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Comparison

LLM Text vs rag-setup

rag-setup is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑18.

LLM Text is an MCP server published by docker. Marketplaces we read that list it: 1 (Docker MCP Catalog). rag-setup is a plugin bundle for AI coding tools published by barnburner121. No marketplace we read lists it any more. As of our marketplace pass on 2026-10-21. 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
MarketplaceLLM Textrag-setup
Docker MCP Catalog Listed
Version: not stated
No figure published
Not marked · First seen
Not listed
Community marketplace barnburner121/claude-plugin-marketplace Not listed Removed on 2026-10-18
Version: 1.0.0
Forks (GitHub): 0
Stars (GitHub): 3
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

LLM Text vs rag-setup
FactLLM Textrag-setupno longer listed ·
Marketplaces that list it (differs)10
Stars (GitHub) (differs)No figure on GitHub3
Forks (GitHub) (differs)No figure on GitHub0
Last releaseNot publishedNot published
Where it runs (differs)Remote server (mcp.llmtxt.dev/sse)On your machine (@barnburner121/plugin-hub-mcp)
Transport (differs)SSENot stated
Tools it declares (differs)2Not published
Environment variables it asks forNot publishedNot published
Parts of the bundle (differs)Not a bundle2
Licence (differs)Apache-2.0MIT
Repository (differs)Not statedgithub.com/barnburner121/claude-plugin-marketplace
Changes in the last 7 days (differs)02
First seen (differs)2026-10-112026-10-14
Endpoint at the last check (differs)Not responding since 2026-10-13no remote endpoint we check

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 rag-setup

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

  • ragcreator

    Build a RAG pipeline station by station and search your own documents with cited answers.

    by ragcreator.com · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • llm-application-dev

    LLM application development, prompt engineering, and AI assistant optimization

    by Seth Hobson · Plugin bundle

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

  • ai

    Build production-grade AI agents with Pydantic AI — tools, capabilities, structured output, streaming, and testing patterns — and port existing agents over from LangChain, the…

    by Pydantic · Plugin bundle

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

  • PinRAG

    MCP RAG: index PDFs, repos, YouTube, Discord, text; optional YouTube vision; query with citations.

    by ndjordjevic · MCP server

    Listed on: Official MCP Registry, Claude Code: claude-plugins-community · Describes nearly the same job

  • Darwin RAG

    Local-first RAG engine with MCP server for AI agent integration.

    by Brightdotdev · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • RAGScore

    Generate QA datasets & evaluate RAG systems with failure diagnosis. Any LLM.

    by HZYAI · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

LLM Text

In its own words, on Docker MCP Catalog:

Discovers and retrieves llms.txt from websites.

rag-setup

In its own words, on Community GitHub marketplaces:

Generate RAG retrieval-augmented generation systems

How to run each

LLM Text As a remote MCP server

Claude Code
claude mcp add --transport sse llmtxt https://mcp.llmtxt.dev/sse

rag-setup

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.

Only LLM Text has a remote endpoint we check. How we check endpoints

Tools each declares

The marketplaces of rag-setup 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: LLM Text · What it can do: rag-setup · 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