ClaudeR - RStudio MCP Server vs Keboola MCP Server
Two MCP servers from our data & analytics ranking, compared on live data - updated nightly, never sponsored.
Bottom line · 2026-09-18
Keboola MCP Server records more monthly package installs (18,367 vs 11,271); both are actively maintained, with commits inside the last month.
How they differ in kind
ClaudeR - RStudio MCP Server focuses on: ClaudeR - The Modern Researcher's Toolkit Connect a live R or Python session, in RStudio or Positron, to Claude Code, Codex, or any MCP-based LLM agent. Keboola MCP Server focuses on: Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools. Keboola MCP Server offers a remote endpoint; ClaudeR - RStudio MCP Server is local stdio. Environment-variable extraction: ClaudeR - RStudio MCP Server yielded no variables extracted; Keboola MCP Server yielded 4 variables.
What each one does
ClaudeR - RStudio MCP Server
ClaudeR - The Modern Researcher's Toolkit Connect a live R or Python session, in RStudio or Positron, to Claude Code, Codex, or any MCP-based LLM agent. For interactive analysis, multi-agent orchestration, and automated manuscript auditing. It runs locally over stdio via the published package.
From the project's README.
Keboola MCP Server
Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools. It turns Keboola features - like storage access, SQL transformations, and job triggers - into callable tools for Claude, Cursor, CrewAI, LangChain, Amazon Q, and more.
From the project's README.
14 signals, side by side
| Signal | ClaudeR - RStudio MCP Server | Keboola MCP Server |
|---|---|---|
| Monthly installs | 11,271 | 18,367 |
| GitHub stars | 342 | 86 |
| Last commit | 2026-09-15 | 2026-09-16 |
| Releases · last 90 days | 2 | 10+ |
| In the registry since | Feb 2026 | Oct 2025 |
| Registry versions | 13 | 41 |
| Documented tools | not extracted - see README | not extracted - see README |
| Env vars extracted | none extracted - see README | 4 |
| Runs | local (stdio) | local or remote |
| Endpoint auth | local only | yes (verified) |
| Maintenance | actively maintained | actively maintained |
| License | NOASSERTION | MIT |
| Language | Python | Python |
| Category rank | #2 of 81 | #3 of 81 |
Environment variables found in the READMEs
These are extracted names, not a requiredness check. Project docs may mark them optional or require other setup.
ClaudeR - RStudio MCP Server
No environment variables were extracted from the README setup. Check the project documentation for other authentication or configuration steps.
Keboola MCP Server
- KBC_STORAGE_API_URL
- KBC_BRANCH_ID
- KBC_STORAGE_TOKEN
- KBC_PROJECT_ID
Which one, for what
Derived from the signals above, not hands-on testing.
Pick ClaudeR - RStudio MCP Server if…
- → category standing - #2 of 81 maintained data & analytics servers
Pick Keboola MCP Server if…
- → release velocity matters - 10+ releases in 90 days vs 2
- → you want a hosted endpoint instead of running a local process
- → clear licensing matters - MIT vs undeclared
Who's behind them
ClaudeR - RStudio MCP Server - imnmv: 1 MCP server tracked, 1 maintained, 342 combined stars.
Keboola MCP Server - keboola: 2 MCP servers tracked, 1 maintained, 86 combined stars.
Not sold on either?
The next-ranked data & analytics servers we track:
Quick answers
Is ClaudeR - RStudio MCP Server better than Keboola MCP Server?
Package installs favor Keboola MCP Server: 18,367 monthly installs to 11,271. ClaudeR - RStudio MCP Server still ranks #2 of 81 maintained data & analytics servers. Data as of 2026-09-18; we haven't hands-on tested either.
Can I use ClaudeR - RStudio MCP Server and Keboola MCP Server together?
Yes - MCP clients accept multiple servers in one config, so you can enable both data & analytics servers side by side. If their tools overlap, keep the one whose toolset fits to keep your agent's tool list lean.
What environment variables do their READMEs document?
ClaudeR - RStudio MCP Server: no environment variables extracted from the README setup; Keboola MCP Server: 4 environment variables extracted from the README setup. Extraction does not rule out other authentication or configuration steps; check each project's current documentation.
Keep exploring: best data & analytics servers · Python servers · all comparisons · every server
Methodology: package-usage signal = npm/PyPI installs (last month, platform APIs) · maintenance = commit recency + release cadence (GitHub) · tool lists and environment-variable names extracted from each project's README · endpoint auth from our own nightly probes. We haven't hand-tested these servers; everything here is data as of 2026-09-18.