Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
flowR
Overview
Description from the maker (original English)
Static dataflow analysis, program slicing, linting, and dependency extraction for R code.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Other
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"flowr": {
"command": "npx",
"args": [
"-y",
"@eagleoutice/flowr-mcp"
]
}
}
}Run this in your terminal
claude mcp add flowr -- npx -y @eagleoutice/flowr-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"flowr": {
"command": "npx",
"args": [
"-y",
"@eagleoutice/flowr-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"flowr": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@eagleoutice/flowr-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account flowr-analysis, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Otheri
- More stars than 0% of the other 32476 servers in this category
- Published to the registry more recently than 71% of the other 32476 servers in this category
- Basic checks equal to or better than 100% of the other 32476 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is flowR safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.1.3) reached the registry 15 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, zanadir
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Remote Desktop Commander
by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated yesterday
Install
zanadir
by MustacheCase
Find what a repository's CI is missing, and which security checks cannot fail the build.
Runs on your computerUpdated today
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
flowR MCP Server
A Model Context Protocol server with a single query tool that lets LLM clients analyze R code with flowR: slicing, linting, dependencies, version guessing, signature database search, and every other query of the Query API. No R installation is needed.
On its first start, the server downloads flowR's signature database (about 66 MB) from the flowR releases into ~/.cache/flowr and checks its hash. Version guessing and signature search need this database. Everything else also works offline. The server never runs the analyzed code. It contacts no other server, unless a query asks the linter to check the URLs in the code (checkUrls, which is never allowed over HTTP).
In Claude Code, one plugin installs both this server and the flowR skill:
/plugin install flowr --marketplace flowr-analysis/flowrOther local clients start it over stdio:
claude mcp add flowr -- npx -y --omit=optional --ignore-scripts @eagleoutice/flowr-mcp # Claude Codecodex mcp add flowr -- npx -y --omit=optional --ignore-scripts @eagleoutice/flowr-mcp # OpenAI Codex gemini mcp add flowr npx -y --omit=optional --ignore-scripts @eagleoutice/flowr-mcp # Gemini CLI
or, configured by JSON (Claude Desktop, Cursor, VS Code, ...):
{ "mcpServers": { "flowr": { "command": "npx", "args": ["-y", "--omit=optional", "--ignore-scripts", "@eagleoutice/flowr-mcp"] } } }The flags keep the install small. They skip the optional dependencies flowR does not need here, and they run no install scripts. The package's npm-shrinkwrap.json pins every dependency.
Remote clients (ChatGPT, claude.ai, ...) need the server running over HTTP behind HTTPS:
npx -y --omit=optional --ignore-scripts @eagleoutice/flowr-mcp --http 1042cloudflared tunnel --url http://localhost:1042
Then add https:// /mcp as a connector (in ChatGPT, this needs developer mode). Without a port, the server uses $PORT or 1042. It listens on 127.0.0.1 unless HOST says otherwise, for example HOST=0.0.0.0 in a container. Setting FLOWR_MCP_PATH=/mcp/ replaces /mcp with a secret path. A secret path is the only access control that every remote client supports.
Over HTTP, the server treats the code as untrusted:
- It never reads its own files: there is no
filesargument,source()is ignored, and theconfigquery is refused. - It runs in flowR's secure mode, without network access, processes, or R.
- It keeps stack traces to itself.
- It refuses requests from browser pages and requests over 1 MB.
- It runs one analysis at a time, with at most 16 waiting, and stops each after 30 seconds or 2 GB of memory.
- It cuts answers at 50000 characters.
Put a rate limit in front of a public instance.
SKILL.md is an agent skill (Claude, Codex, Gemini CLI, ...) that says when and how to use flowR, with or without this server. To use it, copy it to, for example, ~/.claude/skills/flowr/SKILL.md.