Server Chart vs ClaudeR - RStudio MCP Server
Two MCP servers from our data & analytics ranking, compared on live data - updated nightly, never sponsored.
Bottom line · 2026-08-25
Server Chart records significantly more monthly package installs (36,312 vs 10,172); both are actively maintained, with commits inside the last month.
How they differ in kind
Server Chart focuses on: A Model Context Protocol server for generating charts using AntV. ClaudeR - RStudio MCP Server focuses on: ClaudeR - The Modern Researcher's Toolkit Connect RStudio to Claude Code, Codex, Gemini CLI, or any MCP-based LLM agent for interactive coding, multi-agent orchestration, and automated manuscript auditing. Environment-variable extraction: Server Chart yielded 3 variables; ClaudeR - RStudio MCP Server yielded no variables extracted. Implementation languages differ (TypeScript vs Python).
What each one does
Server Chart
A Model Context Protocol server for generating charts using AntV. We can use this mcp server for _chart generation_ and _data analysis_. It runs locally over stdio via the published package.
From the project's README.
ClaudeR - RStudio MCP Server
ClaudeR - The Modern Researcher's Toolkit Connect RStudio to Claude Code, Codex, Gemini CLI, or any MCP-based LLM agent for interactive coding, multi-agent orchestration, and automated manuscript auditing. It runs locally over stdio via the published package.
From the project's README.
14 signals, side by side
| Signal | Server Chart | ClaudeR - RStudio MCP Server |
|---|---|---|
| Monthly installs | 36,312 | 10,172 |
| GitHub stars | 4,337 | 326 |
| Last commit | 2026-08-19 | 2026-08-23 |
| Releases · last 90 days | 0 | 0 |
| In the registry since | Sep 2025 | Feb 2026 |
| Registry versions | 7 | 10 |
| Documented tools | not extracted - see README | not extracted - see README |
| Env vars extracted | 3 | none extracted - see README |
| Runs | local (stdio) | local (stdio) |
| Endpoint auth | local only | local only |
| Maintenance | actively maintained | actively maintained |
| License | MIT | NOASSERTION |
| Language | TypeScript | Python |
| Category rank | #1 of 75 | #3 of 75 |
Environment variables found in the READMEs
These are extracted names, not a requiredness check. Project docs may mark them optional or require other setup.
Server Chart
- VIS_REQUEST_SERVER
- SERVICE_ID
- DISABLED_TOOLS
ClaudeR - RStudio MCP Server
No environment variables were extracted from the README setup. Check the project documentation for other authentication or configuration steps.
Which one, for what
Derived from the signals above, not hands-on testing.
Pick Server Chart if…
- → you want the more widely installed option - 36,312 monthly installs vs 10,172
- → clear licensing matters - MIT vs undeclared
Pick ClaudeR - RStudio MCP Server if…
- → you prefer a Python codebase to extend or audit
- → category standing - #3 of 75 maintained data & analytics servers
Who's behind them
Server Chart - antvis: 1 MCP server tracked, 1 maintained, 4,337 combined stars.
ClaudeR - RStudio MCP Server - imnmv: 1 MCP server tracked, 1 maintained, 326 combined stars.
Not sold on either?
The next-ranked data & analytics servers we track:
Quick answers
Is Server Chart better than ClaudeR - RStudio MCP Server?
Package installs favor Server Chart: 36,312 monthly installs to 10,172. ClaudeR - RStudio MCP Server still ranks #3 of 75 maintained data & analytics servers. Data as of 2026-08-25; we haven't hands-on tested either.
Can I use Server Chart and ClaudeR - RStudio 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?
Server Chart: 3 environment variables extracted from the README setup; ClaudeR - RStudio MCP Server: no 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 · TypeScript 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 2026-08-25.