LLM Text vs Text Corpus Analysis
LLM Text is an MCP server published by docker. Marketplaces we read that list it: 1 (Docker MCP Catalog). Text Corpus Analysis is a plugin bundle for AI coding tools published by danielrosehill. Marketplaces we read that list it: 1 (Community GitHub marketplaces). As of our marketplace pass on 2026-10-16. 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
| Marketplace |  Text Corpus Analysis | |
|---|---|---|
| Docker MCP Catalog | Listed Version: not stated No figure published Not marked · First seen |
Not listed |
| Community marketplace danielrosehill/claude-code-plugins | Not listed | Listed Version: 0.1.0 Forks (GitHub): 0 Stars (GitHub): 2 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
| Fact | LLM Text | Text Corpus Analysis |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | No figure on GitHub | 2 |
| Forks (GitHub) (differs) | No figure on GitHub | 0 |
| Last release | Not published | Not published |
| Where it runs (differs) | Remote server (mcp.llmtxt.dev/sse) | Installs as a plugin bundle |
| Transport (differs) | SSE | Not stated |
| Tools it declares (differs) | 2 | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | Not a bundle | 14 |
| Licence (differs) | Apache-2.0 | MIT |
| Repository (differs) | Not stated | github.com/danielrosehill/claude-text-corpus-analysis-plugin |
| Changes in the last 7 days (differs) | 0 | 2 |
| First seen (differs) | 2026-10-11 | 2026-10-15 |
| Endpoint at the last check (differs) | Not responding since 2026-10-13 | no remote endpoint we check |
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
LLM Text
Discovers and retrieves llms.txt from websites.
Text Corpus Analysis
Skills for analyzing large text corpora — topic modeling (BERTopic with temporal evolution), NER, categorization into fixed taxonomies, bottom-up category derivation, multi-level taxonomy design, word frequency, synonym clustering for voice-note/STT corpora, parametric stats, and metadata↔content correlation. Three execution lanes (classical NLP, local LLM via Ollama, cloud LLM via OpenRouter) with explicit cost-awareness: mandatory pre-run estimates for >1k-doc LLM passes, two-pass cheap→premium pattern, embeddings+clustering preferred over pairwise LLM comparison.
How to run each
LLM Text As a remote MCP server
claude mcp add --transport sse llmtxt https://mcp.llmtxt.dev/sseText Corpus Analysis As a Claude Code plugin
/plugin marketplace add danielrosehill/claude-code-plugins
/plugin install text-corpus-analysis@danielrosehillCommands 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 Text Corpus Analysis 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: Text Corpus Analysis · 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.