io.github.JayOfemi/byakugan

Registre officiel IA et agents

Private, on-device AI-text analysis including detection, AI-tell spans, and reuse overlap.

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package @jayofemi/ai-checker
Claude Code
claude mcp add byakugan -- npx -y @jayofemi/ai-checker@1.0.0
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "byakugan": {
            "command": "npx",
            "args": [
                "-y",
                "@jayofemi/ai-checker@1.0.0"
            ]
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. AI Checker
  2. 1. In your browser
  3. 2. Inside the AI you already use
  4. What to expect
  5. Layout
  6. License

AI Checker

Check whether writing reads as AI, on your own machine, then improve how it reads. Free and open source.

Two ways to use it.

1. In your browser

A static web app. Paste your text and get a read on how AI-like it sounds, with a plain-language explanation, a grammar pass, and a check against your own documents for reuse. Everything runs in the page, and nothing you paste leaves the browser.

Run it locally:

cd site
npm install
npm run dev

2. Inside the AI you already use

A mcp server for your AI assistant (Claude Desktop, an IDE, any MCP client). It gives that AI a detection read plus the exact phrases that read as AI, so your own AI can check and rewrite your writing, on your machine.

For Claude Desktop, add this to claude_desktop_config.json and restart:

{
  "mcpServers": {
    "ai-checker": {
      "command": "npx",
      "args": ["-y", "@jayofemi/ai-checker"]
    }
  }
}

Claude Code users can install it as a plugin instead: /plugin marketplace add JayOfemi/byakugan, then /plugin install ai-checker@ai-checker.

Then tell your AI "use ai-checker to check this text" and paste what you want checked. Full setup, the tools, and how to verify it are in mcp/README.md.

What to expect

AI-text detection is a signal, not a verdict, and it is biased against non-native English writers. It is shown as a likelihood with its confidence, never a yes/no judgement. Stiff, even, stock-phrase-heavy writing reads high; varied, personal writing reads low. Use it on your own work.

Layout

Each folder is its own package with its own build. Node 22 (.nvmrc).

License

MIT. Copyright (c) 2026 Jay Ofemi.

Questions fréquentes

Qu'est-ce que io.github.JayOfemi/byakugan ?

Private, on-device AI-text analysis including detection, AI-tell spans, and reuse overlap.

Comment installer io.github.JayOfemi/byakugan ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add byakugan -- npx -y @jayofemi/ai-checker@1.0.0. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.JayOfemi/byakugan ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

io.github.JayOfemi/byakugan est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.JayOfemi/byakugan ?

Il est publié par JayOfemi. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.