Text Corpus Analysis vs TextKit
Text Corpus Analysis is a plugin bundle for AI coding tools published by danielrosehill. Marketplaces we read that list it: 1 (Community GitHub marketplaces). TextKit is an MCP server published by OlsOls4. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-17. 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 |  TextKit |
|---|---|---|
| Community marketplace danielrosehill/claude-code-plugins | Listed Version: 0.1.0 Forks (GitHub): 0 Stars (GitHub): 2 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 1.1.0 Forks (GitHub): 0 Stars (GitHub): 0 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 | Text Corpus Analysis | TextKit |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 2 (better) | 0 (worse) |
| Forks (GitHub) | 0 | 0 |
| Last release | Not published | Not published |
| Where it runs (differs) | Installs as a plugin bundle | Remote server (textkit-sentiment-language-readability-keywords.p.rapidapi.com/mcp) |
| Transport (differs) | Not stated | Streamable HTTP |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | 14 | Not a bundle |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/danielrosehill/claude-text-corpus-analysis-plugin | github.com/olsols4/webkit-api |
| Changes in the last 7 days | 2 | 2 |
| First seen (differs) | 2026-10-15 | 2026-10-14 |
| Endpoint at the last check (differs) | no remote endpoint we check | not checked yet |
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
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.
TextKit
Sentiment, language detection, readability, keywords, summaries and profanity filtering
How to run each
Text Corpus Analysis As a Claude Code plugin
/plugin marketplace add danielrosehill/claude-code-plugins
/plugin install text-corpus-analysis@danielrosehillTextKit As a remote MCP server
claude mcp add --transport http textkit https://textkit-sentiment-language-readability-keywords.p.rapidapi.com/mcp --header "X-RapidAPI-Key: <YOUR_X_RAPIDAPI_KEY>" --header "X-RapidAPI-Host: <YOUR_X_RAPIDAPI_HOST>"Requires: X-RapidAPI-Key header, X-RapidAPI-Host header
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
Neither one's marketplaces publish the settings it asks for.
What it can do: Text Corpus Analysis · What it can do: TextKit · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. 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.