Why this server?

Integrates Semgrep static analysis tool with AI assistants like Anthropic Claude, enabling advanced code analysis, security vulnerability detection, and code quality improvements through a conversational interface. This can help you identify areas where you can use modern C++ features to improve code quality and security.

Why this server?

Provides Zig language tooling and code analysis, enhancing AI capabilities with Zig-specific functions like code optimization, compute unit estimation, code generation, and recommendations for best practices. This might be relevant if you are considering adopting Zig or interoperating with it from C++.

Why this server?

Provides a framework that enables websites to share tools, resources, and prompts with client-side LLMs without requiring API keys, allowing users to interact with web services using their preferred models. Rules, featuring built-in security measures and a smart rule system which could be used for projects with complex code structures.

Why this server?

A Model Context Protocol server that enhances AI-generated code quality through comprehensive analysis across 10 critical dimensions, helping identify issues before they become problems. Could be useful to improve generated code that uses modern C++ features.