Flagrix

Name: Flagrix
Author: flagrix-io

by flagrix-ioversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.flagrix-io/flagrix

Install

Overview

Description from the maker (original English)

Scan GitHub repos and profiles for malware before cloning — commit-pinned risk verdicts for agents

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: Developer tools
You need to fill in: GITHUB_TOKEN

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).
You fill in yourself: GITHUB_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "flagrix": {
      "command": "npx",
      "args": [
        "-y",
        "flagrix",
        "mcp"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add flagrix --env GITHUB_TOKEN=your-value -- npx -y flagrix mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "flagrix": {
      "command": "npx",
      "args": [
        "-y",
        "flagrix",
        "mcp"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "flagrix": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "flagrix",
        "mcp"
      ],
      "env": {
        "GITHUB_TOKEN": "your-value"
      }
    }
  }
}

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.

Values you fill in

GITHUB_TOKEN secret env
Optional GitHub token — raises API rate limits and enables private-repo scans

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 flagrix-io, 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 Developer toolsi

More stars than 0% of the other 1385 servers in this category
Published to the registry more recently than 31% of the other 1385 servers in this category
Basic checks equal to or better than 100% of the other 1385 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 Flagrix 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?

You need to fill in: GITHUB_TOKEN

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 (0.1.0) reached the registry 4 months 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: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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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.

flagrix

Scan GitHub repositories and profiles for malware before you clone — from the terminal, CI, or an AI agent. The same commit-pinned verdict as the Flagrix browser extension, made callable.

npx flagrix scan https://github.com/some-org/coding-assignment

  some-org/coding-assignment @ 3f9c2a1

HIGH RISK — Do not clone security score 12/100 3 files scanned · 10 dependencies · 2 issues

CRITICAL Data exfiltration patterns detected: Keylogger Pattern assignment.js:14 14 document.addEventListener("keydown", (e) => send(e.key))

Built after real fake-recruiter campaigns ("coding assignment" repos that steal wallets, SSH keys, and browser sessions) started targeting developers.

Commands

flagrix scan <url | owner/repo>   # scan a repository (--ref <branch|sha>)

flagrix scan-user # score a GitHub profile for scam signals flagrix mcp # MCP server (stdio) for AI agents

Exit codes

code	meaning
0	low risk
1	scan failed
2	medium risk — review before proceeding
3	high risk — do not clone

--json (automatic when stdout is piped) emits the full result. The verdict is pinned to the scanned commit (commitSha in the JSON): every file is read at that SHA, so a push mid-scan or after the verdict can't silently invalidate it.

AI agents

claude mcp add flagrix -- npx -y flagrix mcp

Tools: scan_github_repo, scan_github_user. A Claude Code hook that gates every git clone on a scan ships in hooks/ — see docs/agent-gating.md.

Tokens & rate limits

Unauthenticated scans use GitHub's 60 req/h budget (a scan issues one request per scanned file, up to ~50). Set GITHUB_TOKEN (or FLAGRIX_GITHUB_TOKEN, or --token) to raise it to 5,000/h and to scan private repositories.

Privacy

Fully local. No telemetry, no accounts, no Flagrix backend — the only network calls go to the GitHub/npm APIs and the public detection-rules repository (signature refresh, cached 6 h, with a bundled offline snapshot).

Dependencies are also checked against the OSV malicious-package feed (osv-malicious.json from the same repository: every npm/PyPI package the OpenSSF malicious-packages project has confirmed malicious). The feed is downloaded and matched locally, so dependency names never leave your machine. It is cached 6 h and revalidated with its ETag. Set FLAGRIX_OSV_FEED=0 to skip it (the curated list in the signatures still applies).

How it works

Scanning logic lives in @flagrix/scanner-core (MIT), signatures in flagrix-detection-rules (MIT) — the same engine and rules the browser extension uses. Verdicts are risk assessments, not definitive fraud determinations; always verify through official channels.

AI Disclosure

This project leverages Claude AI for boilerplate generation, test-suite expansion, and optimization. All AI-generated code is strictly reviewed, refactored, and verified by human maintainers before merging.

License

MIT — see LICENSE.

Flagrix

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

flagrix

Commands

Exit codes

AI agents

Tokens & rate limits

Privacy

How it works

AI Disclosure

License