GLIN PROFANITY

GLIN PROFANITY

ML-Powered Profanity Detection for the Modern Web

📦 Packages

This monorepo maintains the following packages:

Package	Version	Description
glin-profanity		Core profanity filter for JavaScript/TypeScript
glin-profanity		Core profanity filter for Python
glin-profanity-mcp		MCP server for AI assistants (Claude, Cursor, etc.)
openclaw-profanity		Plugin for OpenClaw/Moltbot AI agents

Why Glin Profanity?

Most profanity filters are trivially bypassed. Users type f*ck, sh1t, or fսck (with Cyrillic characters) and walk right through. Glin Profanity doesn't just check against a word list—it understands evasion tactics.

┌─────────────────────────────────────────────────────────────────────────────┐
│                           GLIN PROFANITY v3                                 │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│   Input Text ──►  Unicode       ──►  Leetspeak    ──►  Dictionary  ──► ML  │
│                   Normalization      Detection         Matching        Check│
│                   (homoglyphs)       (f4ck→fuck)       (23 langs)     (opt) │
│                                                                             │
│   "fսck"     ──►  "fuck"        ──►  "fuck"       ──►  MATCH       ──► ✓   │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

Performance Benchmarks

Tested on Node.js 20, M1 MacBook Pro, single-threaded:

Feature Comparison

Installation

JavaScript/TypeScript

npm install glin-profanity

Python

pip install glin-profanity

Quick Start

JavaScript

import { checkProfanity, Filter } from 'glin-profanity';

// Simple check
const result = checkProfanity("This is f4ck1ng bad", {
  detectLeetspeak: true,
  languages: ['english']
});

result.containsProfanity  // true
result.profaneWords       // ['fucking']

// With replacement
const filter = new Filter({
  replaceWith: '***',
  detectLeetspeak: true
});
filter.checkProfanity("sh1t happens").processedText  // "*** happens"

Python

from glin_profanity import Filter

filter = Filter({"languages": ["english"], "replace_with": "***"})

filter.is_profane("damn this")           # True
filter.check_profanity("damn this")      # Full result object

React

import { useProfanityChecker } from 'glin-profanity';

function ChatInput() {
  const { result, checkText } = useProfanityChecker({
    detectLeetspeak: true
  });

  return (
    <input onChange={(e) => checkText(e.target.value)} />
    {result?.containsProfanity && <span>Clean up your language</span>}
  );
}

Architecture

flowchart LR
    subgraph Input
        A[Raw Text]
    end

    subgraph Processing
        B[Unicode Normalizer]
        C[Leetspeak Decoder]
        D[Word Tokenizer]
    end

    subgraph Detection
        E[Dictionary Matcher]
        F[Fuzzy Matcher]
        G[ML Toxicity Model]
    end

    subgraph Output
        H[Result Object]
    end

    A --> B --> C --> D
    D --> E --> H
    D --> F --> H
    D -.->|Optional| G -.-> H

Detection Capabilities

Leetspeak Detection

const filter = new Filter({
  detectLeetspeak: true,
  leetspeakLevel: 'aggressive'  // basic | moderate | aggressive
});

filter.isProfane('f4ck');     // true
filter.isProfane('5h1t');     // true
filter.isProfane('@$$');      // true
filter.isProfane('ph.u" "ck'); // true (aggressive mode)

Unicode Homoglyph Detection

const filter = new Filter({ normalizeUnicode: true });

filter.isProfane('fսck');   // true (Armenian 'ս' → 'u')
filter.isProfane('shіt');   // true (Cyrillic 'і' → 'i')
filter.isProfane('ƒuck');   // true (Latin 'ƒ' → 'f')

ML-Powered Detection

import { loadToxicityModel, checkToxicity } from 'glin-profanity/ml';

await loadToxicityModel({ threshold: 0.9 });

const result = await checkToxicity("You're the worst player ever");
// { toxic: true, categories: { toxicity: 0.92, insult: 0.87, ... } }

Supported Languages

23 languages with curated dictionaries:

Documentation

Local Testing Interface

Run the interactive playground locally to test profanity detection:

# Clone the repo
git clone https://github.com/GLINCKER/glin-profanity.git
cd glin-profanity/packages/js

# Install dependencies
npm install

# Start the local testing server
npm run dev:playground

Open http://localhost:4000 to access the testing interface with:

• Real-time profanity detection
• Toggle leetspeak, Unicode normalization, ML detection
• Multi-language selection
• Visual results with severity indicators

Use Cases

MCP Server for AI Assistants

Glin Profanity includes an MCP (Model Context Protocol) server that enables AI assistants like Claude Desktop, Cursor, Windsurf, and other MCP-compatible tools to use profanity detection as a native tool.

Quick Setup

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "glin-profanity": {
      "command": "npx",
      "args": ["-y", "glin-profanity-mcp"]
    }
  }
}

Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "glin-profanity": {
      "command": "npx",
      "args": ["-y", "glin-profanity-mcp"]
    }
  }
}

Available Tools (19)

Plus 4 workflow prompts and 5 reference resources for guided AI interactions.

Example Prompts for AI Assistants

"Check this user comment for profanity using glin-profanity"
"Validate this blog post content with high strictness"
"Batch check these 50 messages for any inappropriate content"
"Analyze this medical text with the medical domain context"

See the full MCP documentation for setup instructions and examples.

Roadmap

See our ROADMAP.md for planned features including:

• Streaming support for real-time chat
• OpenAI function calling integration
• Image OCR for profanity in images
• Edge deployment (Cloudflare Workers, Vercel Edge)
• More framework integrations

License

MIT License - free for personal and commercial use.

Enterprise licensing with SLA and support available from GLINCKER.

Contributing

See CONTRIBUTING.md for guidelines. We welcome:

• Bug reports and fixes
• New language dictionaries
• Performance improvements
• Documentation updates

Star History