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Codesafer

by goldmembraneversion 1.0.1i★ –iRuns on your computer
Registry nameio.github.goldmembrane/codesafer

Install

Overview

Description from the maker (original English)

Scans AI-generated code for invisible Unicode, Trojan Source, and supply-chain threats.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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": {
    "codesafer": {
      "command": "npx",
      "args": [
        "-y",
        "cleaner-code"
      ]
    }
  }
}

Run this in your terminal

claude mcp add codesafer -- npx -y cleaner-code

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "codesafer": {
      "command": "npx",
      "args": [
        "-y",
        "cleaner-code"
      ]
    }
  }
}

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": {
    "codesafer": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "cleaner-code"
      ]
    }
  }
}

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 goldmembrane, 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 32435 servers in this category
  • Published to the registry more recently than 6% of the other 32435 servers in this category
  • Basic checks equal to or better than 100% of the other 32435 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 Codesafer 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 (1.0.1) reached the registry 7 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: Spec Driven Development, Remote Desktop Commander, Apify MCP Server

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

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
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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
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Extract data from any website with thousands of scrapers, crawlers, and automations on Apify Store ⚡

Runs in the cloudUpdated 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.

CodeSafer (cleaner-code)

AI code security scanner as a Model Context Protocol (MCP) server.

Detects hidden threats in AI-generated code that traditional linters miss.

Website: codesafer.org · MCP Clients: Claude Code, Cursor, VS Code + Copilot, Cline


Why CodeSafer?

AI coding assistants generate code fast — but who's checking it for hidden threats?

Recent supply-chain attacks show that malicious code can hide in ways human reviewers and traditional linters routinely miss:

  • Invisible Unicode characters injected into identifiers (30+ variants)
  • BiDi / Trojan Source attacks that reorder how code is displayed vs. executed (CVE-2021-42574)
  • Homoglyphs — Cyrillic characters masquerading as Latin (CVE-2021-42694)
  • Glassworm-style Unicode steganography hiding payloads in whitespace
  • Rules file backdoors planted in .cursorrules, CLAUDE.md, and other AI config files
  • Typosquatted dependencies in package.json
  • Obfuscation patterns — eval + base64, reverse shells, packed payloads

CodeSafer scans for all of these before the code runs on your machine.


How it works

CodeSafer runs as a local MCP server. Your AI client (Claude Code, Cursor, etc.) calls its tools when reviewing or generating code, and findings are returned inline.

Hybrid detection:

  1. 8 static analysis scanners — deterministic rules for known attack categories (fast, zero false-negatives on the patterns they cover).
  2. CodeBERT deep analysis — transformer model classifies code chunks as malicious/benign with confidence scores. Catches obfuscated or novel patterns that static rules miss.

Nothing leaves your machine. The AI analysis runs locally against a tokenizer server.


Features

CapabilityDetails
Invisible character detection30+ Unicode variants including Zero-Width Space, Mongolian Vowel Separator
BiDi / Trojan SourceFull CVE-2021-42574 coverage
Homoglyph detectionCyrillic/Greek/Latin confusables (CVE-2021-42694)
Unicode steganographyGlassworm-style whitespace payloads
Rules file backdoorsScans .cursorrules, CLAUDE.md, .claude/, Cursor rules
Dependency scanningTyposquatting + suspicious install scripts in package.json
Obfuscation detectioneval + base64, reverse shells, packed payloads
AI deep analysisCodeBERT transformer classifier with confidence scores
MCP native6 MCP tools, stdio transport
Local-firstNo code uploaded — runs entirely on your machine

MCP Tools

CodeSafer exposes six tools to your MCP client:

ToolPurpose
scan_fileScan a single file for hidden malicious code patterns
scan_directoryRecursively scan a directory across all source files
scan_rules_fileScan an AI configuration/rules file for prompt injection and Rules File Backdoor attacks
check_dependenciesCheck package.json for typosquatting, suspicious install scripts, and dependency risks
ai_analyzeDeep AI analysis using the trained CodeBERT model (classifies chunks as malicious/benign with confidence)
explain_findingGet detailed explanation of a specific threat category, with attack scenarios and remediation

Installation

Prerequisites
  • Node.js 18 or later
  • An MCP-compatible client (Claude Code, Cursor, VS Code + Copilot, Cline)
From source
git clone https://github.com/goldmembrane/cleaner-code.git

cd cleaner-code npm install npm run build

Configure your MCP client

Claude Code (~/.claude.json or project .mcp.json):

{

"mcpServers": { "codesafer": { "command": "node", "args": ["/absolute/path/to/cleaner-code/dist/index.js"] } } }

Cursor (.cursor/mcp.json):

{

"mcpServers": { "codesafer": { "command": "node", "args": ["/absolute/path/to/cleaner-code/dist/index.js"] } } }

Restart your client, and CodeSafer tools will appear in the tool picker.


Usage

Once configured, ask your AI client things like:

  • *"Scan this file for hidden security issues."*
  • *"Check the dependencies in package.json for typosquatting."*
  • *"Scan .cursorrules for a rules-file backdoor."*
  • *"Run a deep AI analysis of src/auth.ts."*
  • *"Explain what a Trojan Source attack is and how to fix the finding above."*

The client will call the appropriate MCP tool and return findings with severity, line numbers, and remediation guidance.


Free tier & Plans

CodeSafer is free to use. Static analysis (scan_file, scan_directory, scan_rules_file, check_dependencies, explain_finding) has no limits.

AI deep analysis (ai_analyze) includes 10 free runs per session. Paid plans for higher AI quotas are available at codesafer.org.


Detection categories

CodeSafer detects threats across 9 categories:

  1. Invisible Unicode characters — 30+ variants including Zero-Width Space, Zero-Width Joiner
  2. BiDi / Trojan Source attacks — CVE-2021-42574
  3. Homoglyphs — Cyrillic/Greek characters masquerading as Latin (CVE-2021-42694)
  4. Unicode steganography — Glassworm patterns in whitespace
  5. Rules file backdoors — malicious instructions in .cursorrules, CLAUDE.md, etc.
  6. Dependency risks — typosquatting and suspicious install scripts
  7. Obfuscation patterns — eval + base64, packed payloads, reverse shells
  8. Static analysis findings — 8 deterministic scanners
  9. AI deep analysis — CodeBERT transformer for novel and obfuscated threats

Project structure

cleaner-code/

├── src/ │ ├── index.ts # MCP server entry point │ ├── api-server.ts # Optional HTTP API server │ ├── types.ts # Scanner interfaces │ ├── utils.ts # File collection, summary formatting │ └── scanner/ │ ├── invisible.ts # Invisible Unicode scanner │ ├── bidi.ts # BiDi / Trojan Source scanner │ ├── homoglyph.ts # Homoglyph scanner │ ├── encoding.ts # Encoding / charset scanner │ ├── obfuscation.ts # Obfuscation pattern scanner │ ├── steganography.ts # Unicode steganography scanner │ ├── rules-backdoor.ts # Rules file backdoor scanner │ ├── dependency.ts # Dependency risk scanner │ └── ai-analyzer.ts # CodeBERT deep analyzer ├── ml/ # ML model assets and tokenizer ├── functions/ # Cloud function deployments ├── deploy/ # Deployment manifests └── web/ # Landing page assets


License

ISC — see the LICENSE file for details.


Links

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