An MCP server that provides code review functionality using OpenAI, Google, and Anthropic models, serving as a "second opinion" tool that works with any MCP client.
Enables comprehensive security scanning of code projects, detecting vulnerabilities in dependencies, code patterns (XSS, eval, etc.), and exposed secrets, with detailed reports in Spanish prioritized by severity.
AI-powered code review tool that detects AI-generated code defects invisible to traditional linters — hallucinated packages, deprecated APIs, cross-file contradictions, hidden security anti-patterns, and over-engineering. Works as a standalone CLI, GitHub Action, or MCP server. Supports TypeScript, Python, Java, Go, and Kotlin. Free for individuals, no API key required.
Static analysis for vibe-coded apps. Flags security, reliability, performance, and AI quality issues in code generated by Cursor, v0, Bolt, and Copilot.
Enables AI-powered, zero-trust code review with multiple models, supporting single files, git diffs, and multiple files, with security, performance, and architecture checks across 10+ languages.
Enables comprehensive code reviews using multiple AI models (O3, Gemini, Claude Opus) and consolidates results with GPT-4, focusing on bugs, security, performance, and best practices.
AI-powered code review assistant that analyzes repositories for security vulnerabilities, performance bottlenecks, and code quality issues through natural language interactions.