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magi-researchers vs MiniRAG

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. MiniRAG is an MCP server published by KiMelody. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-28. 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
Marketplacemagi-researchersMiniRAG
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: 0.1.0
Forks (GitHub): 0
Stars (GitHub): 0
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

magi-researchers vs MiniRAG
Factmagi-researchersno longer listed · MiniRAG
Marketplaces that list it (differs)01
Stars (GitHub) (differs)130
Forks (GitHub) (differs)10
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleRemote server (minirag.kimelody.de5.net/sse)
Transport (differs)Not statedSSE
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Parts of the bundle (differs)9Not a bundle
Licence (differs)MITNot stated
Repository (differs)github.com/axect/magi-researchersgithub.com/kimelody/minirag
Changes in the last 7 days (differs)20
First seen (differs)2026-10-142026-10-15
Endpoint at the last check (differs)no remote endpoint we checkResponded 7 days ago, requires a key

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.

  • claude-scholar

    Semi-automated research assistant with skills for literature review, experiments, analysis, writing, and project knowledge management

    by Galaxy-Dawn · Plugin bundle

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

  • run-deep-research

    Skills for deep research with OpenAI, Perplexity, Edison/Falcon, Cyberian, and OpenScientist

    by ai4curation · Plugin bundle

    Listed on: Community GitHub marketplaces · 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

  • 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

  • lit-review-agent-tools

    Select & run open-source AI literature-review tools: a curated 70+ catalog plus a launcher (scripts/litrun.py) that installs and runs the top tools and pipelines.

    by Bryce Wang · Plugin bundle

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

  • deep-research

    This skill should be used when conducting comprehensive research on any topic using the OpenAI Deep Research API. It aut

    by Gleb Kalinin · Plugin bundle

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

Its card, with similar plugins by marketplace

What each says it does

magi-researchers

In its own words, on Community GitHub marketplaces:

Three AI models, one synthesis — multi-model research workflow for scientific domains

MiniRAG

In its own words, on Official MCP Registry:

Lightweight self-hosted RAG knowledge base with hybrid retrieval and cited answers.

How to run each

magi-researchers

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

MiniRAG As a remote MCP server

Claude Code
claude mcp add --transport sse minirag https://minirag.kimelody.de5.net/sse --header "Authorization: Bearer <YOUR_TOKEN>"

Requires: Authorization header

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

Only MiniRAG has a remote endpoint we check. How we check endpoints

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: MiniRAG · 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.

Where the data comes from: how the catalog is built