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content-analysis vs Scholar RAG MCP

content-analysis is a plugin bundle for AI coding tools published by PeterMalmkjaer. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). Scholar RAG MCP is an MCP server published by notwhiteblank. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-18. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
Marketplacecontent-analysisScholar RAG MCP
Claude Code: claude-plugins-community Listed
Version: 1.1.0
Forks (GitHub): 2
Stars (GitHub): 1
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 0.4.0
Downloads/month (PyPI): 187
Downloads/week (PyPI): 43
Forks (GitHub): 0
Stars (GitHub): 5
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

content-analysis vs Scholar RAG MCP
Factcontent-analysisScholar RAG MCP
Marketplaces that list it11
Stars (GitHub) (differs)1 (worse)5 (better)
Forks (GitHub) (differs)2 (better)0 (worse)
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleOn your machine (scholar-rag-mcp)
Transport (differs)Not statedstdio
Tools it declaresNot publishedNot published
Environment variables it asks for (differs)Not published4, secrets among them: 0
Parts of the bundle (differs)2Not a bundle
Licence (differs)SEE LICENSENot stated
Repository (differs)github.com/petermalmkjaer/content-analysis-plugingithub.com/notwhiteblank/scholar-rag-mcp
Changes in the last 7 days00
First seen2026-10-112026-10-11

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

content-analysis

In its own words, on Claude Code: claude-plugins-community:

Scientific content analysis for academic research. Supports the full workflow from research question to publication-ready output: codebook development, qualitative and quantitative coding, thematic analysis, and inter-coder reliability assessment. Follows established methodology from Krippendorff, Hsieh & Shannon, Mayring, and Braun & Clarke. Produces structured output files including coded data tables (.xlsx), theme summaries (.md), and reliability reports.

Scholar RAG MCP

In its own words, on Official MCP Registry:

Academic paper knowledge-base MCP server: PDF ingest, vector search with reranking, KB management.

How to run each

content-analysis As a Claude Code plugin

Claude Code
/plugin marketplace add anthropics/claude-plugins-community
/plugin install content-analysis@claude-community

Scholar RAG MCP As a local MCP server: PyPI package

Claude Code
claude mcp add --env "SCHOLAR_RAG_CHAT_BASE_URL=<YOUR_SCHOLAR_RAG_CHAT_BASE_URL>" --env "SCHOLAR_RAG_EMBED_BASE_URL=<YOUR_SCHOLAR_RAG_EMBED_BASE_URL>" --env "SCHOLAR_RAG_RERANK_BASE_URL=<YOUR_SCHOLAR_RAG_RERANK_BASE_URL>" --transport stdio scholar-rag-mcp -- uvx scholar-rag-mcp

Requires: SCHOLAR_RAG_CHAT_BASE_URL, SCHOLAR_RAG_EMBED_BASE_URL, SCHOLAR_RAG_RERANK_BASE_URL

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 content-analysis publish no settings it asks for, so we do not compare settings.

What it can do: content-analysis · What it can do: Scholar RAG MCP · Compare two other plugins

Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. 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