ClaudeR vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
ClaudeR by IMNMV | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 227 | ★ 85,748 |
| 30d uses | — | — |
| Score | 51 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
ClaudeR · Summary
ClaudeR bridges RStudio with MCP-based LLM agents for interactive coding, multi-agent orchestration, and automated manuscript auditing.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
ClaudeR · Use cases
- Interactive data analysis with real-time code execution in RStudio
- Automated manuscript auditing and statistical verification
- Multi-agent collaborative coding on R scripts
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
ClaudeR · Install
Installation
# Install using devtools
if (!require("devtools")) install.packages("devtools")
devtools::install_github("IMNMV/ClaudeR")
# Set up your AI tool
library(ClaudeR)
install_clauder() # For Claude Desktop / Cursor
install_cli(tools = "claude") # For Claude Code CLI
# Start the server in RStudio
claudeAddin()For Claude Desktop configuration, add to Claude Desktop's config.json:
{
"mcpServers": {
"clauder": {
"command": "Rscript",
"args": ["-e", "library(ClaudeR); claudeServe()"],
"env": {
"R_PROFILE_USER": ""
}
}
}
}filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.