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Private, on-device AI-text analysis including detection, AI-tell spans, and reuse overlap.
Private, on-device AI-text analysis including detection, AI-tell spans, and reuse overlap.
AI Checker is a well-designed text analysis tool with clean, transparent code. The MCP server performs local linguistic analysis without exfiltration risks or dangerous patterns. Minor code quality observations exist (broad error handling, logging practices), but the security posture is strong. Permissions (network_http for downloading ML models, env_vars for MCP SDK) are appropriate for the stated purpose. Supply chain analysis found 7 known vulnerabilities in dependencies (0 critical, 4 high severity). Package verification found 1 issue.
8 files analyzed · 13 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-jayofemi-byakugan": {
"args": [
"-y",
"@jayofemi/ai-checker"
],
"command": "npx"
}
}
}From the project's GitHub README.
Check whether writing reads as AI, on your own machine, then improve how it reads. Free and open source.
Two ways to use it.
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
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"]
}
}
}
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.
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.
site/ - the browser checker, a static web app. See site/README.md.mcp/ - the MCP server and TypeScript library. See mcp/README.md.Each folder is its own package with its own build. Node 22 (.nvmrc).
MIT. Copyright (c) 2026 Jay Ofemi.
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