
Forks (GitHub) (differs)	2	465
Last release (differs)	Not published	2026-11-15
Where it runs (differs)	Installs as a plugin bundle	On your machine (zotero-mcp-server)
Transport (differs)	Not stated	stdio
Tools it declares	Not published	Not published
Environment variables it asks for (differs)	Not published	5, secrets among them: 1
Hooks it runs (differs)	11	Not published
Parts of the bundle (differs)	25	Not a bundle
Licence (differs)	MIT	MIT AND AGPL-3.0-or-later
Repository (differs)	github.com/fuzhiyu/superra	github.com/54yyyu/zotero-mcp
Changes in the last 7 days (differs)	0	7
First seen (differs)	2026-10-19	2026-10-11

Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.

What to use instead of superRA

Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.

autoresearch

Autonomous improvement engine. 14 commands with bounded defaults, chain handoff, and adaptive evals checkpoints. 95% token reduction via modular architecture.

by Udit Goenka · Plugin bundle

Listed on: Community GitHub marketplaces · Describes nearly the same job
autoresearch

Autonomous research orchestration using a two-loop architecture. Manages the full research lifecycle from literature survey to paper writing, routing to domain-specific skills for…

by orchestra-research · Plugin bundle

Listed on: Community GitHub marketplaces · Describes nearly the same job
research-orchestrator

Research orchestrator (hybrid router + fallback). Deterministic SIGNALS classification routes to 6 specialists (pulse/litreview/grants/dossier/patent/syllabus) at >=2 signals…

by Alireza Rezvani · Plugin bundle

Listed on: Community GitHub marketplaces · Describes nearly the same job
deep-research

Generate evidence-tracked research reports with reusable source and claim records, original-source verification, and evidence-family tracking. Coordinate provider-specific Skills…

by daymade · Plugin bundle

Listed on: Community GitHub marketplaces · Describes nearly the same job
auto-research

Autonomous skill improvement through parallel research agents. Inspired by Karpathy's autoresearch methodology, it spawns 5 parallel agents (domain expert, quality auditor…

by gyoz-ai · Plugin bundle

Listed on: Claude Code: claude-plugins-community · Describes nearly the same job
hyperresearch

Deep research skill for Claude Code. Bootstraps the hyperresearch CLI and hands off to its 16-step research pipeline.

by Jordan Gibbs · Plugin bundle

Listed on: Community GitHub marketplaces · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

superRA

In its own words, on Community GitHub marketplaces:

Disciplined AI Research Assistant for economists: plan-implement-integrate workflow with implementer–reviewer pair, data-analysis discipline, and drift-test-verified integration.

Zotero MCP

In its own words, on Official MCP Registry:

Search, read, annotate, and add to your Zotero research library, local or web.

How to run each

superRA

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

Zotero MCP As a local MCP server: PyPI package

Claude Code

claude mcp add --env "ZOTERO_API_KEY=<YOUR_ZOTERO_API_KEY>" --transport stdio zotero-mcp -- uvx zotero-mcp-server serve

Requires: ZOTERO_API_KEY (secret)

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

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

The marketplaces of superRA publish no settings it asks for, so we do not compare settings.

What it can do: superRA · What it can do: Zotero MCP · Compare two other plugins

Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Package data comes from the Python Package Index (pypi.org). Figures come from our own regular passes over the marketplaces, last read on 2026-11-15. We publish no contact details for plugin publishers.