flowR MCP server

by flowr-analysis·io.github.flowr-analysis/flowr·v0.1.3·105 stars

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Static dataflow analysis, program slicing, linting, and dependency extraction for R code.

A94/100grade A

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Safety scan

A94/100

full report

Adoption

Established

105 stars331 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

flowR tools (1)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

query
Statically analyze R code and search R package signatures with flowR queries (https://github.com/flowr-analysis/flowr/wiki/Query-API). Common ones:

Public scan report

scanner v0.1.10 · 2026-10-25 · same rubric, same numbers if you re-run it

no findings

Code scan3 source files scanned25/25
–Live reliabilityno gateway calls yet and no remote to proben/a
–Tool poisoningtools not inspected (local package is not executed); not countedn/a
Auth qualitylocal package, no credentials required12/15
Maintenancelast push 1 days ago15/15
Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10

Overall 94/100. Components that don't apply are left out of the denominator. Any critical finding is an F.Rubric Appeal a finding JSON

How flowR compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score: 94/100; higher than 96% of 48,255 servers
Tools: 1; the typical server has 7
Tools that change things: 0%; typical: 0%. Fewer write tools means less an agent can break
GitHub stars: 105; more than 95% of 28,688 servers
Downloads a week: 331; more than 82% of 12,191 servers with a package

What its tools let an agent do: 1 read

Install flowR in Claude Code, Cursor or VS Code

Runs npx -y @eagleoutice/flowr-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add flowr -- npx -y @eagleoutice/flowr-mcp

Add to Cursor

What the publisher says

From the flowR repository's README, as published. We do not edit it. Read it on GitHub

flowR is a sophisticated, static dataflow analyzer for the R programming language, available for VSCode, Positron, RStudio, and Docker. It offers a wide variety of features, for example:

Given your analysis project, flowR offers a plethora of so-called queries to get more information about your code. An important query is the dependencies query, which shows you the library your project needs, the data files it reads, the scripts it sources, and the data it outputs. Building on it, the guess dependency versions query narrows down the version range each of these libraries has to have, by combining the constraints your project declares with the functions your code actually calls. ( ▶ Explore in Browser )

📚 dependency analysis\

Example: Dependency Analysis with flowR

The following showcases the dependency view of the Visual Studio Code extension:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

flowR: common questions

Is flowR MCP server safe?: Yes, by our scan: it is graded A (94/100). Read the flowR safety report
How do I install flowR?: It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does flowR need an API key?: Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is flowR maintained?: The last commit was 11 days ago (2026-10-24). The latest release is v0.1.3.
How does flowR compare with other MCP servers?: safety score 94/100 (higher than 96% of 48,255 servers); tools 1 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.