rmcp
R MCP Server
No outside reports on file
This tool gives Claude the ability to run code on your computer, which is powerful but risky—only use it in isolated environments with sensitive data protected, and stay cautious with untrusted prompts.
Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (finite-sample/rmcp)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/finite-sample/rmcp ↗
About Rmcp
rmcp is an MCP server that lets Claude work with the R programming language. It appears to allow Claude to write, run, and execute R code directly, which is useful for data analysis, statistics, and scientific computing tasks.
Who it’s for
Data scientists, researchers, and analysts who want Claude to help write and run R scripts. Anyone doing statistical analysis or data work in R could use this to get AI assistance.
Alternatives
- Python MCP servers: Similar tools that run Python code instead of R for data analysis tasks.
- SQL MCP servers: If your data lives in databases, let Claude query and analyze it directly without writing R.
- Local AI models: Self-hosted models like Ollama with code execution capabilities, avoiding cloud dependencies.
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README on GitHub (https://github.com/finite-sample/rmcp (opens external site)) for installation and configuration instructions specific to your setup.
Why this grade
Signal-based grade (3/7 points): listed in several sources, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 215
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Security reports
No reports found for this package in our research (last checked 2026-10-29).
Risks to watch for
- Arbitrary code execution: This tool lets Claude run R code on your computer, which could accidentally or maliciously execute harmful commands if tricked by a prompt.
- File system access: R code can read and write any files your user account can access, potentially exposing sensitive data or modifying important files.
- Data leakage: Analysis results and data processed by R could be sent back to Claude's servers depending on how the tool is configured.
- Package installation: R can download and install packages from the internet; a malicious prompt could trick it into installing compromised packages.
- Prompt injection: Attackers could craft special prompts that make Claude generate R code doing things you didn't intend.
How to lower the risk
Least-privilege permissions
- Run rmcp under a user account with minimal file access needed for R work only.
- Avoid using this with admin or root privileges.
Network isolation
- Consider running rmcp in a sandbox or virtual machine if processing sensitive data.
- Restrict outbound internet access if the R environment doesn't need external package downloads.
Monitoring
- Log what code Claude generates and runs; review suspicious R commands before execution.
- Watch for unexpected file access or system calls from the R process.
Red flags to watch for
- Prompts asking Claude to modify system files or change user permissions.
- Requests to download files from unknown URLs or install unverified R packages.
- Claude generating code that accesses files outside your intended data folder.
Questions
How do I install Rmcp?
Rmcp does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/finite-sample/rmcp.
Are there security reports about Rmcp?
No reports found for this package in our research (last checked 2026-10-29). Rmcp currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include arbitrary code execution, file system access, data leakage.
Is Rmcp actively maintained?
Rmcp has 215 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/finite-sample/rmcp before pinning it in production.
What are alternatives to Rmcp?
Notable alternatives to Rmcp include Python MCP servers (Similar tools that run Python code instead of R for data analysis tasks), SQL MCP servers (If your data lives in databases, let Claude query and analyze it directly without writing R), Local AI models (Self-hosted models like Ollama with code execution capabilities, avoiding cloud dependencies). You can also compare Rmcp side by side with other MCP servers in the Related tools section on this page.
Key facts
- Type
- App connector
- Publisher
- finite-sample
- Source code
- github.com/finite-sample/rmcp
- Est. context load
- ~1k tokens / turn (~6 tool schemas, 0.5% of 200k context)
- Popularity
- 215 GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-23
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