waterology vs ClaudeR - RStudio MCP Server
waterology is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑15.
waterology is a plugin bundle for AI coding tools published by Cameron Bracken. No marketplace we read lists it any more. ClaudeR - RStudio MCP Server is an MCP server published by IMNMV. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-23. 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
| Marketplace |  ClaudeR - RStudio MCP Server | |
|---|---|---|
| Community marketplace cameronbracken/waterology-research | Removed on 2026-10-15 Version: 0.7.6 Forks (GitHub): 0 Stars (GitHub): 0 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.16.1 Downloads/month (PyPI): 5 790 Downloads/week (PyPI): 724 Forks (GitHub): 38 Stars (GitHub): 356 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 | waterologyno longer listed · | ClaudeR - RStudio MCP Server |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 1 |
| Stars (GitHub) (differs) | 0 | 356 |
| Forks (GitHub) (differs) | 0 | 38 |
| Last release | Not published | Not published |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (clauder-mcp) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | 72 | Not a bundle |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/cameronbracken/waterology-research | github.com/imnmv/clauder |
| Changes in the last 7 days | 0 | 0 |
| First seen (differs) | 2026-10-14 | 2026-10-11 |
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 waterology
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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Principles and rules for writing faithful scientific code. Scientific code serves truth, not users. This plugin teaches Claude the fundamental differences between scientific and…
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Research skills for paper auditing, citation checks, and experiment analysis.
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Multi-agent deep research pipelines for Claude Code. Runs internet research, repository analysis, schema-driven structured research, and media research (via NotebookLM) using…
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Automated AI research toolkit: hypothesis generation, experiments, and paper writing
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Autonomous experiment loops on any codebase — one file, one metric, one loop. An agent edits a constrained file, runs an eval, keeps improvements, reverts failures, and repeats…
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Research software engineering practice: 67 skills, fourteen workflow commands and six subagents for research code.
What each says it does
waterology
Reproducible computational research workflows for Claude Code, Codex, and OpenCode.
ClaudeR - RStudio MCP Server
Connect RStudio to AI assistants for interactive R coding and data analysis.
How to run each
waterology
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
ClaudeR - RStudio MCP Server As a local MCP server: PyPI package
claude mcp add --transport stdio clauder -- uvx clauder-mcpCommands 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: waterology · What it can do: ClaudeR - RStudio MCP Server · 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.