magi-researchers vs Research Scan
magi-researchers is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑28.
magi-researchers is a plugin bundle for AI coding tools published by axect. No marketplace we read lists it any more. Research Scan is an MCP server published by synectic.org. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-11-07. 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
| Marketplace |  Research Scan | |
|---|---|---|
| Community marketplace axect/magi-researchers | Removed on 2026-10-28 Version: 0.19.0 Forks (GitHub): 1 Stars (GitHub): 13 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.6.4 Downloads/month (PyPI): 293 Downloads/week (PyPI): 342 Forks (GitHub): 1 Stars (GitHub): 1 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
| Fact | magi-researchersno longer listed · | Research Scan |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 1 |
| Stars (GitHub) (differs) | 13 | 1 |
| Forks (GitHub) | 1 | 1 |
| Last release (differs) | Not published | 2026-11-02 |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (research-scan) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | 9 | Not a bundle |
| Licence (differs) | MIT | Apache-2.0 |
| Repository (differs) | github.com/axect/magi-researchers | github.com/synectic-research/research-scan |
| Changes in the last 7 days (differs) | 0 | 4 |
| First seen (differs) | 2026-10-14 | 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 magi-researchers
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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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…
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Scientific research brainstorming partner: survey the literature, find good problems, and shape concrete research ideas together
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Semi-automated research assistant with skills for literature review, experiments, analysis, writing, and project knowledge management
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AI agents, language models, retrieval, evaluation and research papers.
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Deep research skill for Claude Code. Bootstraps the hyperresearch CLI and hands off to its 16-step research pipeline.
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Research orchestrator (hybrid router + fallback). Deterministic SIGNALS classification routes to 6 specialists (pulse/litreview/grants/dossier/patent/syllabus) at >=2 signals…
What each says it does
magi-researchers
Three AI models, one synthesis — multi-model research workflow for scientific domains
Research Scan
Finds and ranks recent scientific papers that matter most for a research question or project.
How to run each
magi-researchers
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Research Scan As a local MCP server: PyPI package
claude mcp add --transport stdio research-scan -- uvx research-scanCommands 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
Neither one's marketplaces publish the settings it asks for.
What it can do: magi-researchers · What it can do: Research Scan · 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. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.