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Wikipedia vs research-topic-summarize

research-topic-summarize is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑24.

Wikipedia is an MCP server published by Rudra-ravi. Marketplaces we read that list it: 1 (Docker MCP Catalog). research-topic-summarize is a plugin bundle for AI coding tools published by Britt Crawford. No marketplace we read lists it any more. As of our marketplace pass on 2026-11-14. 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
MarketplaceWikipediaresearch-topic-summarize
Docker MCP Catalog Listed
Version: sha256:32ce60811369
Forks (GitHub): 62
Pulls (Docker Hub): 190 229
Stars (Docker Hub): 10
Stars (GitHub): 308
Not marked · First seen
Not listed
Community marketplace britt/agent-skills Not listed Removed on 2026-10-24
Version: 1.1.0
Forks (GitHub): 1
Stars (GitHub): 8
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

Wikipedia vs research-topic-summarize
FactWikipediaresearch-topic-summarizeno longer listed ·
Marketplaces that list it (differs)10
Stars (GitHub) (differs)3088
Pulls (Docker Hub) (differs)190 229No figure on Docker Hub
Forks (GitHub) (differs)621
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/wikipedia-mcp)Installs as a plugin bundle
Transport (differs)stdioNot stated
Tools it declares (differs)22Not published
Environment variables it asks forNot publishedNot published
Licence (differs)MITNot stated
Repository (differs)github.com/rudra-ravi/wikipedia-mcpgithub.com/britt/agent-skills
Changes in the last 7 days00
First seen (differs)2026-10-112026-10-15

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 research-topic-summarize

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

  • 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

  • AI Web Research & Research Brief Agent

    x402 cited web research and synthesis for agents. $1.99 per completed brief.

    by industrial-platform-ai · MCP server

    Listed on: Official MCP Registry · 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

  • survey

    Multi-source investigation skill that collects papers, articles, social-media posts, and industry signals on a topic into an indexed Markdown report. Includes sub-agent…

    by mathbullet · 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

    Research external questions with cited primary sources.

    by khaneliman · Plugin bundle

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

Its card, with similar plugins by marketplace

What each says it does

Wikipedia

In its own words, on Docker MCP Catalog:

A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.

research-topic-summarize

In its own words, on Community GitHub marketplaces:

Research topics via web search, synthesize detailed summaries with sources and screenshots

How to run each

Wikipedia As a local MCP server: Docker image

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

research-topic-summarize

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 research-topic-summarize 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: Wikipedia · What it can do: research-topic-summarize · Compare two other plugins

Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. 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