MCP-Native · 50+ Detection Patterns · 8 Languages

AI Code Safety
for the MCP Era

ailinter scans your AI-generated code for quality issues, hardcoded secrets, and security vulnerabilities — before they reach production. Built natively for the Model Context Protocol. Works with Claude, OpenCode, and Cursor.

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terminal — ailinter check .
$ ailinter check . --format markdown

## app.py
- Language: python | Lines: 45 | Score: 92/100 — Proceed with Care

### Code Quality Issues (1)
- deep_nesting (warning): Nesting depth 4 at line 32

### Shield Vulnerability Scan (2 findings)
- pickle_deserialization (critical): pickle.load[s]() can execute arbitrary code
- eval_injection (critical): eval() with untrusted input enables arbitrary code execution

### Secret Scan — Clean

Three Scanners, One Tool

Everything you need to keep AI-generated code safe and maintainable.

Code Quality

16 detectors for deep nesting, brain methods, bumpy roads, complex conditionals, duplication, and more. Score 0-100 with AI-friendly guidance.

Secrets Detection

269 rules for AWS keys, Stripe tokens, GitHub PATs, private keys, JWT, and more. Secrets are redacted in output — never leaked to AI context.

Vulnerability Scanning

50+ patterns across injection, XSS, deserialization, weak crypto, XXE, SQLi, SSRF, and path traversal. 8 languages supported with line-level reporting.

MCP SERVER · STDIO TRANSPORT

Runs Where Your AI Agent Runs

ailinter is an MCP server — AI coding assistants invoke it directly. No separate daemon, no API key, no cloud dependency. Every scan is local, fast, and private.

Claude | OpenCode | Cursor | Continue.dev | Zed
50+
Vulnerability Patterns
269
Secret Detection Rules
8
Languages Supported
0.2s
Per File Scan

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