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Paper Search vs deep-research

deep-research is no longer listed on any marketplace we read: these are its last known data, as of 2026‑11‑04.

Paper Search is an MCP server published by openags. Marketplaces we read that list it: 2 (Docker MCP Catalog, PyPI (MCP servers)). deep-research is a plugin bundle for AI coding tools published by Alireza Rezvani. No marketplace we read lists it any more. As of our marketplace pass on 2026-11-12. 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
MarketplacePaper Searchdeep-research
Docker MCP Catalog Listed
Version: sha256:19d0af269a55
Forks (GitHub): 305
Pulls (Docker Hub): 46 867
Stars (Docker Hub): 5
Stars (GitHub): 3 067
Not marked · First seen
Not listed
PyPI (MCP servers) Listed
Version: 0.1.4
Downloads/month (PyPI): 9 156
Downloads/week (PyPI): 2 967
Forks (GitHub): 305
Stars (GitHub): 3 067
Not marked · First seen
Not listed
Community marketplace alirezarezvani/claude-skills Not listed Removed on 2026-11-04
Version: 2.14.5
Forks (GitHub): 4 058
Stars (GitHub): 29 232
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

Paper Search vs deep-research
FactPaper Searchdeep-researchno longer listed ·
Marketplaces that list it (differs)20
Stars (GitHub) (differs)3 06729 232
Pulls (Docker Hub) (differs)46 867No figure on Docker Hub
Forks (GitHub) (differs)3054 058
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/paper-search)Installs as a plugin bundle
Transport (differs)stdioNot stated
Tools it declares (differs)57Not published
Environment variables it asks forNot publishedNot published
Parts of the bundle (differs)Not a bundle3
LicenceMITMIT
Repository (differs)github.com/openags/paper-search-mcpgithub.com/alirezarezvani/claude-skills
Changes in the last 7 days00
First seen (differs)2026-10-112026-10-14

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 deep-research

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

  • meta-research

    Disciplined multi-source meta-research for high-stakes questions — the heavyweight alternative to the fast research router. 9-phase pipeline (reframe into falsifiable hypotheses…

    by Alireza Rezvani · Plugin bundle

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

  • insane-research

    AI-powered deep research with multi-agent source verification, 7-phase pipeline, and structured report generation.

    by fivetaku · 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

  • 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

  • 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

  • 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

Its card, with similar plugins by marketplace

What each says it does

Paper Search

In its own words, on Docker MCP Catalog:

MCP, CLI, Skills for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.

deep-research

In its own words, on Community GitHub marketplaces:

Disciplined multi-source meta-research for high-stakes questions — the heavyweight alternative to the fast research router. 9-phase pipeline (reframe into falsifiable hypotheses, plan, capability discovery, parallel sub-agent fan-out, score & triangulate, synthesize + adversarial pass, verify, refresh targets). Triangulates every thesis against >=3 independent differently-typed sources; per-source files with verbatim quotes; never fabricates a citation. Auditable, reusable folder + delta-update refresh protocol. Contributed via PR #851.

How to run each

Paper Search As a local MCP server: Docker image

Claude Code
claude mcp add --transport stdio paper-search -- docker run -i --rm mcp/paper-search

deep-research

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

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

Tools each declares

The marketplaces of deep-research 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: Paper Search · What it can do: deep-research · Compare two other plugins

Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Package data comes from the Python Package Index (pypi.org). 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